Wind Power Generation Research output Analysis: seen ... Power Generation Research...Wind Power...

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1 International Journal of Next Generation Library and Technologies (ISSN 2395-5201)

Volume 1 Issue 2 / May 2015

Wind Power Generation Research output Analysis: seen

through Scopus

M.N. Venktesan1, Dr. S. Thanuskodi2

1. Research Scholar (PhD), Department of LIS, Alagappa University, Karaikkudi - 630 003

2. Associate Professor and Head, Dept. of LIS, Alagappa University, Karaikkudi - 630 003

Abstract

This paper aims to analyze quantitatively the growth and development of wind power

generation in world in terms of publication output as reflected in Scopus database during

1980 to 2014(35 years). Total of 20,779 papers published by the researchers in the field

Wind Power Generation (WPG) in various archers to various domains. Firstly, among

the subject category Engineering topped with 38% of documents, in source type category

Conference Papers were 48% as document type and the most preferred journals were

Renewable Energy 6%. Secondly the contributed institutions the North China Electric

Company ranked first with 2.3% papers and the Country based analysis China ranked 1st

with 18% publications followed by USA 16% and India ranked 5th with 5%. Finally Year

wise analysis showed that WPG papers gradually increased with average 594 papers per

year, in 2012 topped with 2706 papers and lowest 42 in the year 1989.

Keywords: Wind Energy, Wind power, Wind Power Generation (WPG), Scientometric Analysis, Year

wise and Authorship pattern, etc.

1. Introduction

Wind power is one of the renewable energy sources that produce no greenhouse gas emissions

during power generation and is an alternative to fossil fuels and it occupies little land. Wikipedia

describes “Wind is a form of solar energy. Winds caused by the uneven heating of the atmosphere by the

sun, the irregularities of the earth's surface, and rotation of the earth. Wind flow patterns modified by the

earth's terrain, bodies of water, and vegetative cover. This wind flow when harvested by modern wind

turbines used to generate electricity.

Denmark generating around 40% of its electricity from wind, and at least 83 other countries

around the world are using wind power to supply their electricity grids. Wind power production was

around 4% of total worldwide electricity usage, and gradually rising. In the terms of installed wind power

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capacity in the world, India has the fifth largest one. Indian wind energy production, the Wikipedia

describes from various collection resources “As of 31 March 2015 the installed capacity of wind power in

India was 23,444 MW, mainly spread across Tamil Nadu (7,253 MW), Gujarat (3,093

MW), Maharashtra (2,976 MW), Karnataka (2,113 MW), Rajasthan (2,355 MW), Madhya Pradesh (386

MW), Andhra Pradesh (916 MW), Kerala (35.1 MW), etc.

Tamil Nadu has become a leader in Wind Power in India. According to TEDA (Tamil Nadu

Energy Development Agency, The wind installed capacity in 7349 MW as on 31.07.2014. This is 36% of

the country’s total wind installed capacity. The Muppandal wind farm in Tamil Nadu the total capacity is

1500 MW, which is the largest in India. (Table 1 and Figure 1 show that top 10 countries wind power

electricity producing countries).

Table 1: Top 10 wind power electricity producing Countries in the world

Sl. No. Country Wind Power Generation % of World Total

1 USA 140.9 26.4 2 China 118.1 22.1 3 Spain 49.1 9.2 4 Germany 46 8.6 5 India 30 5.6 6 UK 19.6 3.7 7 France 14.9 2.8 8 Italy 13.4 2.5 9 Canada 11.8 2.2 10 Denmark 10.3 1.9 11 Rest of World 80.2 15

Total 534.3 Twh* 100 Source: ObservER-electricity production from wind sources 2012 *Terawatt-hours

Figure 1: Top 10 wind power electricity producing Countries in the world

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3. Objectives

The main objective of the study is to present the growth of literature and make the quantitative

assessment of status of Wind Power Generation (WPG) research by analyzing the various features. The

specific objectives are:

• To identify the quantum of wind power generation literature and its growth during the pried 1980

to 2014.

• To identify the Author, document type, Source type, Subject and country wise distribution of

global WPG research output.

• To measure the Institution and Language wise distribution in WPG research literature.

4. Methodology

The required data collected from Scopus database for the period 1980 to 2014, nearly 20,779

bibliographic records of contribution in the field of Wind Power Generation over the period of 35 years.

The researcher applied the search string “Wind Power Generation” that has used for the data extraction,

total 20,779 records downloaded and analyzed by using MS Excel software applications as per the

objectives of the study. This research study also going to explore the growth rate and relative growth level

during the study period. The study aims to analyze the thrust areas of research concentration on Wind

Power Generation (WPG) research.

140.9

118.1

49.1 46

3019.6 14.9 13.4 11.8 10.3

80.2

0

20

40

60

80

100

120

140

160

WPG world total (Twh)

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Scopus is a bibliographic database containing abstracts and citations for academic journal articles.

It covers nearly 22,000 titles from over 5,000 publishers, of which 20,000 are peer-reviewed journals in

the scientific, technical, medical, and social sciences. Owned by Elsevier and is available online

by subscription. Searches in Scopus also incorporate searches of patent databases. Scientometrics is the

quantitative study of the disciplines of science based on published literature and communication. This

could include identifying the emerging areas of scientific research, examining the development of

research over time, or geographic and organizational distributions of research.

5. Results and Discussions

5.1. Year-wise distribution of Publications

During the study period 1980 to 2014, the year wise analysis reflected with average 594 papers

per year. From the year 1980 the wind power generation articles gradually increased in particular after the

year 2007 get the momentum in this field and topped with 2706 papers in the year 2012 and the lowest

just 42 in the year 1989. The trend shows that Wind Power Generation (WPG) publications have

gradually increased. (Table 2 and Figure 2 show that the 35 years of contributions).

Table 2: Year wise distribution of publications

Sl. No. Year Publications % Cumulative %

1 1980 82 0.39 82 0.39

2 1981 120 0.58 202 0.97

3 1982 104 0.50 306 1.47

4 1983 106 0.51 412 1.98

5 1984 119 0.57 531 2.56

6 1985 149 0.72 680 3.27

7 1986 72 0.35 752 3.62

8 1987 49 0.24 801 3.85

9 1988 75 0.36 876 4.22

10 1989 42 0.20 918 4.42

11 1990 45 0.22 963 4.63

12 1991 52 0.25 1015 4.88

13 1992 73 0.35 1088 5.24

14 1993 70 0.34 1158 5.57

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15 1994 86 0.41 1244 5.99

16 1995 92 0.44 1336 6.43

17 1996 129 0.62 1465 7.05

18 1997 108 0.52 1573 7.57

19 1998 89 0.43 1662 8.00

20 1999 129 0.62 1791 8.62

21 2000 135 0.65 1926 9.27

22 2001 171 0.82 2097 10.09

23 2002 254 1.22 2351 11.31

24 2003 373 1.80 2724 13.11

25 2004 529 2.55 3253 15.66

26 2005 565 2.72 3818 18.37

27 2006 705 3.39 4523 21.77

28 2007 994 4.78 5517 26.55

29 2008 1204 5.79 6721 32.35

30 2009 1720 8.28 8441 40.62

31 2010 2069 9.96 10510 50.58

32 2011 2347 11.30 12857 61.87

33 2012 2706 13.02 15563 74.90

34 2013 2691 12.95 18254 87.85

35 2014 2525 12.15 20779 100.00

Total 20779 100.00

Figure 2: Year Wise Publications

International Journal of Next Generation Library and Technologies (ISSN 2395

5.2. Author wise contributions

Author wise contributions show

published 81 articles and Chen. Z published 73 articles

The Total 46 records published without the author

show top 25 authors contributions).

Sl. No.

1 Senjyu, T.

2 Funabashi, T.

3 Chen, Z.

4 Yona, A.

5 Blaabjerg, F.

6 Muljadi, E.

7 Strbac, G.

8 Tamura, J.

9 Kling, W.L.

10 Anon

11 Lee, W.J.

12 Pinson, P.

13 Jenkins, N.

0

500

1000

1500

2000

2500

3000

1980 1985


Volume 1 Issue

contributions show, Senju, T ranked first and published 90

Chen. Z published 73 articles in the field of Wind Power Generation (NPG).

records published without the author name mentioned as Anonymous. (Table 2 and Figure 2

show top 25 authors contributions).

Table 3: Author wise contributions

Author Publications %

Senjyu, T. 90 1.85

Funabashi, T. 81 1.67

Chen, Z. 73 1.50

Yona, A. 66 1.36

Blaabjerg, F. 65 1.34

Muljadi, E. 51 1.05

Strbac, G. 49 1.01

Tamura, J. 49 1.01

Kling, W.L. 48 0.99

Anon (Anonymous) 46 0.95

Lee, W.J. 46 0.95

Pinson, P. 46 0.95

Jenkins, N. 45 0.93

1990 1995 2000 2005 2010

Year wise distribution Publications

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Senju, T ranked first and published 90 articles, Funabashi. T

Power Generation (NPG).

Anonymous. (Table 2 and Figure 2

1.85

1.67

1.50

1.36

1.34

1.05

1.01

1.01

0.99

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0.95

0.95

0.93

2010 2015

Publications


14 Flynn, D.

15 Takahashi, R.

16 El

17 Gomis

18 Urasaki, N.

19 O'Malley, M.

20 Karki, R.

21 Billinton, R.

22 Erlich, I.

23 Cai, X.

24 Kaldellis, J.K.

25 Keane, A.

5.3. Document Wise Distribution

The Global Wind Power

highest number of publications was 9872 (

572 (3%), there Undefined documents were

document wise contributions clearly).

0

50

100 90

81

73

66


Volume 1 Issue

Flynn, D. 44 0.91

Takahashi, R. 42 0.87

El-Saadany, E.F. 40 0.82

Gomis-Bellmunt, O. 39 0.80

Urasaki, N. 38 0.78

O'Malley, M. 37 0.76

Karki, R. 36 0.74

Billinton, R. 34 0.70

Erlich, I. 34 0.70

Cai, X. 33 0.68

Kaldellis, J.K. 33 0.68

Keane, A. 33 0.68

Figure 3: Author wise contributions

Wise Distribution

The Global Wind Power Generation (WPG) has produced a total of 20

highest number of publications was 9872 (48%) Conference Papers, Journal articles 8855

%), there Undefined documents were 461 (2.2%) and so on. (Table 3

document wise contributions clearly).

66

65

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49

48

46

46

46

45

44

42

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39

38

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34

33

Author wise distributionPublications

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0.91

0.87

0.82

0.80

0.78

0.76

0.74

0.70

0.70

0.68

0.68

0.68

of 20,779 publications. The

articles 8855 (43%), Review

and Figure 3 show the

33

33

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Publications


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Total

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Volume 1 Issue

Table 4: Document Type Wise Publication

Document Type Publications %

Conference Paper 9872 47.51

Article 8855 42.62

Review 572 2.75

Conference Review 381 1.83

Article in Press 145 0.70

Note 141 0.68

Book Chapter 112 0.54

Short Survey 76 0.37

Business Article 74 0.36

Book 50 0.24

Letter 15 0.07

Report 15 0.07

Editorial 8 0.04

Erratum 2 0.01

Undefined 461 2.22

20779 100.00

Figure 4: Document Type Wise Publication

9872

8855

Document type wise distribution Conference Paper

Article

Review

Conference Review

Article in Press

Note

Book Chapter

Short Survey

Business Article

Book

Letter

Report

Editorial

Erratum

Undefined

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47.51

42.62

2.75

1.83

0.70

0.68

0.54

0.37

0.36

0.24

0.07

0.07

0.04

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2.22

100.00

Conference Paper

Conference Review

Article in Press

Book Chapter

Short Survey

Business Article

Editorial

Erratum

Undefined

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5.4. Research Area/Subject wise contribution

The global Wind Power Generation (WPG) has produced 27 research areas in the Scopus

database classifies papers it indexes Engineering 12031 (38%), Energy 10680 (34%), Computer Science

2294 (7%) and so on. (Table 4 and Figure 4 clearly show the Research Areas/ Subject wise contributions).

Table 5: Research Area/ Subject wise contribution

Sl. No. Subject Area Publications %

1 Engineering 12031 38.43

2 Energy 10680 34.12

3 Computer Science 2294 7.33

4 Environmental Science 1506 4.81

5 Physics and Astronomy 782 2.50

6 Earth and Planetary Sciences 764 2.44

7 Materials Science 635 2.03

8 Mathematics 580 1.85

9 Chemical Engineering 522 1.67

10 Social Sciences 376 1.20

11 Business, Management and Accounting 254 0.81

12 Chemistry 222 0.71

13 Agricultural and Biological Sciences 156 0.50

14 Economics, Econometrics and Finance 133 0.42

15 Decision Sciences 112 0.36

16 Multidisciplinary 105 0.34

17 Biochemistry, Genetics and Molecular Biology 50 0.16

18 Medicine 46 0.15

19 Arts and Humanities 23 0.07

20 Health Professions 8 0.03

21 Psychology 7 0.02

22 Neuroscience 5 0.02

23 Pharmacology, Toxicology and Pharmaceutics 5 0.02

24 Immunology and Microbiology 4 0.01

25 Undefined 3 0.01

26 Nursing 1 0.00


27 Veterinary

Total

Figure 4

5.5. Country wise Distribution

The country wise distribution said that

of Wind Power Generation (WPG).

United Kingdom 1401 (7%) and Japan1050

position. (Table 5 and Figure 5 show the top 25 countries contributions in this

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Volume 1 Issue

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Figure 4: Research Area/ Subject wise contribution

The country wise distribution said that 134 different countries with 20779

PG). China topped with 3830 (18%) publications, USA 3319

7%) and Japan1050 (5%). India published 1009 (5%) publications with 5

5 and Figure 5 show the top 25 countries contributions in this field).

Table 6: Country wise Distribution

Country Publications %

China 3830 18.43

United States 3319 15.97

United Kingdom 1401 6.74

Japan 1050 5.05

India 1009 4.86

Germany 928 4.47

Canada 801 3.85

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20779 documents in the field

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8 Spain 666 3.21

9 Denmark 559 2.69

10 Iran 499 2.40

11 Australia 469 2.26

12 Italy 468 2.25

13 South Korea 371 1.79

14 France 361 1.74

15 Netherlands 291 1.40

16 Brazil 286 1.38

17 Taiwan 275 1.32

18 Portugal 267 1.28

19 Greece 263 1.27

20 Ireland 248 1.19

21 Sweden 227 1.09

22 Turkey 223 1.07

23 Egypt 182 0.88

24 Belgium 157 0.76

25 Norway 156 0.75

Figure 6: Country wise Distribution

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5.6. Source Title wise Distribution

Source wise analysis shows that, the highest numbers of publications were in Renewable Energy

650 (6%), Energy Policy 359 (3%), IEEE Power and Energy Society General Meeting 352 (3%) and so

on in the field of Wind Power Generation (WPG). (Table 6 and Figure 6 show the top 25 ranking Source

Titles during the 35 years study period.

Table 7: Source Title wise Distribution

Sl. No. Source Title Publications %

1 Renewable Energy 650 5.52

2 Energy Policy 359 3.05

3 IEEE Power and Energy Society General Meeting 352 2.99

4 IEEE Transactions on Power Systems 324 2.75

5 Advanced Materials Research 305 2.59

6 Wind Engineering 304 2.58

7 Applied Mechanics and Materials 295 2.51

8 Dianli Xitong Zidonghua Automation of Electric Power Systems 290 2.46

9 Renewable and Sustainable Energy Reviews 278 2.36

10 Energy 267 2.27

11 IEEE Transactions on Energy Conversion 223 1.89

12 Iet Conference Publications 221 1.88

13 Applied Energy 218 1.85

14

Zhongguo Dianji Gongcheng Xuebao Proceedings of the Chinese

Society of Electrical Engineering 211 1.79

15 Dianwang Jishu Power System Technology 198 1.68

16 Proceedings of the Universities Power Engineering Conference 185 1.57

17 Asia Pacific Power and Energy Engineering Conference Appeec 180 1.53


18 Wind Energy

19 IECON Proceedings Industrial Electronics Conference

20 Taiyangneng Xuebao Acta Energiae Solaris Sinica

21 IEEE Transactions on Sustainable Energy

22

Dianli Xitong Baohu Yu Kongzhi

Control

23 Energy Conversion and Management

24 Power

25 International Journal of Electrical Power and Energy Systems

5.7. Institution wise Distribution

In the field of Wind Power Generation (W

in the study period. North China Electric Power University

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Volume 1 Issue

IECON Proceedings Industrial Electronics Conference

Taiyangneng Xuebao Acta Energiae Solaris Sinica

IEEE Transactions on Sustainable Energy

Dianli Xitong Baohu Yu Kongzhi Power System Protection and

Energy Conversion and Management

International Journal of Electrical Power and Energy Systems

Figure 7: Source Title wise Distribution

Distribution

In the field of Wind Power Generation (WPG), only 23 institutions have published more than

North China Electric Power University is top leading research institutions with

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166 1.41

151 1.28

135 1.15

131 1.11

131 1.11

120 1.02

117 0.99

115 0.98

institutions have published more than 100 papers

is top leading research institutions with 478

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publications followed by IEEE 380, Tsinghua University with 248, and so on. (Table 7 and Figure 7 show

that top 25 most productive institutions in WPG field.

Table 8: Institution wise Distribution

Sl. No. Affiliation Publications %

1 North China Electric Power University 478 2.30

2 IEEE 380 1.83

3 Tsinghua University 248 1.19

4 Aalborg Universitet 232 1.12

5 Danmarks Tekniske Universitet 211 1.02

6 National Renewable Energy Laboratory 189 0.91

7 China Electric Power Research Institute 175 0.84

8 Zhejiang University 174 0.84

9 State Grid 142 0.68

10 Chongqing University 142 0.68

11 University of Strathclyde 136 0.65

12 Delft University of Technology 131 0.63

13 Indian Institute of Technology Delhi 125 0.60

14 University College Dublin 119 0.57

15 Huazhong University of Science and Technology 119 0.57

16 Xi'an Jiaotong University 117 0.56

17 Shanghai Jiaotong University 112 0.54

18 University of Manchester 108 0.52

19 Tianjin University 108 0.52

20 Southeast University 107 0.51

21 Ethniko Metsovio Polytechnico 103 0.50

22 University of the Ryukyus 101 0.49

23 Daneshgahe Azad Eslami 100 0.48

24 University of Tokyo 98 0.47

25 Universitat Politecnica de Catalunya 97 0.47


5.8. Keyword wise Distribution

The keyword wise analysis shows

(WPG) publications during the study period 1980 to 2014.

12783(11%) publications, Electric

3889 (3%) publications and so on.

field.

Sl. No.

1 Wind power

2 Electric power generation

3 Wind turbines

4 Electric utilities

5 Power generation

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Volume 1 Issue

Figure 8: Institution wise Distribution

Distribution

analysis shows that, there were 160 keywords terms used in Wind Power Generation

publications during the study period 1980 to 2014. The top keyword term

, Electric Power Generation with 5309 (5%) publications, Wind Turbines with

3889 (3%) publications and so on. (Table 8 and Figure 8 show that top 25 Keywords term used in

Table 9: Keyword wise Distribution

Keyword Publications

Wind power 12783

Electric power generation 5309

Wind turbines 3889

Electric utilities 3467

Power generation 2511

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uth

ea

st U

niv

ers

ity

Eth

nik

o M

ets

ovi

o …

18

9

17

5

17

4

14

2

14

2

13

6

13

1

12

5

11

9

11

9

11

7

11

2

10

8

10

8

10

7

10

3

Institution wise distribution

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Wind Power Generation

The top keyword term Wind Power with

(5%) publications, Wind Turbines with

Keywords term used in WPG

Publications %

10.98

4.56

3.34

2.98

2.16

Eth

nik

o M

ets

ovi

o …

Un

ive

rsit

y o

f th

e R

yu

ky

us

Da

ne

shg

ah

e A

zad

Esl

am

i

Un

ive

rsit

y o

f T

ok

yo

Un

ive

rsit

at

Po

lite

cnic

a d

e …

10

3

10

1

10

0

98

97

Publications

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6 Electric generators 1989 1.71

7 Wind power generation 1962 1.69

8 Wind farm 1751 1.50

9 Electric power transmission networks 1720 1.48

10 Computer simulation 1692 1.45

11 Solar energy 1657 1.42

12 Asynchronous generators 1630 1.40

13 Wind energy 1630 1.40

14 Renewable energy resources 1620 1.39

15 Renewable energies 1556 1.34

16 Optimization 1443 1.24

17 Electricity generation 1333 1.14

18 Distributed power generation 1273 1.09

19 Electric power systems 1272 1.09

20 Wind turbine 1245 1.07

21 Wind generation 1215 1.04

22 Renewable resource 1191 1.02

23 Wind speed 1165 1.00

24 Energy storage 1004 0.86

25 Renewable energy 990 0.85

Figure 9: Keyword wise Distribution

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5.9. Language wise distribution

Among the languages in Wind Power Generation (WPG) publications, English topped with 18684 (90%)

publications followed by Chinese with 1438 (7%), German 218 (1%), Japanese 178 (0.86%) and so on.

(Table 9 and Figure 9 shows that languages distribution).

Table 10: Language wise distribution

Sl. No. Language Publications %

1 English 18684 89.83

2 Chinese 1438 6.91

3 German 218 1.05

4 Japanese 178 0.86

5 Korean 59 0.28

6 Polish 46 0.22

7 French 41 0.20

8 Spanish 29 0.14

9 Russian 23 0.11

10 Portuguese 22 0.11

11 Italian 11 0.05

12 Czech 7 0.03

13 Turkish 7 0.03

0

2000

4000

6000

8000

10000

12000

14000

Keywords distribution

Publications


14

15

16

17

18

19

20

21

22

23

24

25

26

27

Total

6. Conclusion

This paper has highlighted quantitatively the contributions made by the

Research Literature, as reflected in

18684

14

38

21

8

17

8

59

46

En

gli

sh

Ch

ine

se

Ge

rma

n

Jap

an

ese

Ko

rea

n

Po

lish


Volume 1 Issue

14 Dutch 6 0.03

15 Croatian 4 0.02

16 Finnish 4 0.02

17 Slovene 3 0.01

18 Serbian 2 0.01

19 Afrikaans 1 0.00

20 Bulgarian 1 0.00

21 Estonian 1 0.00

22

Irish

gaelic 1 0.00

23 Lithuanian 1 0.00

24 Norwegian 1 0.00

25 Persian 1 0.00

26 Slovak 1 0.00

27 Others 9 0.04

Total 20799 100.00

Figure 10: Language wise distribution

This paper has highlighted quantitatively the contributions made by the Wind Power

, as reflected in Scopus database. During 35 years period the China is lead in Wind

46

41

29

23

22

11

7 7 6 4 4 3 2 1 1 1 1 1 1

Po

lish

Fre

nch

Sp

an

ish

Ru

ssia

n

Po

rtu

g…

Ita

lia

n

Cze

ch

Tu

rkis

h

Du

tch

Cro

ati

an

Fin

nis

h

Slo

ven

e

Se

rbia

n

Afr

ika

an

s

Bu

lga

ria

n

Est

on

ian

Iris

h …

Lith

ua

n…

No

rwe

…

Language wise distributionPublications

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Power Generation (WPG)

the China is lead in Wind

1 1 1 9

No

rwe

…

Pe

rsia

n

Slo

vak

Oth

ers

Publications

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research publications and ranked 1st with 18% publications followed by USA 16% and India ranked 5th

with 5%. Source wise analysis shows that, the highest numbers of publications were in Renewable Energy

6%), Energy Policy 359 3%, IEEE Power and Energy Society General Meeting 3%.This analysis

classifies papers it indexes Engineering 38%, Energy 34%, Computer Science 7% with 27 various Subject

Areas. Among the languages, English topped with 90% publications followed by Chinese with 7%),

German 1%, Japanese 0.86%) and so on. In the Year wise analysis showed that Wind Power Generation

papers gradually increased with an average of 594 records per year in particular after the year 2007 get

the momentum in this field and topped with 2706 papers in the year 2012 and the lowest just 42 in the

year 1989. The trend shows that Wind Power Generation (WPG) publications have gradually increased.

7. References

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Research: A Study. International Journal of Library and Information Studies. 4(3), 65-75.

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Scopus: A Scientometric analysis. International journal of Digital Library Services. 4(4), 146-

161.

3. Muthamilarasi, R., Chellappandi, P., and Martin, A.C. (2013). Scientometric Analysis of Allergy

Research Literature. IALA Journal, 1(2), 52-64.

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1999-2012: A Scientometric Study. IALA Journal, 1(2), 56-55.

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Knowledge Management. International Journal of Advanced Library and Information

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8. Kavitha, M & Arumugam, J.(2011).Scientometric analysis of Indian contribution to

mathematical research, International Conference on Trends in Knowledge and Information

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9. Jayashankar, R., Babu, B. R., and Rajendran, P. (2011). Research Output of CSIR-Central Electro

Chemical Research Institute (CECRI): a study. Annals of Library and Information Studies, 58,

301-306. .

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Ecology in India: A Bibliometric Study. Library Philosophy and Practice .Paper 359.

11. Anurada, D., & et. al. (2009). Brazilian computer science research: Gender and regional

distribution. Scientometrics, 79 (3), 651-665.

12. Arunachalam, S., (2001).Mathematical research in India today: what does the literature reveal?.

Scientometrics, 52(2) 235-259.

13. Dutt, B., Garg, K.C., & Bali, A. (2003). Scientometrics of the international journal

Scientometrics. Scientometrics, 56(1), 81-93.

14. Garfield, E. (2007). From The Science of Science to Scientometrics: Visualizing the history of

science with HistCite software. Presented at 11th ISSI International Conference, Madrid.

15. Hood, W.W. & Wilson, C. (2001). The literature of Bibliometric, Scientometrics, and

Informetrics. Scientometrics, 52 (2), 291–314.

16. Van Raan, A. F. J. (1997). Scientometrics: State-of-the-art. Scientometrics, 38, 205–218.

17. Wind power. (n.d.). Retrieved May 29, 2015, from http://en.wikipedia.org/wiki/Wind_power

18. Wind power in India. (n.d.). Retrieved May 29, 2015, from

http://en.wikipedia.org/wiki/Wind_power_in_India

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19. Wind Energy Basics. (n.d.). Retrieved May 29, 2015, from http://windeis.anl.gov/guide/basics/

20. Wind Power in Tamilnadu. (n.d.). Retrieved May 30, 2015, from

http://en.wikipedia.org/wiki/Wind_power_in_India#Tamil_Nadu_.287.2C253_MW.29

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