Preface
Acknowledgements
1 Bibliometrics And Scientometrics 1
1.1. Introduction 1
1.2. Bibliometrics in India 3
1.3. Undertaking a bibliometric/scientometric study 6
1.4. Usefulness of Bibliometrics/Scientometrics 7
1.5. Limitations of bibliometrics/scientometrics 8
2 Metric Concepts in Library and
Information Science 15
2.1. Introduction 15
2.2. Librametry 16
2.3. Bibliometrics 17
2.3.1. Classical bibliometrics 18
2.3.2. Modern bibliometrics 19
2.3.3. Descriptive bibliometrics 19
2.3.4. Evaluative bibliometrics 19
2.4. Scientometrics 20
2.5. Informetrics 23
2.6. Webometrics 25
2.7. Cybermetrics 26
2.8. Altmetrics 27
2.9. Important journals in the field of
scientometrics/bibliometrics 30
3 Data Sources for Bibliometrics/
Scientometrics and Journal Evaluation 34
3.1. Introduction 34
3.2. Unique features of Web of Science and Scopus 36
3.3. Bibliographic databases 37
3.3.1. Web of Science 37
3.3.2. Web of Science Core Collection 38
3.3.3. Science Citation Index Expanded (SCIE) 38
3.3.4. Social Science Citation Index (SSCI) 39
3.3.5. Arts & Humanities Citation Index (AHCI) 39
3.3.6. Emerging Sources Citation Index (ESCI) 39
3.3.7. Book Citation Index 40
3.3.8. Conference Proceedings Citation Index 40
3.4. Limitations of Web of Science 41
3.5. Scopus 42
3.6. SciELO – Scientific Electronic Library
Online (SciELO.org) 44
3.7. Google Scholar 45
3.8. Indian Citation Index (ICI) 46
3.9. Academic networks 47
3.10. Journal Citation Reports 49
3.11. SCImago Journal and Country Rank 51
3.12. EIGENFACTOR™ METRICS 52
3.12.1. Eigenfactor™ Score 53
3.12.2. Article influence score 54
3.13. Source Normalized Impact per Paper (SNIP) 54
3.14. Article Level Metrics 55
3.15. Percentile-based indicator – I3 56
4 Bibliometric Mapping of Science 58
4.1. Introduction 58
4.2. What is bibliometric mapping 59
4.3. Methodology 59
4.4. Indicators on which mapping are based 63
4.4.1. Publication Counts 63
4.4.2. Citation Counts 65
4.4.3. Surrogate Measures of Citations 66
4.5. Indicators used for bibliometric mapping 67
4.5.1. Activity Index 67
4.5.2. Relative Specialization Index (RSI) 68
4.5.3. Transformative Activity Index (TAI) 68
4.5.4. Attractivity Index 69
4.5.5. Relational Chart 70
4.5.6. Impact Factor (IF) 71
4.5.7. Normalized Impact Factor (NIF) 72
4.5.8. Normalized Impact per Paper (NIMP) 73
4.5.9. Citation per Paper (CPP) or Mean Citation
Score (MCS) or Mean Observed Citation
Rate (MOCR) 74
4.5.10. Relative Citation Impact (RCI) 74
4.5.11. Papers not cited (PnC) 75
4.5.12. Relative Uncitedness Index (RUI) 75
4.5.12.1. Uncited papers by institutions 76
4.5.13. Relative Citation Rate (RCR) 79
4.5.14. Number of High Quality Papers (NHQ) 80
4.5.15. Proportion of High Quality Papers (PHQ) 80
4.5.16. i10-index 80
4.5.17. h-index 80
4.5.18. Bh-index 83
4.5.19. Mock h-index or p-index 83
4.5.20. g-index 84
4.5.21. Three Dimensional Indicators 84
4.6. Bibliometric mapping based on publication
and citation counts 86
4.6.1. Type of documents used for
communicating research results 87
4.6.2. Growth pattern of publication output 88
4.6.3. Cross national assessment of
research output 89
4.6.4. Attractivity (AAI) profile of different
nations in different sub-specialties 93
4.6.5. Transformative Activity Index (TAI) 94
4.6.6. Mainstream connectivity of
publication output 96
5 Bibliometric Mapping of Productivity
and Impact by Gender 101
5.1. Introduction 101
5.2. Relative productivity and relative position
of women scientists 102
5.3. Activity profile by gender 104
5.4. Impact of research output 106
5.4.1. Distribution of output by publishing
country of journals 106
5.4.2. Distribution of output by range of
Impact Factor and gender 107
5.4.3. Distribution of citations by gender 108
5.5. Summary 111
6 Impact Factor 115
6.1. Introduction 115
6.2. Artifacts that influence impact factor 120
6.3. Conclusion 122
7 Citation Analysis 124
7.1. Introduction 124
7.2. Citation Index 128
7.3. Nature of citations 129
7.3.1. Self citations 130
7.3.2. The role of self-citations 130
7.4. Classification of citations 132
7.5. Reasons for citations 134
7.6. Application of citation analysis 135
7.7. Limitations of citation analysis 138
7.8. Summary 139
8 Pattern of Co-authorship and Collaboration 143
8.1. Introduction 143
8.2. Types of collaboration 145
8.3. Reasons for collaboration 147
8.4. Different measures of collaboration 148
8.4.1. Collaborative Index (CI) 148
8.4.2. Degree of Collaboration (DC) 148
8.4.3. Collaborative Coefficient (CC) 149
8.4.4. Co-authorship Index 150
8.4.5. Domestic Collaborative Index (DCI) 151
8.4.6. International Collaborative Index (ICI) 152
8.4.7. Salton’s Measure for computing
collaborative strength 153
8.5. Steps involved in calculation of various measures 153
8.6. What can be measured with data on
collaboration? 154
8.6.1. Co-authorship and collaborative pattern
according to countries 155
8.6.2. Domestic and international collaboration
profile of different nations 156
8.6.3. Collaboration pattern according to
agencies/institutions 160
8.6.4. Co-authorship pattern according to
Sub-specialties 161
8.6.5. Collaborative profile according to
sub-specialties 161
8.7. Change in the pattern of collaboration over
a period of time 162
9 Techniques of Science Mapping 166
9.1. What is a map of science 166
9.2. Bibliographical coupling 167
9.3. Co-citation network 168
9.3.1. Document co-citation 169
9.3.2. Author co-citation 170
9.3.3. Journal-to-journal citation network maps 170
9.3.4. Co-citation strength 172
9.4. Co-word analysis 173
9.5. Co-classification network 174
9.6. Bibexcel 175
9.7. Biblioshiny 175
9.8. CiteSpace 175
9.9. SciMAT 176
9.10. VOSviewer 176
10 Growth and Obsolescence of Literature 179
10.1. What is Growth 179
10.2. Linear Growth 179
10.3. Annual or year to year growth 181
10.4. Compound Annual Growth Rate (CAGR) 182
10.5. Exponential Growth 183
10.5.1. Example from finance 183
10.5.2. Example of exponential growth from
Library and Information Science 183
10.6. Growth of Scientific Knowledge 184
10.7. Obsolescence 188
10.8. Measures of obsolescence 189
10.9. Diachronous obsolescence 190
10.10. Synchronous obsolescence 191
10.11. Half-life 191
10.11.1. Journal Cited Half Life 192
10.11.2. Journal Citing Half-Life 192
10.12. Uses of obsolescence studies 193
11 Classical Laws of Bibliometrics 195
11.1. Bradford’s Law of Scattering 195
11.2. Validation of the law 197
11.3. Methodology 198
11.4. Validity of Verbal Formulation of the
Bradford’s Law 199
11.5. Application of Graphical Formulation of
the Bradford’s Law 204
11.6. Application of the Leimkuhler’s Model 205
LEIMKUHLER’S MODEL 205
11.7. Application of Bradford’s law of scattering 207
11.7.1. Application to abstracting services 207
11.7.2. Application to procurement and
management of Library 208
11.8. Lotka’s Law of Scientific Productivity 208
11.9. Step by step calculation of values in Lotka’s law 210
11.10. Methodology 211
CALCULATION OF THE CONSTANT C 214
11.11. Kolmogorov-Smirnov (K-S) test 215
11.12. Application of K-S statistical test 216
11.14. Zipf’s Law 219
11.15. Other Laws of Bibliometrics 220
11.15.1. Sengupta Law of Bibliometrics 220
11.15.2. Garfield’s Law of Concentration 220
11.15.3. Price Square Root Law of Scientific
Productivity 220
11.15.4. Success-Breeds-Success Phenomenon 221
Papers Published by the Author
during 1979-2021 224
Bibliography 239