Leo Egghe
Impact in
- Statistics, Probability and Uncertainty top 0.02%
- scientometrics and bibliometrics research
- Meta-analysis and systematic reviews
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
Papers in
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- scientometrics and bibliometrics research 58
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- Complex Network Analysis Techniques 43
- Co-authors
- Ronald Rousseau (63 shared papers)Liming Liang (4 shared papers)Bihui Jin (1 shared paper)I. K. Ravichandra Rao (7 shared papers)Loet Leydesdorff (1 shared paper)Raf Guns (5 shared papers)G. Van Hooydonk (1 shared paper)Ronald W. Rousseau (4 shared papers)
In The Last Decade
Leo Egghe
219 papers receiving 6.0k citations
Leo Egghe's Hit Papers
Peers
Comparison fields: 5 of 203
- Statistics, Probability and Uncertainty 3.1k
- Statistical and Nonlinear Physics 1.0k
- Information Systems 1.3k
- Information Systems and Management 333
- History and Philosophy of Science 199
Countries citing papers authored by Leo Egghe
This map shows the geographic impact of Leo Egghe's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Leo Egghe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leo Egghe more than expected).
Fields of papers citing papers by Leo Egghe
This network shows the impact of papers produced by Leo Egghe. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Leo Egghe. The network helps show where Leo Egghe may publish in the future.
Co-authors
The 18 scholars most cited alongside Leo Egghe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 226 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Theory and practise of the g-index Hit paper breakdown → | 2006 | 1661 |
| 2 | 2007 | 442 | |
| 3 | An improvement of the h-index: the g-index | 2006 | 290 |
| 4 | 2006 | 251 | |
| 5 | 2005 | 232 | |
| 6 | 2010 | 196 | |
| 7 | 2000 | 153 | |
| 8 | 2002 | 137 | |
| 9 | 2009 | 127 | |
| 10 | 2008 | 101 | |
| 11 | 2006 | 97 | |
| 12 | 2007 | 96 | |
| 13 | 1994 | 83 | |
| 14 | Becoming Metric-Wise: A Bibliometric Guide for Researchers | 2018 | 82 |
| 15 | 1992 | 76 | |
| 16 | 1992 | 74 | |
| 17 | 1990 | 67 | |
| 18 | 2005 | 59 | |
| 19 | 2000 | 53 | |
| 20 | 2000 | 49 |
About Leo Egghe
Leo Egghe is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics, Economics and Econometrics, Artificial Intelligence and Information Systems, having authored 226 papers that have together received 6.4k indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (58 papers), Complex Systems and Time Series Analysis (44 papers), Complex Network Analysis Techniques (43 papers), Advanced Text Analysis Techniques (16 papers), Web visibility and informetrics (15 papers), Rough Sets and Fuzzy Logic (8 papers), Multi-Criteria Decision Making (7 papers) and Benford’s Law and Fraud Detection (7 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (3.1k citations), Statistical and Nonlinear Physics (1.0k citations), Information Systems (1.3k citations), Information Systems and Management (333 citations) and History and Philosophy of Science (199 citations). Leo Egghe has collaborated with scholars based in Belgium, China and Germany. Frequent co-authors include Ronald Rousseau, Liming Liang, Bihui Jin, I. K. Ravichandra Rao, Loet Leydesdorff, Raf Guns, G. Van Hooydonk, Ronald W. Rousseau, Christine Michel and Lutz Bornmann. Their work appears in journals such as Scientometrics, Journal of Informetrics, Information Processing & Management, Mathematical and Computer Modelling and Journal of Documentation.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.