Leo Egghe
About
In The Last Decade
Leo Egghe
217 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 209
- Statistics, Probability and Uncertainty 3.2k
- Information Systems 1.3k
- Statistical and Nonlinear Physics 1.0k
- Artificial Intelligence 854
- Economics and Econometrics 824
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-authorship network of co-authors of Leo Egghe
This figure shows the co-authorship network connecting the top 25 collaborators of Leo Egghe. A scholar is included among the top collaborators of Leo Egghe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leo Egghe. Leo Egghe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | A general theory of minimal increments for Hirsch-type indices and applications to the mathematical characterization of Kosmulski-indices | 0 |
| 6 | Mathematical characterizations of the Wu- and Hirsch-indices using two types of minimal increments. | 2 |
| 7 | Benford's law is a simple consequence of Zipf's law | 3 |
| 8 | Theoretical evidence for empirical findings of A. Pulgarin on Lotka’s law | 4 |
| 9 | How to improve the h-index | 2 |
| 10 | Qualitative analysis of the recall-precision relationship in information retrieval | 2 |
| 11 | Distributions of the h-index and the g-index | 5 |
| 12 | 97 | |
| 13 | Journal diffusion factors and their mathematical relations with the number of citations and with the impact factor | 3 |
| 14 | Elements of concentration theory | 1 |
| 15 | A general framework for relative impact indicators | 36 |
| 16 | 20 | |
| 17 | 1 | |
| 18 | Exact Probabilistic and Mathematical Proofs of the Relation between the Mean Number of Items per Source in the Bibliography and the Generalized 80/20-Rule. | 2 |
| 19 | Informetrics 89/90. Proceedings of the second international Conference on Bibliometrics, Scientometrics and Informetrics London | 1 |
| 20 | Informetrics 89/90 : selection of papers submitted for the second International Conference on Bibliometrics, Scientometrics and Informetrics, London, Ontario, Canada, 5-7 July 1989 | 9 |
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.