Leo Egghe

420 citations
4 papers · 328 · h-index 4

Impact in

Papers in

    • Advanced Text Analysis Techniques 1
    • Statistical and Computational Modeling 1
    • Natural Language Processing Techniques 1
    • Topic Modeling 1
    • Authorship Attribution and Profiling 1
    • Imbalanced Data Classification Techniques 1
Journals
Scientometrics (1 paper)Document Server@UHasselt (UHasselt) (1 paper)Journal of the American Society for Information Science and Technology (1 paper)E-LIS Repository (University of Naples Federico II) (1 paper)
Partner nations
Belgium

In The Last Decade

Leo Egghe

4 papers receiving 280 citations

Peers

Leo Egghe
Comparison fields: 5 of 93
  • Statistics, Probability and Uncertainty 116
  • Statistical and Nonlinear Physics 69
  • Information Systems 80
  • Management Science and Operations Research 36
  • Information Systems and Management 20
Replace Fuyuki Yoshikane with:
Fuyuki Yoshikane Japan
I. K. Ravichandra Rao India
Antonis Sidiropoulos Greece
Tamy Chambers United States
Leo Leo United States
R. A. Fairthorne
Sumit Kumar Banshal India
Star X. Zhao China
Dalibor Fiala Czechia
Russell J. Duhon United States
Leo Egghe relative to Fuyuki Yoshikane Japan Fuyuki Yoshikane's profile →
Citations per field
00.5×1.5×
Fuyuki Yoshikane · 1×
Citations per year

Countries citing papers authored by Leo Egghe

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 1 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.

Border = papers with Leo Egghe Line = papers co-authored together Leo Egghe links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Introduction to Informetrics: Quantitative Methods in Library, Documentation and Information Science
1990302
2 200412
3 200311
4
Special issue on informetrics
20053

About Leo Egghe

Leo Egghe is a scholar working on Artificial Intelligence, Infectious Diseases, Organic Chemistry, Surgery and Communication, having authored 4 papers that have together received 328 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (1 paper), Statistical and Computational Modeling (1 paper), Natural Language Processing Techniques (1 paper), Topic Modeling (1 paper), Authorship Attribution and Profiling (1 paper) and Imbalanced Data Classification Techniques (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (116 citations), Statistical and Nonlinear Physics (69 citations), Information Systems (80 citations), Management Science and Operations Research (36 citations) and Information Systems and Management (20 citations). Leo Egghe has collaborated with scholars based in Belgium. Frequent co-authors include Ronald Rousseau. Their work appears in journals such as Scientometrics, Document Server@UHasselt (UHasselt), Journal of the American Society for Information Science and Technology and E-LIS Repository (University of Naples Federico II).

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.

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