Claude Lefèvre
- Public Health, Environmental and Occupational Health top 10%
- Modeling and Simulation top 1%
- Mathematical Physics top 5%
- Statistics and Probability top 2%
- Artificial Intelligence top 10%
- Co-authors
- Philippe PicardRichard J. KryscioSergey UtevC. DavidMarie‐Pierre MaliceJ.B. NagyCorinne Vander WauvenAdams Tidjani
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (26 papers)COVID-19 epidemiological studies (24 papers)Stochastic processes and statistical mechanics (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaPolymerBiometrika
- Partner nations
- BelgiumFranceUnited States
In The Last Decade
Claude Lefèvre
59 papers receiving 672 citations
Peers
Comparison fields: 5 of 96
- Public Health, Environmental and Occupational Health 246
- Modeling and Simulation 245
- Mathematical Physics 230
- Statistics and Probability 158
- Artificial Intelligence 126
Countries citing papers authored by Claude Lefèvre
This map shows the geographic impact of Claude Lefèvre'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 Claude Lefèvre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claude Lefèvre more than expected).
Fields of papers citing papers by Claude Lefèvre
This network shows the impact of papers produced by Claude Lefèvre. 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 Claude Lefèvre. The network helps show where Claude Lefèvre may publish in the future.
Co-authorship network of co-authors of Claude Lefèvre
This figure shows the co-authorship network connecting the top 25 collaborators of Claude Lefèvre. A scholar is included among the top collaborators of Claude Lefèvre 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 Claude Lefèvre. Claude Lefèvre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | LHC: the guide (German version) | 1 |
| 8 | 8 | |
| 9 | 11 | |
| 10 | 14 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 5 | |
| 14 | 11 | |
| 15 | 13 | |
| 16 | 12 | |
| 17 | 3 | |
| 18 | 73 | |
| 19 | 17 | |
| 20 | 5 |
About Claude Lefèvre
Claude Lefèvre is a scholar working on Modeling and Simulation, Mathematical Physics and Statistics and Probability, having authored 62 papers that have together received 700 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (26 papers), COVID-19 epidemiological studies (24 papers) and Stochastic processes and statistical mechanics (20 papers). The work is most often cited by research in Modeling and Simulation (245 citations), Mathematical Physics (230 citations) and Statistics and Probability (158 citations). Claude Lefèvre has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Philippe Picard, Richard J. Kryscio, Sergey Utev, C. David, Marie‐Pierre Malice, J.B. Nagy, Corinne Vander Wauven, Adams Tidjani, Prakash Narayan and Marc Hallin. Their work appears in journals such as SHILAP Revista de lepidopterología, Polymer and Biometrika.
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.