Gérard Weisbuch
- Statistical and Nonlinear Physics top 0.2%
- Sociology and Political Science top 1%
- Molecular Biology
- Communication top 2%
- Management Science and Operations Research top 2%
- Co-authors
- Frédéric AmblardGuillaume DeffuantDavid B. NeauAlan S. PerelsonThierry FaureJean‐Pierre NadalDietrich StaufferStefano Battiston
- Topics
- Opinion Dynamics and Social Influence (14 papers)Complex Systems and Time Series Analysis (12 papers)Complex Network Analysis Techniques (9 papers)
- Partner nations
- FranceUnited StatesIsrael
In The Last Decade
Gérard Weisbuch
43 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Statistical and Nonlinear Physics 2.0k
- Sociology and Political Science 1.1k
- Molecular Biology 314
- Communication 303
- Management Science and Operations Research 282
Countries citing papers authored by Gérard Weisbuch
This map shows the geographic impact of Gérard Weisbuch'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 Gérard Weisbuch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gérard Weisbuch more than expected).
Fields of papers citing papers by Gérard Weisbuch
This network shows the impact of papers produced by Gérard Weisbuch. 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 Gérard Weisbuch. The network helps show where Gérard Weisbuch may publish in the future.
Co-authorship network of co-authors of Gérard Weisbuch
This figure shows the co-authorship network connecting the top 25 collaborators of Gérard Weisbuch. A scholar is included among the top collaborators of Gérard Weisbuch 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 Gérard Weisbuch. Gérard Weisbuch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 3 | |
| 3 | Qu'appelle-t-on aujourd'hui les sciences de la complexité ? | 1 |
| 4 | 3 | |
| 5 | 12 | |
| 6 | 10 | |
| 7 | How can extremism prevail? A study based on the relative agreement interaction model | 320 |
| 8 | 19 | |
| 9 | 6 | |
| 10 | 30 | |
| 11 | 352 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 15 | |
| 15 | 19 | |
| 16 | 51 | |
| 17 | 19 | |
| 18 | 9 | |
| 19 | 63 | |
| 20 | 31 |
About Gérard Weisbuch
Gérard Weisbuch is a scholar working on Statistical and Nonlinear Physics, Management Science and Operations Research and Economics and Econometrics, having authored 43 papers that have together received 3.1k indexed citations. Recurring topics across this work include Opinion Dynamics and Social Influence (14 papers), Complex Systems and Time Series Analysis (12 papers) and Complex Network Analysis Techniques (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.0k citations), Communication (303 citations) and Sociology and Political Science (1.1k citations). Gérard Weisbuch has collaborated with scholars based in France, United States and Israel. Frequent co-authors include Frédéric Amblard, Guillaume Deffuant, David B. Neau, Alan S. Perelson, Thierry Faure, Jean‐Pierre Nadal, Dietrich Stauffer, Stefano Battiston, Sorin Solomon and L. de Arcangelis. Their work appears in journals such as Reviews of Modern Physics, Ecological Economics and Journal of Theoretical Biology.
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.