François Théberge
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence
- Computer Networks and Communications
- Molecular Biology
- Computational Theory and Mathematics
- Co-authors
- Paweł PrałatBogumił KamińskiRavi R. MazumdarPrzemysław SzufelC. FreilingK. ZegerDouglas S. JungreisAlain Simonian
- Topics
- Complex Network Analysis Techniques (14 papers)Advanced Queuing Theory Analysis (8 papers)Opinion Dynamics and Social Influence (6 papers)
- Cited by
- Statistical and Nonlinear PhysicsArtificial IntelligenceComputer Networks and Communications
- Journals
- PLoS ONEIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Information Theory
- Partner nations
- CanadaPolandUnited Kingdom
In The Last Decade
François Théberge
21 papers receiving 184 citations
Peers
Comparison fields: 5 of 43
- Statistical and Nonlinear Physics 113
- Artificial Intelligence 79
- Computer Networks and Communications 53
- Molecular Biology 34
- Computational Theory and Mathematics 26
Countries citing papers authored by François Théberge
This map shows the geographic impact of François Théberge'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 François Théberge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Théberge more than expected).
Fields of papers citing papers by François Théberge
This network shows the impact of papers produced by François Théberge. 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 François Théberge. The network helps show where François Théberge may publish in the future.
Co-authorship network of co-authors of François Théberge
This figure shows the co-authorship network connecting the top 25 collaborators of François Théberge. A scholar is included among the top collaborators of François Théberge 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 François Théberge. François Théberge 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 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | 12 | |
| 10 | 20 | |
| 11 | 17 | |
| 12 | 41 | |
| 13 | 9 | |
| 14 | 0 | |
| 15 | 5 | |
| 16 | 0 | |
| 17 | Extending the Scope of Travel Surveys using Differential GPS | 2 |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 9 |
About François Théberge
François Théberge is a scholar working on Statistical and Nonlinear Physics, Management Information Systems and Transportation, having authored 28 papers that have together received 192 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (14 papers), Advanced Queuing Theory Analysis (8 papers) and Opinion Dynamics and Social Influence (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (113 citations), Artificial Intelligence (79 citations) and Computer Networks and Communications (53 citations). François Théberge has collaborated with scholars based in Canada, Poland and United Kingdom. Frequent co-authors include Paweł Prałat, Bogumił Kamiński, Ravi R. Mazumdar, Przemysław Szufel, C. Freiling, K. Zeger, Douglas S. Jungreis, Alain Simonian, J.W. Roberts and Amílcar Soares. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Information Theory.
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.