François Théberge

87 total papers · 498 total citations
28 papers, 190 citations indexed

About

François Théberge is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, François Théberge has authored 28 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistical and Nonlinear Physics, 9 papers in Artificial Intelligence and 8 papers in Computer Networks and Communications. Recurrent topics in François Théberge's work include Complex Network Analysis Techniques (14 papers), Advanced Queuing Theory Analysis (8 papers) and Opinion Dynamics and Social Influence (6 papers). François Théberge is often cited by papers focused on Complex Network Analysis Techniques (14 papers), Advanced Queuing Theory Analysis (8 papers) and Opinion Dynamics and Social Influence (6 papers). François Théberge collaborates with scholars based in Canada, Poland and France. François Théberge's co-authors include Paweł Prałat, Bogumił Kamiński, Ravi R. Mazumdar, Przemysław Szufel, K. Zeger, C. Freiling, Douglas S. Jungreis, Alain Simonian, J.W. Roberts and Stan Matwin and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Information Theory.

In The Last Decade

François Théberge

21 papers receiving 182 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
François Théberge	113	78	52	33	25	28	190
Krzysztof Juszczyszyn	121 1.1×	78 1.0×	63 1.2×	36 1.1×	6 0.2×	34	231
Matthew J. Rattigan	161 1.4×	138 1.8×	81 1.6×	24 0.7×	16 0.6×	15	261
Liutong Xu	130 1.2×	118 1.5×	63 1.2×	21 0.6×	24 1.0×	29	263
Arlei Silva	134 1.2×	90 1.2×	41 0.8×	14 0.4×	14 0.6×	23	221
Soheila Molaei	79 0.7×	121 1.6×	28 0.5×	11 0.3×	6 0.2×	19	226
Xinyu Que	52 0.5×	75 1.0×	172 3.3×	14 0.4×	11 0.4×	17	276
Anand Louis	64 0.6×	97 1.2×	24 0.5×	28 0.8×	66 2.6×	16	197
Lakshmanan Kuppusamy	53 0.5×	54 0.7×	47 0.9×	70 2.1×	28 1.1×	35	170
Prateek Yadav	46 0.4×	119 1.5×	34 0.7×	23 0.7×	12 0.5×	25	216
Yao Zhang	76 0.7×	150 1.9×	28 0.5×	19 0.6×	4 0.2×	36	234

Countries citing papers authored by François Théberge

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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