Jean-François Saclé

18 total papers · 532 total citations
14 papers, 323 citations indexed

About

Jean-François Saclé is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics and Computer Networks and Communications. According to data from OpenAlex, Jean-François Saclé has authored 14 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Theory and Mathematics, 6 papers in Discrete Mathematics and Combinatorics and 4 papers in Computer Networks and Communications. Recurrent topics in Jean-François Saclé's work include Graph Labeling and Dimension Problems (8 papers), Limits and Structures in Graph Theory (6 papers) and Advanced Graph Theory Research (6 papers). Jean-François Saclé is often cited by papers focused on Graph Labeling and Dimension Problems (8 papers), Limits and Structures in Graph Theory (6 papers) and Advanced Graph Theory Research (6 papers). Jean-François Saclé collaborates with scholars based in France, Poland and United States. Jean-François Saclé's co-authors include Maryvonne Mahéo, Odile Favaron, Mariusz Woźniak, Evelyne Flandrin, Jakub Przybyło, Hamamache Kheddouci, Hao Li and Peter Mihók and has published in prestigious journals such as Discrete Applied Mathematics, Discrete Mathematics and Journal of Combinatorial Theory Series B.

In The Last Decade

Jean-François Saclé

14 papers receiving 308 citations

Author Peers

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

Author Last Decade Papers Cites
Jean-François Saclé 266 206 102 74 32 14 323
Asma Hamzeh 309 1.2× 316 1.5× 155 1.5× 48 0.6× 16 0.5× 23 351
Hadrien Mélot 192 0.7× 152 0.7× 62 0.6× 66 0.9× 17 0.5× 18 266
Michael Cavers 197 0.7× 163 0.8× 56 0.5× 46 0.6× 82 2.6× 26 297
Jun Yue 238 0.9× 154 0.7× 76 0.7× 40 0.5× 26 0.8× 29 297
Hua Wang 160 0.6× 188 0.9× 44 0.4× 43 0.6× 15 0.5× 24 306
H.B. Walikar 158 0.6× 209 1.0× 80 0.8× 29 0.4× 14 0.4× 26 231
Aleksandra Tepeh 214 0.8× 175 0.8× 79 0.8× 24 0.3× 15 0.5× 36 273
O Suil 288 1.1× 265 1.3× 31 0.3× 122 1.6× 34 1.1× 37 366
María Robbiano 229 0.9× 319 1.5× 145 1.4× 63 0.9× 15 0.5× 37 366
Haiying Shan 207 0.8× 172 0.8× 58 0.6× 29 0.4× 55 1.7× 41 308

Countries citing papers authored by Jean-François Saclé

Since Specialization
Citations

This map shows the geographic impact of Jean-François Saclé'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 Jean-François Saclé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-François Saclé more than expected).

Fields of papers citing papers by Jean-François Saclé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-François Saclé. 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 Jean-François Saclé. The network helps show where Jean-François Saclé may publish in the future.

Co-authorship network of co-authors of Jean-François Saclé

This figure shows the co-authorship network connecting the top 25 collaborators of Jean-François Saclé. A scholar is included among the top collaborators of Jean-François Saclé 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 Jean-François Saclé. Jean-François Saclé 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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