Bruno Bachimont

113 total papers · 840 total citations
43 papers, 325 citations indexed

About

Bruno Bachimont is a scholar working on Computer Networks and Communications, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Bruno Bachimont has authored 43 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 12 papers in Artificial Intelligence and 10 papers in Molecular Biology. Recurrent topics in Bruno Bachimont's work include Cultural Insights and Digital Impacts (13 papers), Biomedical Text Mining and Ontologies (10 papers) and Semantic Web and Ontologies (9 papers). Bruno Bachimont is often cited by papers focused on Cultural Insights and Digital Impacts (13 papers), Biomedical Text Mining and Ontologies (10 papers) and Semantic Web and Ontologies (9 papers). Bruno Bachimont collaborates with scholars based in France, United States and Canada. Bruno Bachimont's co-authors include Pierre Zweigenbaum, Jean Charlet, Jacques Bouaud, Véronique Malaisé, Marie‐Christine Jaulent, Mélanie Dulong de Rosnay, Raphaël Troncy, Marius Fieschi, Françoise Volot and Rémi Ronfard and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Biology and Medicine and Research in Engineering Design.

In The Last Decade

Bruno Bachimont

37 papers receiving 282 citations

Author Peers

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

Author Last Decade Papers Cites
Bruno Bachimont 178 115 75 42 40 43 325
Jean‐Pierre Corriveau 229 1.3× 12 0.1× 71 0.9× 73 1.7× 10 0.3× 47 352
Boontawee Suntisrivaraporn 314 1.8× 169 1.5× 46 0.6× 14 0.3× 10 0.3× 32 363
Adeline Nazarenko 241 1.4× 123 1.1× 10 0.1× 16 0.4× 10 0.3× 19 311
Olivier Galibert 181 1.0× 12 0.1× 39 0.5× 47 1.1× 81 2.0× 48 331
Adrian Brașoveanu 204 1.1× 12 0.1× 9 0.1× 53 1.3× 40 1.0× 44 362
Simon Dobnik 309 1.7× 57 0.5× 10 0.1× 9 0.2× 50 1.3× 32 359
Baw‐Jhiune Liu 112 0.6× 59 0.5× 56 0.7× 19 0.5× 25 0.6× 40 365
Jefrey Lijffijt 138 0.8× 12 0.1× 20 0.3× 21 0.5× 48 1.2× 50 331
Cássia Trojahn dos Santos 296 1.7× 118 1.0× 39 0.5× 9 0.2× 30 0.8× 42 361
Menzo Windhouwer 198 1.1× 27 0.2× 85 1.1× 7 0.2× 26 0.7× 40 273

Countries citing papers authored by Bruno Bachimont

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Bachimont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruno Bachimont. 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 Bruno Bachimont. The network helps show where Bruno Bachimont may publish in the future.

Co-authorship network of co-authors of Bruno Bachimont

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Bachimont. A scholar is included among the top collaborators of Bruno Bachimont 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 Bruno Bachimont. Bruno Bachimont 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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