Jérémy Besson

873 total citations
11 papers, 179 citations indexed

About

Jérémy Besson is a scholar working on Information Systems, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Jérémy Besson has authored 11 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 4 papers in Computer Networks and Communications and 4 papers in Computational Theory and Mathematics. Recurrent topics in Jérémy Besson's work include Data Mining Algorithms and Applications (5 papers), Rough Sets and Fuzzy Logic (4 papers) and Gene expression and cancer classification (3 papers). Jérémy Besson is often cited by papers focused on Data Mining Algorithms and Applications (5 papers), Rough Sets and Fuzzy Logic (4 papers) and Gene expression and cancer classification (3 papers). Jérémy Besson collaborates with scholars based in France, Lithuania and Bulgaria. Jérémy Besson's co-authors include Jean‐François Boulicaut, Céline Robardet, Sophie Rome, Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Mohammed J. Zaki, Ruggero G. Pensa, Marc Laburthe and Matthieu Rousset and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gut and BMC Bioinformatics.

In The Last Decade

Jérémy Besson

10 papers receiving 167 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jérémy Besson France	6	98	85	60	52	46	11	179
Maria A. Tsiarli United States	5	33 0.3×	41 0.5×	96 1.6×	34 0.7×	56 1.2×	7	274
Arno Siebes Netherlands	7	39 0.4×	24 0.3×	68 1.1×	41 0.8×	25 0.5×	37	148
Baptiste Jeudy France	4	105 1.1×	58 0.7×	43 0.7×	33 0.6×	78 1.7×	7	160
Gilles Bisson France	9	86 0.9×	26 0.3×	214 3.6×	31 0.6×	100 2.2×	15	311
Pierre‐Cyrille Héam France	7	44 0.4×	65 0.8×	67 1.1×	12 0.2×	17 0.4×	37	139
Manuel Enciso Spain	10	116 1.2×	211 2.5×	132 2.2×	88 1.7×	22 0.5×	47	307
Sébastien Ferré France	9	73 0.7×	80 0.9×	177 3.0×	45 0.9×	48 1.0×	31	245
Noureddine Mouaddib France	6	59 0.6×	44 0.5×	98 1.6×	113 2.2×	11 0.2×	29	183
Brigitte Boden Germany	7	69 0.7×	22 0.3×	134 2.2×	67 1.3×	18 0.4×	11	247
Henry Tan Australia	9	81 0.8×	32 0.4×	99 1.6×	52 1.0×	8 0.2×	17	166

Countries citing papers authored by Jérémy Besson

Since Specialization

Citations

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

Fields of papers citing papers by Jérémy Besson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérémy Besson

This figure shows the co-authorship network connecting the top 25 collaborators of Jérémy Besson. A scholar is included among the top collaborators of Jérémy Besson 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 Jérémy Besson. Jérémy Besson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Besson, Jérémy, et al.. (2015). Signa^TM – Towards Electronic Document Cross-Border Interoperability. SHILAP Revista de lepidopterología. 17(1). 46–52. 1 indexed citations

Besson, Jérémy, et al.. (2012). Closed and noise-tolerant patterns in n-ary relations. Data Mining and Knowledge Discovery. 26(3). 574–619. 18 indexed citations

Besson, Jérémy & Albertas Čaplinskas. (2010). QOS-Aware Composition of Enterprise System‘s Components: Constraint Logic Programming Approach. Informatica. 21(4). 487–504. 2 indexed citations

Besson, Jérémy & Albertas Čaplinskas. (2009). Conceptual analysis of the notion of quality of services. SHILAP Revista de lepidopterología. 50.

Besson, Jérémy, et al.. (2009). Closed patterns meet n -ary relations. ACM Transactions on Knowledge Discovery from Data. 3(1). 1–36. 57 indexed citations

Schicklin, Stéphane, Céline Keime, Céline Robardet, et al.. (2008). SQUAT: A web tool to mine human, murine and avian SAGE data. BMC Bioinformatics. 9(1). 378–378. 5 indexed citations

Chaoji, Vineet, Mohammad Al Hasan, Saeed Salem, Jérémy Besson, & Mohammed J. Zaki. (2008). ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Patterns. Statistical Analysis and Data Mining The ASA Data Science Journal. 1(2). 67–84. 20 indexed citations

Pensa, Ruggero G., et al.. (2007). Clustering Formal Concepts to Discover Biologically Relevant Knowledge from Gene Expression Data. In Silico Biology. 7(4-5). 467–483. 17 indexed citations

Besson, Jérémy, Céline Robardet, Jean‐François Boulicaut, & Sophie Rome. (2005). Constraint-based concept mining and its application to microarray data analysis. Intelligent Data Analysis. 9(1). 59–82. 45 indexed citations

10.

Besson, Jérémy, et al.. (2004). Mining alpha/beta concepts as relevant bi-sets from transactional data. 1 indexed citations

11.

Laburthe, Marc, Christophe Dupont, Jérémy Besson, Matthieu Rousset, & G Rosselin. (1980). A new bioassay of VIP: results in watery diarrhoea syndrome.. Gut. 21(7). 619–623. 13 indexed citations

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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