Benjamin Négrevergne

480 total citations
8 papers, 143 citations indexed

About

Benjamin Négrevergne is a scholar working on Information Systems, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Benjamin Négrevergne has authored 8 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 4 papers in Artificial Intelligence and 4 papers in Computational Theory and Mathematics. Recurrent topics in Benjamin Négrevergne's work include Rough Sets and Fuzzy Logic (4 papers), Data Mining Algorithms and Applications (4 papers) and Adversarial Robustness in Machine Learning (2 papers). Benjamin Négrevergne is often cited by papers focused on Rough Sets and Fuzzy Logic (4 papers), Data Mining Algorithms and Applications (4 papers) and Adversarial Robustness in Machine Learning (2 papers). Benjamin Négrevergne collaborates with scholars based in France and Belgium. Benjamin Négrevergne's co-authors include Florian Yger, Alexandre Termier, Marie-Christine Rousset, Jean‐François Méhaut, Tias Guns, Anton Dries, Siegfried Nijssen, Yann Chevaleyre, Jamal Atif and Sihem Amer-Yahia and has published in prestigious journals such as Data Mining and Knowledge Discovery, Knowledge and Information Systems and arXiv (Cornell University).

In The Last Decade

Benjamin Négrevergne

8 papers receiving 137 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Négrevergne France 6 58 43 40 39 37 8 143
Namita Tiwari India 9 71 1.2× 98 2.3× 29 0.7× 103 2.6× 8 0.2× 44 233
Martin Grůber Czechia 7 17 0.3× 42 1.0× 30 0.8× 34 0.9× 6 0.2× 27 149
Nisha Srinivas United States 9 78 1.3× 49 1.1× 42 1.1× 124 3.2× 8 0.2× 12 216
Yoan J. Pinzón Colombia 7 20 0.3× 119 2.8× 20 0.5× 34 0.9× 7 0.2× 20 150
Francisco Fernández de Vega Spain 8 17 0.3× 91 2.1× 25 0.6× 29 0.7× 6 0.2× 25 149
Hadj Ahmed Bouarara Algeria 8 58 1.0× 120 2.8× 18 0.5× 23 0.6× 5 0.1× 29 179
Corin Gurr United Kingdom 5 48 0.8× 80 1.9× 17 0.4× 61 1.6× 5 0.1× 12 143
Zeki Bozkuş Türkiye 10 49 0.8× 44 1.0× 19 0.5× 11 0.3× 29 0.8× 24 251
Evgenios M. Kornaropoulos United States 7 10 0.2× 105 2.4× 32 0.8× 43 1.1× 8 0.2× 13 213
Paul Komarek United States 4 26 0.4× 78 1.8× 12 0.3× 26 0.7× 8 0.2× 6 115

Countries citing papers authored by Benjamin Négrevergne

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Négrevergne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Négrevergne

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

All Works

8 of 8 papers shown
1.
Négrevergne, Benjamin, et al.. (2024). Exploring Precision and Recall to assess the quality and diversity of LLMs. 11418–11441. 6 indexed citations
2.
Négrevergne, Benjamin, et al.. (2021). On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory. Proceedings of the AAAI Conference on Artificial Intelligence. 35(8). 6661–6669. 1 indexed citations
3.
Négrevergne, Benjamin, et al.. (2020). On Lipschitz Regularization of Convolutional Layers using Toeplitz\n Matrix Theory. arXiv (Cornell University). 10 indexed citations
4.
Négrevergne, Benjamin, et al.. (2017). Recognizing Art Style Automatically in Painting with Deep Learning. Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine). 327–342. 58 indexed citations
5.
Guns, Tias, et al.. (2016). On declarative modeling of structured pattern mining. Lirias (KU Leuven). 1 indexed citations
6.
Termier, Alexandre, et al.. (2014). PGLCM: efficient parallel mining of closed frequent gradual itemsets. Knowledge and Information Systems. 43(3). 497–527. 14 indexed citations
7.
Négrevergne, Benjamin, Anton Dries, Tias Guns, & Siegfried Nijssen. (2013). Dominance Programming for Itemset Mining. Lirias (KU Leuven). 557–566. 17 indexed citations
8.
Négrevergne, Benjamin, Alexandre Termier, Marie-Christine Rousset, & Jean‐François Méhaut. (2013). Para Miner: a generic pattern mining algorithm for multi-core architectures. Data Mining and Knowledge Discovery. 28(3). 593–633. 36 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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