Marc Plantevit

1.1k total citations
38 papers, 422 citations indexed

About

Marc Plantevit is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Marc Plantevit has authored 38 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Information Systems, 14 papers in Signal Processing and 12 papers in Artificial Intelligence. Recurrent topics in Marc Plantevit's work include Data Mining Algorithms and Applications (20 papers), Data Management and Algorithms (13 papers) and Rough Sets and Fuzzy Logic (9 papers). Marc Plantevit is often cited by papers focused on Data Mining Algorithms and Applications (20 papers), Data Management and Algorithms (13 papers) and Rough Sets and Fuzzy Logic (9 papers). Marc Plantevit collaborates with scholars based in France, Belgium and Algeria. Marc Plantevit's co-authors include Céline Robardet, Jean‐François Boulicaut, Anne Laurent, Maguelonne Teisseire, Bruno Crémilleux, Chedy Raïssi, Mehdi Kaytoue, Arnaud Soulet, Dominique Laurent and Moustafa Bensafi and has published in prestigious journals such as Applied Energy, Artificial Intelligence and PLoS Computational Biology.

In The Last Decade

Marc Plantevit

33 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Plantevit France 10 145 115 110 78 63 38 422
Hyun Ah Song United States 9 122 0.8× 67 0.6× 225 2.0× 30 0.4× 17 0.3× 16 441
Mariacristina Gallo Italy 9 77 0.5× 102 0.9× 158 1.4× 33 0.4× 22 0.3× 23 342
Waqar Ali Pakistan 9 94 0.6× 59 0.5× 222 2.0× 35 0.4× 11 0.2× 26 422
Nesar Ahmad India 12 125 0.9× 33 0.3× 264 2.4× 58 0.7× 17 0.3× 48 588
Rodica Potolea Romania 9 90 0.6× 42 0.4× 191 1.7× 30 0.4× 14 0.2× 91 332
Rune Gustavsson Sweden 10 123 0.8× 98 0.9× 122 1.1× 20 0.3× 14 0.2× 58 341
Yinan Shao China 8 107 0.7× 36 0.3× 262 2.4× 39 0.5× 48 0.8× 11 429
Changjie Tang China 11 110 0.8× 37 0.3× 239 2.2× 93 1.2× 52 0.8× 80 445
Jiuyang Tang China 13 88 0.6× 135 1.2× 440 4.0× 28 0.4× 11 0.2× 74 702

Countries citing papers authored by Marc Plantevit

Since Specialization
Citations

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

Fields of papers citing papers by Marc Plantevit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Plantevit

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

All Works

20 of 20 papers shown
1.
Plantevit, Marc, et al.. (2023). Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets. arXiv (Cornell University).
2.
Guns, Tias, et al.. (2023). Electricity Price Forecasting based on Order Books: a differentiable optimization approach. SPIRE - Sciences Po Institutional REpository. 1–10. 2 indexed citations
3.
Plantevit, Marc, et al.. (2022). Using Subgroup Discovery to Relate Odor Pleasantness and Intensity to Peripheral Nervous System Reactions. IEEE Transactions on Affective Computing. 14(3). 2005–2019. 3 indexed citations
4.
Plantevit, Marc, et al.. (2022). Electricity price forecasting on the day-ahead market using machine learning. Applied Energy. 313. 118752–118752. 126 indexed citations
5.
Duffner, Stefan, et al.. (2022). In pursuit of the hidden features of GNN’s internal representations. Data & Knowledge Engineering. 142. 102097–102097.
6.
Rouby, Catherine, et al.. (2021). Explicit and implicit measures of emotions: Data-science might help to account for data complexity and heterogeneity. Food Quality and Preference. 92. 104181–104181. 3 indexed citations
7.
Plantevit, Marc, et al.. (2021). Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. arXiv (Cornell University). 2 indexed citations
8.
Fournel, Arnaud, Caroline Bushdid, Jérôme Golebiowski, et al.. (2019). Chemical features mining provides new descriptive structure-odor relationships. PLoS Computational Biology. 15(4). e1006945–e1006945. 36 indexed citations
9.
Kaytoue, Mehdi, et al.. (2017). Exceptional contextual subgraph mining. Machine Learning. 106(8). 1171–1211. 18 indexed citations
10.
Boizumault, Patrice, Alban Lepailleur, Samir Loudni, et al.. (2015). Skypattern mining: From pattern condensed representations to dynamic constraint satisfaction problems. Artificial Intelligence. 244. 48–69. 9 indexed citations
11.
Gaillard, L., Stéphanie Giroux–Julien, Marc Plantevit, et al.. (2015). Data-driven Performance Evaluation of Ventilated Photovoltaic Double-skin Facades in the Built Environment. Energy Procedia. 78. 447–452. 7 indexed citations
12.
Cellier, Peggy, Thierry Charnois, Marc Plantevit, et al.. (2015). Sequential pattern mining for discovering gene interactions and their contextual information from biomedical texts. Journal of Biomedical Semantics. 6(1). 27–27. 9 indexed citations
13.
Kaytoue, Mehdi, et al.. (2015). What effects topological changes in dynamic graphs?. Social Network Analysis and Mining. 5(1).
14.
Orman, Günce Keziban, Vincent Labatut, Marc Plantevit, & Jean‐François Boulicaut. (2014). A method for characterizing communities in dynamic attributed complex networks. arXiv (Cornell University). 481–484. 9 indexed citations
15.
Rigotti, Christophe, et al.. (2013). Finding maximal homogeneous clique sets. Knowledge and Information Systems. 39(3). 579–608. 5 indexed citations
16.
Soulet, Arnaud, Chedy Raïssi, Marc Plantevit, & Bruno Crémilleux. (2011). Mining Dominant Patterns in the Sky. 655–664. 31 indexed citations
17.
Plantevit, Marc, Thierry Charnois, Jǐŕı Kléma, Christophe Rigotti, & Bruno Crémilleux. (2009). Combining sequence and itemset mining to discover named entities in biomedical texts: a new type of pattern. International Journal of Data Mining Modelling and Management. 1(2). 119–119. 8 indexed citations
18.
Plantevit, Marc, Anne Laurent, & Maguelonne Teisseire. (2006). Mining CLosed Multidimensional Sequential Patterns. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
19.
Plantevit, Marc, Anne Laurent, & Maguelonne Teisseire. (2006). HYPE : Prise en compte des hiérarchies lors de l'extraction de motifs séquentiels multidimensionnels. HAL (Le Centre pour la Communication Scientifique Directe). 155–174. 1 indexed citations
20.
Plantevit, Marc, Anne Laurent, & Maguelonne Teisseire. (2006). HYPE. 19–26. 11 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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