Christophe Rigotti

1.2k total citations
27 papers, 329 citations indexed

About

Christophe Rigotti is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Christophe Rigotti has authored 27 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 9 papers in Signal Processing and 9 papers in Artificial Intelligence. Recurrent topics in Christophe Rigotti's work include Data Mining Algorithms and Applications (8 papers), Rough Sets and Fuzzy Logic (5 papers) and Data Management and Algorithms (5 papers). Christophe Rigotti is often cited by papers focused on Data Mining Algorithms and Applications (8 papers), Rough Sets and Fuzzy Logic (5 papers) and Data Management and Algorithms (5 papers). Christophe Rigotti collaborates with scholars based in France, Egypt and Spain. Christophe Rigotti's co-authors include Artur Bykowski, Jean‐François Boulicaut, Slim Abdennadher, Emmanuël Trouvé, Cécile Lasserre, Philippe Bolon, Andreea Julea, Marie‐Pierre Doin, Marc Plantevit and Thierry Charnois and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Christophe Rigotti

25 papers receiving 304 citations

Peers

Christophe Rigotti

CTM

CNC

Esther Galbrun Finland

James A. Shine United States

Jesús M. Almendros-Jiménez Spain

Y. Dai China

Xiaoxuan Wang China

Chunyi Shi China

Rémi Gilleron France

M. Li Canada

H. A. James New Zealand

Esther Galbrun Finland

Christophe Rigotti

78 ×0.4

39 ×0.2

CTM

92 ×0.8

69 ×0.6

39 ×0.8

CNC

Citations per year, relative to Christophe Rigotti Christophe Rigotti (= 1×) peers Esther Galbrun

Countries citing papers authored by Christophe Rigotti

Since Specialization

Citations

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

Fields of papers citing papers by Christophe Rigotti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christophe Rigotti

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

All Works

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20 of 20 papers shown

Pensa, Ruggero G., et al.. (2025). Explaining Random Forest and XGBoost with Shallow Decision Trees by Co-clustering Feature Importance. Machine Learning. 114(12). 1 indexed citations

Crombach, Anton, et al.. (2024). Effective Pruning for Top-k Feature Search on the Basis of SHAP Values. IEEE Access. 12. 163079–163092. 2 indexed citations

Bertoglio, J. P., Christophe Rigotti, François Gueyffier, et al.. (2022). Predicted Impacts of Booster, Immunity Decline, Vaccination Strategies, and Non-Pharmaceutical Interventions on COVID-19 Outcomes in France. Vaccines. 10(12). 2033–2033.

Rigotti, Christophe, et al.. (2018). Ranking evolution maps for Satellite Image Time Series exploration: application to crustal deformation and environmental monitoring. Data Mining and Knowledge Discovery. 33(1). 131–167. 5 indexed citations

Rigotti, Christophe, et al.. (2018). A Pattern-Based Method For Handling Confidence Measures While Mining Satellite Displacement Field Time Series: Application to Greenland Ice Sheet and Alpine Glaciers. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(11). 4390–4402. 1 indexed citations

Rigotti, Christophe, et al.. (2015). Subspace Clustering Using Evolvable Genome Structure. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations

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

Langlois, Cyril, Thierry Douillard, Hui Yuan, et al.. (2015). Crystal orientation mapping via ion channeling: An alternative to EBSD. Ultramicroscopy. 157. 65–72. 16 indexed citations

Rigotti, Christophe, et al.. (2013). Finding maximal homogeneous clique sets. Knowledge and Information Systems. 39(3). 579–608. 5 indexed citations

10.

Julea, Andreea, Philippe Bolon, Christophe Rigotti, et al.. (2010). Unsupervised Spatiotemporal Mining of Satellite Image Time Series Using Grouped Frequent Sequential Patterns. IEEE Transactions on Geoscience and Remote Sensing. 49(4). 1417–1430. 52 indexed citations

11.

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

12.

Rigotti, Christophe, et al.. (2009). Extracting Signature Motifs from Promoter Sets of Differentially Expressed Genes. In Silico Biology. 9(1-2). S17–S39. 1 indexed citations

13.

Abdennadher, Slim & Christophe Rigotti. (2005). Automatic generation of CHR constraint solvers. Theory and Practice of Logic Programming. 5(4-5). 403–418. 6 indexed citations

14.

Calders, Toon, et al.. (2004). A survey on condensed representations for frequent sets. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 3848. 64–80. 3 indexed citations

15.

Bykowski, Artur & Christophe Rigotti. (2003). DBC: a condensed representation of frequent patterns for efficient mining. Information Systems. 28(8). 949–977. 18 indexed citations

16.

Abdennadher, Slim & Christophe Rigotti. (2002). AUTOMATIC GENERATION OF RULE-BASED SOLVERS FOR INTENTIONALLY DEFINED CONSTRAINTS. International Journal of Artificial Intelligence Tools. 11(2). 283–302. 4 indexed citations

17.

Boulicaut, Jean‐François, Patrick Marcel, & Christophe Rigotti. (2001). Query driven knowledge discovery via OLAP manipulations. 2 indexed citations

18.

Bykowski, Artur & Christophe Rigotti. (2001). A condensed representation to find frequent patterns. 267–273. 57 indexed citations

19.

Abdennadher, Slim & Christophe Rigotti. (2000). Automatic Generation of Propagation Rules for Finite Domains. 2 indexed citations

20.

Boulicaut, Jean‐François, Patrick Marcel, & Christophe Rigotti. (1999). Query driven knowledge discovery in multidimensional data. 87–93. 3 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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