Christophe Rigotti
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
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- Rough Sets and Fuzzy Logic
Papers in
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- Data Mining Algorithms and Applications 8
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- Data Management and Algorithms 5
- Time Series Analysis and Forecasting 4
- Co-authors
- Artur Bykowski (3 shared papers)Jean‐François Boulicaut (4 shared papers)Slim Abdennadher (5 shared papers)Philippe Bolon (1 shared paper)Cécile Lasserre (1 shared paper)Emmanuël Trouvé (3 shared papers)Andreea Julea (1 shared paper)Marie‐Pierre Doin (2 shared papers)
In The Last Decade
Christophe Rigotti
25 papers receiving 304 citations
Peers
Comparison fields: 5 of 61
- Signal Processing 121
- Computational Theory and Mathematics 170
- Information Systems 203
- Artificial Intelligence 122
- Media Technology 27
Countries citing papers authored by Christophe Rigotti
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
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-authors
The 25 scholars most cited alongside Christophe Rigotti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 112 | |
| 2 | 2001 | 57 | |
| 3 | 2010 | 52 | |
| 4 | 2003 | 18 | |
| 5 | 2015 | 16 | |
| 6 | 2015 | 9 | |
| 7 | 2009 | 8 | |
| 8 | 2005 | 6 | |
| 9 | 2021 | 6 | |
| 10 | 2004 | 6 | |
| 11 | 2018 | 5 | |
| 12 | 2013 | 5 | |
| 13 | 2002 | 4 | |
| 14 | 2010 | 4 | |
| 15 | A survey on condensed representations for frequent sets | 2004 | 3 |
| 16 | 1999 | 3 | |
| 17 | 2001 | 3 | |
| 18 | Query driven knowledge discovery via OLAP manipulations | 2001 | 2 |
| 19 | Subspace Clustering Using Evolvable Genome Structure | 2015 | 2 |
| 20 | Automatic Generation of Propagation Rules for Finite Domains | 2000 | 2 |
About Christophe Rigotti
Christophe Rigotti is a scholar working on Information Systems, Signal Processing, Artificial Intelligence, Computer Networks and Communications and Molecular Biology, having authored 27 papers that have together received 329 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (8 papers), Data Management and Algorithms (5 papers), Rough Sets and Fuzzy Logic (5 papers), Constraint Satisfaction and Optimization (4 papers), Time Series Analysis and Forecasting (4 papers), Logic, programming, and type systems (3 papers), Model-Driven Software Engineering Techniques (3 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Signal Processing (121 citations), Computational Theory and Mathematics (170 citations), Information Systems (203 citations), Artificial Intelligence (122 citations) and Media Technology (27 citations). Christophe Rigotti has collaborated with scholars based in France, Germany and Egypt. Frequent co-authors include Artur Bykowski, Jean‐François Boulicaut, Slim Abdennadher, Philippe Bolon, Cécile Lasserre, Emmanuël Trouvé, Andreea Julea, Marie‐Pierre Doin, Marc Plantevit and Thierry Charnois. Their work appears in journals such as Data Mining and Knowledge Discovery, Vaccines, Ultramicroscopy, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and IEEE Access.
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.