Nicolas Labroche
Impact in
- Artificial Intelligence top 10%
- Advanced Clustering Algorithms Research
- Metaheuristic Optimization Algorithms Research
- Text and Document Classification Technologies
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- Data Management and Algorithms
Papers in
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- Advanced Clustering Algorithms Research 8
- Natural Language Processing Techniques 3
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- Data Mining Algorithms and Applications 9
- Web Data Mining and Analysis 5
- Recommender Systems and Techniques 3
- Co-authors
- Gilles Venturini (5 shared papers)Nicolas Monmarché (3 shared papers)Bernadette Bouchon‐Meunier (6 shared papers)Verónika Peralta (5 shared papers)Patrick Marcel (7 shared papers)Christiane Guinot (1 shared paper)Julien Aligon (4 shared papers)Pedro Furtado (2 shared papers)
In The Last Decade
Nicolas Labroche
26 papers receiving 236 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 184
- Signal Processing 45
- Computer Vision and Pattern Recognition 66
- Statistical and Nonlinear Physics 37
- Information Systems 63
Countries citing papers authored by Nicolas Labroche
This map shows the geographic impact of Nicolas Labroche'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 Nicolas Labroche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Labroche more than expected).
Fields of papers citing papers by Nicolas Labroche
This network shows the impact of papers produced by Nicolas Labroche. 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 Nicolas Labroche. The network helps show where Nicolas Labroche may publish in the future.
Co-authors
The 23 scholars most cited alongside Nicolas Labroche, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 72 | |
| 2 | 2011 | 34 | |
| 3 | 2015 | 20 | |
| 4 | 2003 | 16 | |
| 5 | 2018 | 13 | |
| 6 | 2013 | 12 | |
| 7 | 2009 | 11 | |
| 8 | 2017 | 11 | |
| 9 | 2004 | 9 | |
| 10 | 2010 | 8 | |
| 11 | 2009 | 7 | |
| 12 | Web sessions clustering with artificial ants colonies | 2003 | 6 |
| 13 | 2022 | 6 | |
| 14 | 2020 | 4 | |
| 15 | 2018 | 4 | |
| 16 | 2017 | 3 | |
| 17 | A new clustering algorithm based on the ants chemical recognition system. | 2002 | 2 |
| 18 | 2010 | 2 | |
| 19 | 2017 | 2 | |
| 20 | 2017 | 2 |
About Nicolas Labroche
Nicolas Labroche is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications and Computational Theory and Mathematics, having authored 30 papers that have together received 251 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (9 papers), Advanced Clustering Algorithms Research (8 papers), Data Management and Algorithms (8 papers), Advanced Database Systems and Queries (5 papers), Web Data Mining and Analysis (5 papers), Natural Language Processing Techniques (3 papers), Recommender Systems and Techniques (3 papers) and Time Series Analysis and Forecasting (3 papers). The work is most often cited by research in Artificial Intelligence (184 citations), Signal Processing (45 citations), Computer Vision and Pattern Recognition (66 citations), Statistical and Nonlinear Physics (37 citations) and Information Systems (63 citations). Nicolas Labroche has collaborated with scholars based in France, Portugal and Vietnam. Frequent co-authors include Gilles Venturini, Nicolas Monmarché, Bernadette Bouchon‐Meunier, Verónika Peralta, Patrick Marcel, Christiane Guinot, Julien Aligon, Pedro Furtado, Arnaud Soulet and Arnaud Giacometti. Their work appears in journals such as Information Systems, Lecture notes in computer science, Computational and Structural Biotechnology Journal, ACM Transactions on Intelligent Systems and Technology and IEEE Transactions on Knowledge and Data Engineering.
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.