Nicolas Labroche
Impact in
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- Advanced Clustering Algorithms Research
- Text and Document Classification Technologies
- Topic Modeling
- Data Stream Mining Techniques
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- Data Management and Algorithms
Papers in
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- Advanced Clustering Algorithms Research 5
- Explainable Artificial Intelligence (XAI) 3
- Data Stream Mining Techniques 2
- Natural Language Processing Techniques 2
- Metaheuristic Optimization Algorithms Research 2
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- Data Mining Algorithms and Applications 4
- Co-authors
- Bernadette Bouchon‐Meunier (3 shared papers)Gilles Venturini (2 shared papers)Julien Aligon (3 shared papers)Patrick Marcel (2 shared papers)Nicolas Monmarché (1 shared paper)Arnaud Soulet (1 shared paper)Arnaud Giacometti (1 shared paper)Cyrille Delpierre (1 shared paper)
In The Last Decade
Nicolas Labroche
11 papers receiving 84 citations
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 74
- Signal Processing 16
- Computer Vision and Pattern Recognition 29
- Computer Science Applications 7
- Information Systems 18
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 14 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
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 31 | |
| 2 | 2015 | 14 | |
| 3 | 2018 | 11 | |
| 4 | 2013 | 10 | |
| 5 | 2017 | 8 | |
| 6 | Web sessions clustering with artificial ants colonies | 2003 | 5 |
| 7 | 2022 | 4 | |
| 8 | 2020 | 4 | |
| 9 | A new clustering algorithm based on the ants chemical recognition system. | 2002 | 2 |
| 10 | 2010 | 2 | |
| 11 | 2022 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 2025 | 0 | |
| 14 | 2024 | 0 | |
| 15 | 2022 | 0 |
About Nicolas Labroche
Nicolas Labroche is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computational Theory and Mathematics and Computer Networks and Communications, having authored 15 papers that have together received 92 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (5 papers), Data Mining Algorithms and Applications (4 papers), Data Management and Algorithms (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Data Stream Mining Techniques (2 papers), Natural Language Processing Techniques (2 papers), Time Series Analysis and Forecasting (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Artificial Intelligence (74 citations), Signal Processing (16 citations), Computer Vision and Pattern Recognition (29 citations), Computer Science Applications (7 citations) and Information Systems (18 citations). Nicolas Labroche has collaborated with scholars based in France and Vietnam. Frequent co-authors include Bernadette Bouchon‐Meunier, Gilles Venturini, Julien Aligon, Patrick Marcel, Nicolas Monmarché, Arnaud Soulet, Arnaud Giacometti, Cyrille Delpierre, Manon Martin and Cyril de Runz. Their work appears in journals such as Information Systems, Pattern Recognition, Neurocomputing, Computational and Structural Biotechnology Journal and ACM Transactions on Intelligent Systems and Technology.
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.