Arnaud Soulet
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
- Information Systems top 10%
- Data Mining Algorithms and Applications
- Recommender Systems and Techniques
Papers in
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- Data Mining Algorithms and Applications 11
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- Data Management and Algorithms 10
- Co-authors
- Arnaud Giacometti (8 shared papers)Bruno Crémilleux (5 shared papers)Patrick Marcel (3 shared papers)Elsa Negre (2 shared papers)Marc Plantevit (2 shared papers)Chedy Raïssi (2 shared papers)Sandra de Amo (1 shared paper)Patrice Boizumault (1 shared paper)
In The Last Decade
Arnaud Soulet
16 papers receiving 158 citations
Peers
Comparison fields: 5 of 34
- Signal Processing 75
- Information Systems 90
- Computational Theory and Mathematics 46
- Computer Networks and Communications 65
- Artificial Intelligence 72
Countries citing papers authored by Arnaud Soulet
This map shows the geographic impact of Arnaud Soulet'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 Arnaud Soulet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnaud Soulet more than expected).
Fields of papers citing papers by Arnaud Soulet
This network shows the impact of papers produced by Arnaud Soulet. 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 Arnaud Soulet. The network helps show where Arnaud Soulet may publish in the future.
Co-authors
The 23 scholars most cited alongside Arnaud Soulet, 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 | 2009 | 25 | |
| 3 | 2011 | 25 | |
| 4 | 2014 | 21 | |
| 5 | 2015 | 9 | |
| 6 | 2014 | 9 | |
| 7 | 2009 | 9 | |
| 8 | 2016 | 8 | |
| 9 | 2008 | 8 | |
| 10 | 2019 | 7 | |
| 11 | 2006 | 5 | |
| 12 | 2013 | 4 | |
| 13 | 2020 | 4 | |
| 14 | 2008 | 2 | |
| 15 | Exploiting Virtual Patterns for Automatically Pruning the Search Space | 2005 | 1 |
| 16 | 2021 | 1 | |
| 17 | Mining Partial Annotation Rules for Named Entity Recognition (Fouille de règles d'annotation partielles pour la reconnaissance des entités nommées) [in French]) | 2013 | 1 |
| 18 | 2023 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2023 | 0 |
About Arnaud Soulet
Arnaud Soulet is a scholar working on Information Systems, Signal Processing, Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications, having authored 20 papers that have together received 171 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (11 papers), Data Management and Algorithms (10 papers), Rough Sets and Fuzzy Logic (7 papers), Advanced Database Systems and Queries (3 papers), Data Stream Mining Techniques (2 papers), Topic Modeling (2 papers), Imbalanced Data Classification Techniques (2 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Signal Processing (75 citations), Information Systems (90 citations), Computational Theory and Mathematics (46 citations), Computer Networks and Communications (65 citations) and Artificial Intelligence (72 citations). Arnaud Soulet has collaborated with scholars based in France, Senegal and Brazil. Frequent co-authors include Arnaud Giacometti, Bruno Crémilleux, Patrick Marcel, Elsa Negre, Marc Plantevit, Chedy Raïssi, Sandra de Amo, Patrice Boizumault, Jǐŕı Kléma and Olivier Gandrillon. Their work appears in journals such as Information Systems, Data Mining and Knowledge Discovery, Journal on Computing and Cultural Heritage, In Silico Biology and Artificial Intelligence.
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.