André Péninou
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
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- Recommender Systems and Techniques
- Web Data Mining and Analysis
Papers in
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- Multi-Agent Systems and Negotiation 4
- Semantic Web and Ontologies 2
- Advanced Clustering Algorithms Research 2
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- Recommender Systems and Techniques 7
- Co-authors
- Florence Sèdes (10 shared papers)Dieudonné Tchuente (4 shared papers)Christophe Kolski (2 shared papers)Houcine Ezzedine (2 shared papers)Valérie Camps (2 shared papers)Ikram Amous (3 shared papers)Corinne Amel Zayani (3 shared papers)Olivier Teste (3 shared papers)
In The Last Decade
André Péninou
16 papers receiving 70 citations
Peers
Comparison fields: 5 of 40
- Statistical and Nonlinear Physics 21
- Information Systems 29
- Computer Science Applications 5
- Management Information Systems 7
- Transportation 5
Countries citing papers authored by André Péninou
This map shows the geographic impact of André Péninou'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 André Péninou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Péninou more than expected).
Fields of papers citing papers by André Péninou
This network shows the impact of papers produced by André Péninou. 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 André Péninou. The network helps show where André Péninou may publish in the future.
Co-authors
The 14 scholars most cited alongside André Péninou, 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 | 2013 | 17 | |
| 2 | 2004 | 11 | |
| 3 | 2013 | 9 | |
| 4 | 2016 | 8 | |
| 5 | 2010 | 6 | |
| 6 | 2018 | 5 | |
| 7 | 2019 | 4 | |
| 8 | 2012 | 4 | |
| 9 | 2019 | 3 | |
| 10 | Multi-Agent Systems for adaptive Multi-User Interactive System Design: Some Issues of Research | 1999 | 2 |
| 11 | 2013 | 2 | |
| 12 | 2014 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2001 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2015 | 0 | |
| 18 | 2020 | 0 | |
| 19 | 2017 | 0 |
About André Péninou
André Péninou is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Signal Processing, having authored 19 papers that have together received 77 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Complex Network Analysis Techniques (6 papers), Multi-Agent Systems and Negotiation (4 papers), Opinion Dynamics and Social Influence (4 papers), Context-Aware Activity Recognition Systems (3 papers), Data Management and Algorithms (3 papers), Semantic Web and Ontologies (2 papers) and Advanced Clustering Algorithms Research (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (21 citations), Information Systems (29 citations), Computer Science Applications (5 citations), Management Information Systems (7 citations) and Transportation (5 citations). André Péninou has collaborated with scholars based in France, Tunisia and Italy. Frequent co-authors include Florence Sèdes, Dieudonné Tchuente, Christophe Kolski, Houcine Ezzedine, Valérie Camps, Ikram Amous, Corinne Amel Zayani, Olivier Teste, Pierre Glize and Vincent Charvillat. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Online Information Review, Journal Of Big Data, Data & Knowledge Engineering and Information Systems.
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.