André Panisson
Impact in
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- Complex Network Analysis Techniques
- Computational Mathematics top 5%
Papers in
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- Human Mobility and Location-Based Analysis 5
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- Complex Network Analysis Techniques 7
- Co-authors
- Ciro Cattuto (15 shared papers)Laëtitia Gauvin (9 shared papers)Alain Barrat (5 shared papers)Michele Tizzoni (11 shared papers)Paolo Bajardi (8 shared papers)Christian L. Vestergaard (1 shared paper)Mathieu Génois (1 shared paper)Julie Fournet (1 shared paper)
In The Last Decade
André Panisson
48 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Statistical and Nonlinear Physics 391
- Computational Mathematics 17
- Transportation 90
- Communication 102
- Modeling and Simulation 32
Countries citing papers authored by André Panisson
This map shows the geographic impact of André Panisson'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 Panisson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Panisson more than expected).
Fields of papers citing papers by André Panisson
This network shows the impact of papers produced by André Panisson. 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 Panisson. The network helps show where André Panisson may publish in the future.
Co-authors
The 25 scholars most cited alongside André Panisson, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 188 | |
| 2 | 2015 | 173 | |
| 3 | 2020 | 106 | |
| 4 | 2016 | 61 | |
| 5 | 2016 | 57 | |
| 6 | 2021 | 56 | |
| 7 | 2019 | 53 | |
| 8 | 2013 | 51 | |
| 9 | 2013 | 48 | |
| 10 | 2011 | 45 | |
| 11 | 2005 | 44 | |
| 12 | 2021 | 37 | |
| 13 | 2008 | 32 | |
| 14 | 2015 | 30 | |
| 15 | 2019 | 30 | |
| 16 | 2006 | 23 | |
| 17 | Predicting City Poverty Using Satellite Imagery | 2019 | 21 |
| 18 | 2020 | 21 | |
| 19 | 2023 | 16 | |
| 20 | Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis. | 2020 | 14 |
About André Panisson
André Panisson is a scholar working on Transportation, Statistical and Nonlinear Physics, Artificial Intelligence, Communication and Information Systems, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (7 papers), Complex Network Analysis Techniques (7 papers), Recommender Systems and Techniques (6 papers), Human Mobility and Location-Based Analysis (5 papers), Misinformation and Its Impacts (4 papers), Data-Driven Disease Surveillance (3 papers), Advanced Graph Neural Networks (3 papers) and Ethics and Social Impacts of AI (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (391 citations), Computational Mathematics (17 citations), Transportation (90 citations), Communication (102 citations) and Modeling and Simulation (32 citations). André Panisson has collaborated with scholars based in Italy, France and Austria. Frequent co-authors include Ciro Cattuto, Laëtitia Gauvin, Alain Barrat, Michele Tizzoni, Paolo Bajardi, Christian L. Vestergaard, Mathieu Génois, Julie Fournet, Daniela Paolotti and Alan Perotti. Their work appears in journals such as EPJ Data Science, Journal of Medical Internet Research, IEEE Communications Magazine, IEEE Transactions on Knowledge and Data Engineering and Information Processing & Management.
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.