André Panisson
Impact in
- Computational Mathematics top 5%
- Transportation top 5%
- Human Mobility and Location-Based Analysis
Papers in ⓘ
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- Tensor decomposition and applications 4
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- Human Mobility and Location-Based Analysis 8
- Co-authors
- Ciro Cattuto (11 shared papers)Laëtitia Gauvin (6 shared papers)Michele Tizzoni (7 shared papers)Daniela Paolotti (4 shared papers)Alain Barrat (3 shared papers)Michele Tizzani (3 shared papers)Paolo Bajardi (6 shared papers)Michele Starnini (2 shared papers)
- Journals
- EPJ Data Science (4 papers)Journal of Medical Internet Research (2 papers)Ad Hoc Networks (1 paper)Scientific Reports (1 paper)Frontiers in Big Data (1 paper)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
André Panisson
32 papers receiving 706 citations
Peers
Comparison fields: 5 of 106
- Computational Mathematics 34
- Transportation 129
- Statistical and Nonlinear Physics 187
- Modeling and Simulation 59
- Health Informatics 16
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 139 | |
| 2 | 2020 | 94 | |
| 3 | 2016 | 50 | |
| 4 | 2016 | 45 | |
| 5 | 2019 | 43 | |
| 6 | 2011 | 40 | |
| 7 | 2021 | 39 | |
| 8 | 2013 | 36 | |
| 9 | 2013 | 34 | |
| 10 | 2005 | 31 | |
| 11 | 2015 | 28 | |
| 12 | 2008 | 25 | |
| 13 | Predicting City Poverty Using Satellite Imagery | 2019 | 21 |
| 14 | 2020 | 19 | |
| 15 | 2006 | 15 | |
| 16 | Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis. | 2020 | 13 |
| 17 | 2023 | 11 | |
| 18 | 2015 | 9 | |
| 19 | 2019 | 7 | |
| 20 | 2022 | 6 |
About André Panisson
André Panisson is a scholar working on Computational Mathematics, Transportation, Health Informatics, Artificial Intelligence and Modeling and Simulation, having authored 35 papers that have together received 730 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (8 papers), Misinformation and Its Impacts (5 papers), Explainable Artificial Intelligence (XAI) (4 papers), Tensor decomposition and applications (4 papers), Recommender Systems and Techniques (4 papers), Peer-to-Peer Network Technologies (3 papers), Advanced Graph Neural Networks (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Computational Mathematics (34 citations), Transportation (129 citations), Statistical and Nonlinear Physics (187 citations), Modeling and Simulation (59 citations) and Health Informatics (16 citations). André Panisson has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Ciro Cattuto, Laëtitia Gauvin, Michele Tizzoni, Daniela Paolotti, Alain Barrat, Michele Tizzani, Paolo Bajardi, Michele Starnini, Giancarlo Ruffo and Nicola Perra. Their work appears in journals such as EPJ Data Science, Journal of Medical Internet Research, Ad Hoc Networks, Scientific Reports and Frontiers in Big Data.
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.