Benjamin Girault
Impact in
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- Complex Network Analysis Techniques
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- Digital Mental Health Interventions
Papers in
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- Advanced Graph Neural Networks 6
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- Data Visualization and Analytics 2
- Co-authors
- Shrikanth Narayanan (5 shared papers)Antonio Ortega (6 shared papers)Paulo Gonçalvés (1 shared paper)Éric Fleury (1 shared paper)Brandon M. Booth (3 shared papers)Emilio Ferrara (2 shared papers)Kristina Lerman (2 shared papers)Tiantian Feng (3 shared papers)
- Journals
- Scientific Data (2 papers)IEEE Transactions on Signal Processing (2 papers)Pattern Recognition Letters (1 paper)IEEE Signal Processing Letters (1 paper)Acta Astronautica (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Benjamin Girault
14 papers receiving 226 citations
Peers
Comparison fields: 5 of 61
- Statistical and Nonlinear Physics 57
- Applied Psychology 18
- Experimental and Cognitive Psychology 42
- Artificial Intelligence 92
- Computer Vision and Pattern Recognition 42
Countries citing papers authored by Benjamin Girault
This map shows the geographic impact of Benjamin Girault'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 Benjamin Girault with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Girault more than expected).
Fields of papers citing papers by Benjamin Girault
This network shows the impact of papers produced by Benjamin Girault. 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 Benjamin Girault. The network helps show where Benjamin Girault may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Girault, 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 | 2020 | 64 | |
| 2 | 2018 | 45 | |
| 3 | 2015 | 41 | |
| 4 | 2022 | 20 | |
| 5 | 2015 | 15 | |
| 6 | 2023 | 10 | |
| 7 | 2019 | 7 | |
| 8 | 2020 | 6 | |
| 9 | 2021 | 5 | |
| 10 | 2012 | 4 | |
| 11 | 2021 | 4 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 2 | |
| 14 | 2019 | 2 |
About Benjamin Girault
Benjamin Girault is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Experimental and Cognitive Psychology and Computer Networks and Communications, having authored 14 papers that have together received 229 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (6 papers), Complex Network Analysis Techniques (4 papers), Data Visualization and Analytics (2 papers), Electric Vehicles and Infrastructure (1 paper), COVID-19 epidemiological studies (1 paper), Underwater Vehicles and Communication Systems (1 paper), Age of Information Optimization (1 paper) and Maritime Transport Emissions and Efficiency (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (57 citations), Applied Psychology (18 citations), Experimental and Cognitive Psychology (42 citations), Artificial Intelligence (92 citations) and Computer Vision and Pattern Recognition (42 citations). Benjamin Girault has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Shrikanth Narayanan, Antonio Ortega, Paulo Gonçalvés, Éric Fleury, Brandon M. Booth, Emilio Ferrara, Kristina Lerman, Tiantian Feng, Jennifer L. Villatte and Tiago H. Falk. Their work appears in journals such as Scientific Data, IEEE Transactions on Signal Processing, Pattern Recognition Letters, IEEE Signal Processing Letters and Acta Astronautica.
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.