Arnaud Sallaberry
- Computer Vision and Pattern Recognition top 5%
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Information Systems top 10%
- Co-authors
- Pascal PonceletFaraz ZaidiGuy MélançonDino IencoRoberto InterdonatoAndrea TagarelliMathieu RocheSandra Bringay
- Topics
- Data Visualization and Analytics (20 papers)Complex Network Analysis Techniques (15 papers)Data-Driven Disease Surveillance (5 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Vision and Pattern RecognitionComputational Mathematics
- Journals
- PLoS ONEIEEE Transactions on Visualization and Computer GraphicsJournal of Biomedical Informatics
- Partner nations
- FranceUnited StatesPakistan
In The Last Decade
Arnaud Sallaberry
36 papers receiving 342 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 147
- Statistical and Nonlinear Physics 140
- Artificial Intelligence 106
- Signal Processing 57
- Information Systems 46
Countries citing papers authored by Arnaud Sallaberry
This map shows the geographic impact of Arnaud Sallaberry'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 Sallaberry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnaud Sallaberry more than expected).
Fields of papers citing papers by Arnaud Sallaberry
This network shows the impact of papers produced by Arnaud Sallaberry. 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 Sallaberry. The network helps show where Arnaud Sallaberry may publish in the future.
Co-authorship network of co-authors of Arnaud Sallaberry
This figure shows the co-authorship network connecting the top 25 collaborators of Arnaud Sallaberry. A scholar is included among the top collaborators of Arnaud Sallaberry based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arnaud Sallaberry. Arnaud Sallaberry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 24 | |
| 11 | Détection de communautés locales dans des réseaux multicouches | 49 |
| 12 | 12 | |
| 13 | 4 | |
| 14 | Visualizing Time-varying Twitter Data with SentimentClock | 1 |
| 15 | Tunable and Growing Network Generation Model with Community Structures | 1 |
| 16 | 42 | |
| 17 | 15 | |
| 18 | 14 | |
| 19 | 23 | |
| 20 | Interactive visualization and navigation of web search results revealing community structures and bridges | 6 |
About Arnaud Sallaberry
Arnaud Sallaberry is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Signal Processing, having authored 37 papers that have together received 350 indexed citations. Recurring topics across this work include Data Visualization and Analytics (20 papers), Complex Network Analysis Techniques (15 papers) and Data-Driven Disease Surveillance (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (140 citations), Computer Vision and Pattern Recognition (147 citations) and Computational Mathematics (4 citations). Arnaud Sallaberry has collaborated with scholars based in France, United States and Pakistan. Frequent co-authors include Pascal Poncelet, Faraz Zaidi, Guy Mélançon, Dino Ienco, Roberto Interdonato, Andrea Tagarelli, Mathieu Roche, Sandra Bringay, Benjamin Renoust and Maguelonne Teisseire. Their work appears in journals such as PLoS ONE, IEEE Transactions on Visualization and Computer Graphics and Journal of Biomedical Informatics.
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.