Romain Bourqui
Impact in
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- Data Visualization and Analytics
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- Computer Graphics and Visualization Techniques
Papers in
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- Data Visualization and Analytics 19
- Graph Theory and Algorithms 4
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- Anomaly Detection Techniques and Applications 2
- Co-authors
- David Auber (16 shared papers)Antoine Lambert (4 shared papers)Romain Giot (12 shared papers)Paolo Simonetto (2 shared papers)Fabien Jourdan (2 shared papers)Frédéric Gilbert (1 shared paper)Faraz Zaidi (1 shared paper)Patricia Thébault (5 shared papers)
- Journals
- Computer Graphics Forum (4 papers)IEEE Transactions on Visualization and Computer Graphics (3 papers)Visual Informatics (3 papers)BMC Systems Biology (1 paper)Social Network Analysis and Mining (1 paper)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Romain Bourqui
27 papers receiving 340 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 200
- Computer Graphics and Computer-Aided Design 29
- Statistical and Nonlinear Physics 96
- Signal Processing 57
- Transportation 19
Countries citing papers authored by Romain Bourqui
This map shows the geographic impact of Romain Bourqui'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 Romain Bourqui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Romain Bourqui more than expected).
Fields of papers citing papers by Romain Bourqui
This network shows the impact of papers produced by Romain Bourqui. 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 Romain Bourqui. The network helps show where Romain Bourqui may publish in the future.
Co-authors
The 25 scholars most cited alongside Romain Bourqui, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 74 | |
| 2 | 2010 | 51 | |
| 3 | 2023 | 41 | |
| 4 | 2007 | 25 | |
| 5 | 2011 | 16 | |
| 6 | 2007 | 15 | |
| 7 | 2020 | 14 | |
| 8 | 2011 | 14 | |
| 9 | 2022 | 14 | |
| 10 | 2017 | 12 | |
| 11 | 2017 | 11 | |
| 12 | 2020 | 9 | |
| 13 | 2014 | 8 | |
| 14 | 2012 | 7 | |
| 15 | 2017 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2016 | 3 |
About Romain Bourqui
Romain Bourqui is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 28 papers that have together received 354 indexed citations. Recurring topics across this work include Data Visualization and Analytics (19 papers), Computer Graphics and Visualization Techniques (5 papers), Data Management and Algorithms (4 papers), Topological and Geometric Data Analysis (4 papers), Graph Theory and Algorithms (4 papers), Complex Network Analysis Techniques (4 papers), Bioinformatics and Genomic Networks (3 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (200 citations), Computer Graphics and Computer-Aided Design (29 citations), Statistical and Nonlinear Physics (96 citations), Signal Processing (57 citations) and Transportation (19 citations). Romain Bourqui has collaborated with scholars based in France, United States and Italy. Frequent co-authors include David Auber, Antoine Lambert, Romain Giot, Paolo Simonetto, Fabien Jourdan, Frédéric Gilbert, Faraz Zaidi, Patricia Thébault, Jonathan L. DuBois and Giuseppe Santucci. Their work appears in journals such as Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics, Visual Informatics, BMC Systems Biology and Social Network Analysis and Mining.
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.