David Auber
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
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- Complex Network Analysis Techniques
Papers in
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- Data Visualization and Analytics 58
- Graph Theory and Algorithms 11
- Video Analysis and Summarization 8
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- Data Management and Algorithms 23
- Co-authors
- Daniel Archambault (11 shared papers)Tamara Munzner (7 shared papers)Romain Bourqui (30 shared papers)Antoine Lambert (7 shared papers)Fabien Jourdan (5 shared papers)Paolo Simonetto (4 shared papers)Guy Mélançon (7 shared papers)Yves Chiricota (4 shared papers)
In The Last Decade
David Auber
74 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 1.2k
- Statistical and Nonlinear Physics 530
- Computer Graphics and Computer-Aided Design 136
- Signal Processing 362
- Computational Theory and Mathematics 265
Countries citing papers authored by David Auber
This map shows the geographic impact of David Auber'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 David Auber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Auber more than expected).
Fields of papers citing papers by David Auber
This network shows the impact of papers produced by David Auber. 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 David Auber. The network helps show where David Auber may publish in the future.
Co-authors
The 25 scholars most cited alongside David Auber, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 222 | |
| 2 | 2003 | 158 | |
| 3 | 2008 | 117 | |
| 4 | 2007 | 116 | |
| 5 | 2010 | 95 | |
| 6 | 2009 | 94 | |
| 7 | 2004 | 89 | |
| 8 | 2008 | 67 | |
| 9 | 2015 | 53 | |
| 10 | 2013 | 47 | |
| 11 | 2010 | 44 | |
| 12 | 2023 | 43 | |
| 13 | 2006 | 43 | |
| 14 | 2007 | 34 | |
| 15 | 2007 | 30 | |
| 16 | 2008 | 27 | |
| 17 | Big Data Visualization and Analytics: Future Research Challenges and Emerging Applications | 2020 | 26 |
| 18 | 2009 | 22 | |
| 19 | 2020 | 22 | |
| 20 | 2007 | 20 |
About David Auber
David Auber is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computer Graphics and Computer-Aided Design, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 77 papers that have together received 1.7k indexed citations. Recurring topics across this work include Data Visualization and Analytics (58 papers), Data Management and Algorithms (23 papers), Graph Theory and Algorithms (11 papers), Complex Network Analysis Techniques (11 papers), Topological and Geometric Data Analysis (10 papers), Video Analysis and Summarization (8 papers), Computer Graphics and Visualization Techniques (7 papers) and Anomaly Detection Techniques and Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Statistical and Nonlinear Physics (530 citations), Computer Graphics and Computer-Aided Design (136 citations), Signal Processing (362 citations) and Computational Theory and Mathematics (265 citations). David Auber has collaborated with scholars based in France, Canada and Finland. Frequent co-authors include Daniel Archambault, Tamara Munzner, Romain Bourqui, Antoine Lambert, Fabien Jourdan, Paolo Simonetto, Guy Mélançon, Yves Chiricota, Alexandru Cristian Telea and Jean‐Philippe Domenger. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Visual Informatics, Journal of Graph Algorithms and Applications and 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.