David Auber
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- Data Visualization and Analytics 29
- Graph Theory and Algorithms 7
- Video Analysis and Summarization 4
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- Complex Network Analysis Techniques 5
- Signal Processing top 5%
- Data Management and Algorithms 10
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- Computer Graphics and Visualization Techniques 4
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- Topological and Geometric Data Analysis 6
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- Bioinformatics and Genomic Networks 4
David Auber
40 papers receiving 825 citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 634
- Statistical and Nonlinear Physics 265
- Signal Processing 172
- Computer Graphics and Computer-Aided Design 53
- Computational Theory and Mathematics 143
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2023 | 36 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 3 | |
| 5 | 2020 | 14 | |
| 6 | 2020 | 20 | |
| 7 | 2018 | 10 | |
| 8 | 2013 | 42 | |
| 9 | 2010 | 73 | |
| 10 | 2010 | 17 | |
| 11 | Living flows: enhanced exploration of edge-bundled graphs based on GPU-intensive edge rendering | 2010 | 1 |
| 12 | 2008 | 108 | |
| 13 | 2007 | 25 | |
| 14 | 2007 | 103 | |
| 15 | 2006 | 14 | |
| 16 | 2006 | 17 | |
| 17 | 2005 | 11 | |
| 18 | 2005 | 4 | |
| 19 | 2004 | 2 | |
| 20 | 2003 | 3 |
About David Auber
David Auber is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Signal Processing, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 42 papers that have together received 857 indexed citations. Recurring topics across this work include Data Visualization and Analytics (29 papers), Data Management and Algorithms (10 papers), Graph Theory and Algorithms (7 papers), Topological and Geometric Data Analysis (6 papers), Complex Network Analysis Techniques (5 papers), Bioinformatics and Genomic Networks (4 papers), Computer Graphics and Visualization Techniques (4 papers) and Video Analysis and Summarization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (634 citations), Statistical and Nonlinear Physics (265 citations), Signal Processing (172 citations), Computer Graphics and Computer-Aided Design (53 citations) and Computational Theory and Mathematics (143 citations). David Auber has collaborated with scholars based in France, Canada and Austria. Frequent co-authors include Daniel Archambault, Tamara Munzner, Romain Bourqui, Alexandru Telea, Antoine Lambert, Paolo Simonetto, Romain Giot, Macha Nikolski, Bertrand Mathieu and David James Sherman. 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 BMC Systems Biology.
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.