David Auber

39 papers and 662 indexed citations i.

About

David Auber is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Theory and Mathematics. According to data from OpenAlex, David Auber has authored 39 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 9 papers in Computational Theory and Mathematics. Recurrent topics in David Auber’s work include Data Visualization and Analytics (29 papers), Data Management and Algorithms (9 papers) and Topological and Geometric Data Analysis (8 papers). David Auber is often cited by papers focused on Data Visualization and Analytics (29 papers), Data Management and Algorithms (9 papers) and Topological and Geometric Data Analysis (8 papers). David Auber collaborates with scholars based in France, Canada and Austria. David Auber's co-authors include Daniel Archambault, Tamara Munzner, Romain Bourqui, Paolo Simonetto, Antoine Lambert, Alexandru Telea, Macha Nikolski, Bertrand Mathieu, David James Sherman and Fabien Jourdan and has published in prestigious journals such as Bioinformatics, Methods and Cellulose.

In The Last Decade

Co-authorship network of co-authors of David Auber i

Fields of papers citing papers by David Auber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by David Auber

Since Specialization
Citations

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).

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.

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