Dominique Orban

69 papers and 2.2k indexed citations i.

About

Dominique Orban is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Computational Mechanics. According to data from OpenAlex, Dominique Orban has authored 69 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computational Theory and Mathematics, 52 papers in Numerical Analysis and 15 papers in Computational Mechanics. Recurrent topics in Dominique Orban’s work include Advanced Optimization Algorithms Research (50 papers), Matrix Theory and Algorithms (34 papers) and Sparse and Compressive Sensing Techniques (14 papers). Dominique Orban is often cited by papers focused on Advanced Optimization Algorithms Research (50 papers), Matrix Theory and Algorithms (34 papers) and Sparse and Compressive Sensing Techniques (14 papers). Dominique Orban collaborates with scholars based in Canada, United States and France. Dominique Orban's co-authors include Nicholas I. M. Gould, Philippe L. Toint, José Luis Morales, Jorge Nocedal, Richard A. Waltz, Charles Audet, Michael P. Friedlander, Annick Sartenaer, Andrew R. Conn and Michael A. Saunders and has published in prestigious journals such as American Journal of Science, Mathematical Programming and Computers & Operations Research.

In The Last Decade

Co-authorship network of co-authors of Dominique Orban i

Fields of papers citing papers by Dominique Orban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dominique Orban. 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 Dominique Orban. The network helps show where Dominique Orban may publish in the future.

Countries citing papers authored by Dominique Orban

Since Specialization
Citations

This map shows the geographic impact of Dominique Orban'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 Dominique Orban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominique Orban 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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