Marc Renault

402 citations
8 papers · 73 · h-index 6

Impact in

Papers in

Marc Renault

8 papers receiving 72 citations

Peers

Marc Renault
Comparison fields: 5 of 21
  • Industrial and Manufacturing Engineering 33
  • Computer Networks and Communications 47
  • Management Science and Operations Research 15
  • Computational Theory and Mathematics 11
  • Artificial Intelligence 9
Replace Geoffrey Chu with:
Geoffrey Chu Australia
Sonia Schulenburg United Kingdom
Kristina Marasović United States
Henning Mersch Germany
Maikel L. van Eck Netherlands
Pierre-François Dutot France
Erik Pitzer Austria
Benjamin Dalmas France
Jonathan J. Hoch Israel
Michael Dom Germany
Marc Renault relative to Geoffrey Chu Australia Geoffrey Chu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Marc Renault

Since Specialization
Citations

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

Fields of papers citing papers by Marc Renault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Marc Renault, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marc Renault Line = papers co-authored together Marc Renault links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown

About Marc Renault

Marc Renault is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering, Computational Theory and Mathematics, Management Science and Operations Research and Surgery, having authored 8 papers that have together received 73 indexed citations. Recurring topics across this work include Optimization and Search Problems (6 papers), Complexity and Algorithms in Graphs (3 papers), Optimization and Packing Problems (3 papers), Auction Theory and Applications (2 papers), Scheduling and Optimization Algorithms (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Advanced Manufacturing and Logistics Optimization (1 paper) and Advanced Bandit Algorithms Research (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (33 citations), Computer Networks and Communications (47 citations), Management Science and Operations Research (15 citations), Computational Theory and Mathematics (11 citations) and Artificial Intelligence (9 citations). Marc Renault has collaborated with scholars based in France, Canada and United Kingdom. Frequent co-authors include Adi Rosén, Rob van Stee, Nisa Renault, Christoph Dürr, Spyros Angelopoulos, Wenda Greer, Shahin Kamali, Robin E. Howell, Sarah Dyack and Philip D. Acott. Their work appears in journals such as Theory of Computing Systems, Journal of Gastroenterology and Hepatology, Journal of Scheduling, Journal of Computer and System Sciences and Theoretical Computer Science.

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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