RAIRO - Operations Research

1.9k papers and 12.4k indexed citations i.

About

The 1.9k papers published in RAIRO - Operations Research in the last decades have received a total of 12.4k indexed citations. Papers published in RAIRO - Operations Research usually cover Management Information Systems (534 papers), Computational Theory and Mathematics (447 papers) and Management Science and Operations Research (428 papers) specifically the topics of Supply Chain and Inventory Management (405 papers), Sustainable Supply Chain Management (320 papers) and Scheduling and Optimization Algorithms (210 papers). The most active scholars publishing in RAIRO - Operations Research are Jacques Carlier, Éric D. Taillard, Biswajit Sarkar, Toshio Nakagawa, Paul Feautrier, Shib Sankar Sana, Emmanuel Néron, Sizhong Zhou, Wing‐Keung Wong and Brojeswar Pal.

In The Last Decade

Fields of papers published in RAIRO - Operations Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in RAIRO - Operations Research. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in RAIRO - Operations Research.

Countries where authors publish in RAIRO - Operations Research

Since Specialization
Citations

This map shows the geographic impact of research published in RAIRO - Operations 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 papers published in RAIRO - Operations Research with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites RAIRO - Operations Research 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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