Mathematical Methods of Operations Research

1.3k papers and 16.5k indexed citations i.

About

The 1.3k papers published in Mathematical Methods of Operations Research in the last decades have received a total of 16.5k indexed citations. Papers published in Mathematical Methods of Operations Research usually cover Management Science and Operations Research (437 papers), Computational Theory and Mathematics (382 papers) and Economics and Econometrics (319 papers) specifically the topics of Optimization and Variational Analysis (230 papers), Advanced Optimization Algorithms Research (225 papers) and Stochastic processes and financial applications (201 papers). The most active scholars publishing in Mathematical Methods of Operations Research are Jörg Fliege, Nicole Bäuerle, B. F. Svaiter, Kathrin Klamroth, Johannes Jahn, Frank Pfeuffer, Jochen Gorski, Ralf Korn, Andrzej S. Nowak and Xiaoxu Huang.

In The Last Decade

Fields of papers published in Mathematical Methods of Operations Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Mathematical Methods of 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 Mathematical Methods of Operations Research.

Countries where authors publish in Mathematical Methods of Operations Research

Since Specialization
Citations

This map shows the geographic impact of research published in Mathematical Methods of 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 Mathematical Methods of 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 Mathematical Methods of 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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