Optimization methods & software

1.5k papers and 34.8k indexed citations

About

The 1.5k papers published in Optimization methods & software in the last decades have received a total of 34.8k indexed citations. Papers published in Optimization methods & software usually cover Numerical Analysis (917 papers), Computational Theory and Mathematics (849 papers) and Computational Mechanics (407 papers) specifically the topics of Advanced Optimization Algorithms Research (858 papers), Optimization and Variational Analysis (355 papers) and Sparse and Compressive Sensing Techniques (298 papers). The most active scholars publishing in Optimization methods & software are J.F. Sturm, O. L. Mangasarian, Pãnos M. Pardalos, Michael J. Todd, Kim-Chuan Toh, Reha Tütüncü, Brian Borchers, Robert J. Vanderbei, Michael C. Ferris and Steven P. Dirkse.

In The Last Decade

Optimization methods & software

1.4k papers receiving 32.1k citations

Countries where authors publish in Optimization methods & software

Since Specialization
Citations

This map shows the geographic impact of research published in Optimization methods & software. 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 Optimization methods & software with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Optimization methods & software more than expected).

Fields of papers published in Optimization methods & software

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Optimization methods & software. 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 Optimization methods & software.

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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