Optimization methods & software

38.0k citations
1.5k papers · · active since 1950

Impact in

Papers in

    • Advanced Optimization Algorithms Research 869
    • Iterative Methods for Nonlinear Equations 182
    • Optimization and Variational Analysis 361
    • Matrix Theory and Algorithms 274
    • Advanced Multi-Objective Optimization Algorithms 87
    • Numerical Methods and Algorithms 86

Optimization methods & software

1.4k papers receiving 35.2k citations

Peers

Optimization methods & software
Comparison fields: 5 of 218
  • Numerical Analysis 13.0k
  • Computational Theory and Mathematics 13.5k
  • Computational Mathematics 414
  • Control and Systems Engineering 8.2k
  • Computational Mechanics 7.0k
Replace Computational Optimization and Applications with:
Computational Optimization and Applications United States
ACM Transactions on Mathematical Software United States
Optimization Letters China
Journal of Complexity United States
Advances in Computational Mathematics United States
IMA Journal of Numerical Analysis United Kingdom
Applied Mathematics & Optimization United States
Archives of Computational Methods in Engineering India
Journal of Industrial and Management Optimization China
International Statistical Review United States
Optimization methods & software relative to Computational Optimization and Applications United States Computational Optimization and Applications's profile →
Citations per field
00.5×1.5×
Computational Optimization and Applications · 1×
Citations per year

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.

About Optimization methods & software

The 1.5k papers published in Optimization methods & software in the last decades have received a total of 38.0k indexed citations . Papers published in Optimization methods & software usually cover Numerical Analysis (928 papers), Computational Theory and Mathematics (862 papers), Computational Mathematics (23 papers), Computational Mechanics (412 papers) and Control and Systems Engineering (244 papers) specifically the topics of Advanced Optimization Algorithms Research (869 papers), Optimization and Variational Analysis (361 papers), Sparse and Compressive Sensing Techniques (301 papers), Matrix Theory and Algorithms (274 papers), Iterative Methods for Nonlinear Equations (182 papers), Advanced Control Systems Optimization (132 papers), Advanced Multi-Objective Optimization Algorithms (87 papers) and Numerical Methods and Algorithms (86 papers). The most active scholars publishing in Optimization methods & software are J.F. Sturm, O. L. Mangasarian, Pãnos M. Pardalos, Brian Borchers, Michael J. Todd, Kim-Chuan Toh, Reha Tütüncü, Robert J. Vanderbei, Michael C. Ferris and Steven P. Dirkse.

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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