Optimization toolbox : for use with MATLAB

580 indexed citations
published 1999

Countries where authors are citing Optimization toolbox : for use with MATLAB

Specialization
Citations

This map shows the geographic impact of Optimization toolbox : for use with MATLAB. 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 Optimization toolbox : for use with MATLAB with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Optimization toolbox : for use with MATLAB more than expected).

Fields of papers citing Optimization toolbox : for use with MATLAB

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Optimization toolbox : for use with MATLAB. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Optimization toolbox : for use with MATLAB.

About Optimization toolbox : for use with MATLAB

This paper, published in 1999, received 580 indexed citations . Written by Thomas F. Coleman and Andrew Grace. It is primarily cited by scholars working on Control and Systems Engineering (201 citations), Electrical and Electronic Engineering (89 citations) and Mechanical Engineering (84 citations).

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.

This paper is also available at doi.org/w28885708.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026