An hp‐adaptive pseudospectral method for solving optimal control problems

Abstract

loading...

About

This paper, published in 1950, received 336 indexed citations. Written by Christopher L. Darby, William W. Hager and Anil V. Rao covering the research area of Numerical Analysis, Control and Systems Engineering and Aerospace Engineering. It is primarily cited by scholars working on Aerospace Engineering (230 citations), Control and Systems Engineering (76 citations) and Computer Vision and Pattern Recognition (62 citations). Published in Optimal Control Applications and Methods.

In The Last Decade

doi.org/10.1002/oca.957 →

Countries where authors are citing An hp‐adaptive pseudospectral method for solving optimal control problems

Since Specialization
Citations

This map shows the geographic impact of An hp‐adaptive pseudospectral method for solving optimal control problems. 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 An hp‐adaptive pseudospectral method for solving optimal control problems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites An hp‐adaptive pseudospectral method for solving optimal control problems more than expected).

Fields of papers citing An hp‐adaptive pseudospectral method for solving optimal control problems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of An hp‐adaptive pseudospectral method for solving optimal control problems. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the An hp‐adaptive pseudospectral method for solving optimal control problems.

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/10.1002/oca.957.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026