Introduction to linear and nonlinear programming

1.4k indexed citations
published 1973
Journal
Medical Entomology and Zoology

In The Last Decade

doi.org/w28885639 →

Countries where authors are citing Introduction to linear and nonlinear programming

Specialization
Citations

This map shows the geographic impact of Introduction to linear and nonlinear programming. 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 Introduction to linear and nonlinear programming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Introduction to linear and nonlinear programming more than expected).

Fields of papers citing Introduction to linear and nonlinear programming

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Introduction to linear and nonlinear programming. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Introduction to linear and nonlinear programming.

About Introduction to linear and nonlinear programming

This paper, published in 1973, received 1.4k indexed citations . Written by David G. Luenberger covering the research area of Numerical Analysis. It is primarily cited by scholars working on Computational Theory and Mathematics (348 citations), Control and Systems Engineering (312 citations) and Numerical Analysis (282 citations). Published in Medical Entomology and Zoology.

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/w28885639.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026