Nonlinear and Mixed-Integer Optimization: Fundamentals and Applications

704 indexed citations
published 1995
Journal
Medical Entomology and Zoology

In The Last Decade

doi.org/w86902028 →

Countries where authors are citing Nonlinear and Mixed-Integer Optimization: Fundamentals and Applications

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Citations

This map shows the geographic impact of Nonlinear and Mixed-Integer Optimization: Fundamentals and Applications. 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 Nonlinear and Mixed-Integer Optimization: Fundamentals and Applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nonlinear and Mixed-Integer Optimization: Fundamentals and Applications more than expected).

Fields of papers citing Nonlinear and Mixed-Integer Optimization: Fundamentals and Applications

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Nonlinear and Mixed-Integer Optimization: Fundamentals and Applications. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Nonlinear and Mixed-Integer Optimization: Fundamentals and Applications.

About Nonlinear and Mixed-Integer Optimization: Fundamentals and Applications

This paper, published in 1995, received 704 indexed citations . Written by Christodoulos A. Floudas covering the research area of Control and Systems Engineering. It is primarily cited by scholars working on Control and Systems Engineering (314 citations), Electrical and Electronic Engineering (236 citations) and Computational Theory and Mathematics (88 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/w86902028.

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