Network Optimization: Continuous and Discrete Models

507 indexed citations

Abstract

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About

This paper, published in 1998, received 507 indexed citations. Written by Dimitri P. Bertsekas covering the research area of Computer Networks and Communications, Industrial and Manufacturing Engineering and Management Science and Operations Research. It is primarily cited by scholars working on Computer Networks and Communications (253 citations), Electrical and Electronic Engineering (160 citations) and Artificial Intelligence (54 citations). Published in Medical Entomology and Zoology.

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Countries where authors are citing Network Optimization: Continuous and Discrete Models

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

Fields of papers citing Network Optimization: Continuous and Discrete Models

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Network Optimization: Continuous and Discrete Models. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Network Optimization: Continuous and Discrete Models.

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/w37845748.

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