Differential Evolution as Applied to Electromagnetics

418 indexed citations
published 2011

Countries where authors are citing Differential Evolution as Applied to Electromagnetics

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This map shows the geographic impact of Differential Evolution as Applied to Electromagnetics. 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 Differential Evolution as Applied to Electromagnetics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Differential Evolution as Applied to Electromagnetics more than expected).

Fields of papers citing Differential Evolution as Applied to Electromagnetics

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Differential Evolution as Applied to Electromagnetics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Differential Evolution as Applied to Electromagnetics.

About Differential Evolution as Applied to Electromagnetics

This paper, published in 2011, received 418 indexed citations . Written by Paolo Rocca, Giacomo Oliveri and Andrea Massa covering the research area of Aerospace Engineering and Electrical and Electronic Engineering. It is primarily cited by scholars working on Electrical and Electronic Engineering (181 citations), Aerospace Engineering (175 citations) and Artificial Intelligence (83 citations). Published in IEEE Antennas and Propagation Magazine.

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/10.1109/map.2011.5773566.

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