Evolutionary programming techniques for economic load dispatch
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doi.org/10.1109/tevc.2002.806788 →Countries where authors are citing Evolutionary programming techniques for economic load dispatch
This map shows the geographic impact of Evolutionary programming techniques for economic load dispatch. 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 Evolutionary programming techniques for economic load dispatch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evolutionary programming techniques for economic load dispatch more than expected).
Fields of papers citing Evolutionary programming techniques for economic load dispatch
This network shows the impact of Evolutionary programming techniques for economic load dispatch. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Evolutionary programming techniques for economic load dispatch.
About Evolutionary programming techniques for economic load dispatch
This paper, published in 2003, received 1.0k indexed citations . Written by Nidul Sinha, R. Chakrabarti and Pabitra Chattopadhyay covering the research area of Artificial Intelligence and Electrical and Electronic Engineering. It is primarily cited by scholars working on Electrical and Electronic Engineering (974 citations), Control and Systems Engineering (204 citations), Artificial Intelligence (138 citations), Computational Theory and Mathematics (42 citations) and Energy Engineering and Power Technology (28 citations). Published in IEEE Transactions on Evolutionary Computation.
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/tevc.2002.806788.