IEEE Transactions on Evolutionary Computation

1.9k papers and 211.3k indexed citations
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About

The 1.9k papers published in IEEE Transactions on Evolutionary Computation in the last decades have received a total of 211.3k indexed citations. Papers published in IEEE Transactions on Evolutionary Computation usually cover Artificial Intelligence (1.4k papers), Computational Theory and Mathematics (938 papers) and Management Science and Operations Research (185 papers) specifically the topics of Metaheuristic Optimization Algorithms Research (1.1k papers), Evolutionary Algorithms and Applications (909 papers) and Advanced Multi-Objective Optimization Algorithms (892 papers). The most active scholars publishing in IEEE Transactions on Evolutionary Computation are Kalyanmoy Deb, Sakshi Agarwal, Amrit Pratap, Qingfu Zhang, William G. Macready, David H. Wolpert, Xin Yao, Hui Li, Ponnuthurai Nagaratnam Suganthan and Eckart Zitzler.

In The Last Decade

IEEE Transactions on Evolutionary Computation

1.8k papers receiving 199.7k citations

Fields of papers published in IEEE Transactions on Evolutionary Computation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in IEEE Transactions on Evolutionary Computation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in IEEE Transactions on Evolutionary Computation.

Countries where authors publish in IEEE Transactions on Evolutionary Computation

Since Specialization
Citations

This map shows the geographic impact of research published in IEEE Transactions on Evolutionary Computation. 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 papers published in IEEE Transactions on Evolutionary Computation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites IEEE Transactions on Evolutionary Computation more than expected).

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.

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