Swarm and Evolutionary Computation

1.6k papers and 53.4k indexed citations i.

About

The 1.6k papers published in Swarm and Evolutionary Computation in the last decades have received a total of 53.4k indexed citations. Papers published in Swarm and Evolutionary Computation usually cover Artificial Intelligence (976 papers), Computational Theory and Mathematics (700 papers) and Industrial and Manufacturing Engineering (316 papers) specifically the topics of Metaheuristic Optimization Algorithms Research (872 papers), Advanced Multi-Objective Optimization Algorithms (683 papers) and Evolutionary Algorithms and Applications (481 papers). The most active scholars publishing in Swarm and Evolutionary Computation are Ponnuthurai Nagaratnam Suganthan, Francisco Herrera, Salvador García, Daniel Molina, Joaquín Derrac, Yaochu Jin, Swagatam Das, Carlos A. Coello Coello, Seyedali Mirjalili and Boyang Qu.

In The Last Decade

Fields of papers published in Swarm and Evolutionary Computation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Swarm and 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 Swarm and Evolutionary Computation.

Countries where authors publish in Swarm and Evolutionary Computation

Since Specialization
Citations

This map shows the geographic impact of research published in Swarm and 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 Swarm and 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 Swarm and 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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