Swarm and Evolutionary Computation

69.8k citations
1.8k papers · · active since 1950

Impact in

Papers in

Swarm and Evolutionary Computation

1.6k papers receiving 68.2k citations

Peers

Swarm and Evolutionary Computation
Comparison fields: 5 of 211
  • Computational Theory and Mathematics 21.3k
  • Industrial and Manufacturing Engineering 12.1k
  • Artificial Intelligence 35.0k
  • Control and Systems Engineering 9.1k
  • Management Science and Operations Research 4.2k
Replace Artificial Intelligence Review with:
Artificial Intelligence Review China
Engineering Optimization China
IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans United States
IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) United States
International series in management science/operations research/International series in operations research & management science United States
Journal of Global Optimization United States
IEEE/CAA Journal of Automatica Sinica China
INFORMS journal on computing United States
Engineering With Computers United States
Archives of Computational Methods in Engineering India
Swarm and Evolutionary Computation relative to Artificial Intelligence Review China Artificial Intelligence Review's profile →
Citations per field
00.5×1.5×2.4×
Artificial Intelligence Review · 1×
Citations per year

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).

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.

About Swarm and Evolutionary Computation

The 1.8k papers published in Swarm and Evolutionary Computation in the last decades have received a total of 69.8k indexed citations . Papers published in Swarm and Evolutionary Computation usually cover Computational Theory and Mathematics (787 papers), Industrial and Manufacturing Engineering (374 papers), Artificial Intelligence (1.1k papers), Management Science and Operations Research (137 papers) and Control and Systems Engineering (189 papers) specifically the topics of Metaheuristic Optimization Algorithms Research (954 papers), Advanced Multi-Objective Optimization Algorithms (766 papers), Evolutionary Algorithms and Applications (523 papers), Scheduling and Optimization Algorithms (213 papers), Advanced Manufacturing and Logistics Optimization (179 papers), Vehicle Routing Optimization Methods (124 papers), Assembly Line Balancing Optimization (78 papers) and Optimal Experimental Design Methods (69 papers). The most active scholars publishing in Swarm and Evolutionary Computation are Ponnuthurai Nagaratnam Suganthan, Francisco Herrera, Daniel Molina, Salvador García, Joaquín Derrac, Yaochu Jin, Swagatam Das, Carlos A. Coello Coello, Seyedali Mirjalili and Boyang Qu.

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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