Evolving Systems

629 papers and 6.5k indexed citations
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About

The 629 papers published in Evolving Systems in the last decades have received a total of 6.5k indexed citations. Papers published in Evolving Systems usually cover Artificial Intelligence (324 papers), Computer Vision and Pattern Recognition (142 papers) and Signal Processing (76 papers) specifically the topics of Neural Networks and Applications (78 papers), Metaheuristic Optimization Algorithms Research (63 papers) and Fuzzy Logic and Control Systems (51 papers). The most active scholars publishing in Evolving Systems are Edwin Lughofer, A. Helen Victoria, G. Maragatham, Ammar Shaker, Fernando Gomide, Nikola Kasabov, Noradin Ghadimi, Igor Škrjanc, Sheng Chen and Haibo He.

In The Last Decade

Evolving Systems

544 papers receiving 6.2k citations

Fields of papers published in Evolving Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Evolving Systems. 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 Evolving Systems.

Countries where authors publish in Evolving Systems

Since Specialization
Citations

This map shows the geographic impact of research published in Evolving Systems. 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 Evolving Systems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evolving Systems 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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