Natural Computing

986 papers and 12.6k indexed citations i.

About

The 986 papers published in Natural Computing in the last decades have received a total of 12.6k indexed citations. Papers published in Natural Computing usually cover Molecular Biology (431 papers), Artificial Intelligence (394 papers) and Computational Theory and Mathematics (317 papers) specifically the topics of DNA and Biological Computing (304 papers), Advanced biosensing and bioanalysis techniques (193 papers) and Metaheuristic Optimization Algorithms Research (163 papers). The most active scholars publishing in Natural Computing are Hans–Paul Schwefel, Hans-Georg Beyer, Michael N. Vrahatis, Konstantinos E. Parsopoulos, Alec Banks, Jonathan Vincent, Michael Emmerich, André Deutz, Hossein Nezamabadi‐pour and Saeı̈d Saryazdi.

In The Last Decade

Fields of papers published in Natural Computing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Natural Computing. 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 Natural Computing.

Countries where authors publish in Natural Computing

Since Specialization
Citations

This map shows the geographic impact of research published in Natural Computing. 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 Natural Computing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natural Computing 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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2025