Computational Theory and Mathematics

973.0k papers and 18.4M indexed citations i.

About

973.0k papers covering Computational Theory and Mathematics have received a total of 18.4M indexed citations since 1950. Papers on subfields are most often about the specific topic of Computational Drug Discovery Methods, Advanced Mathematical Modeling in Engineering and Matrix Theory and Algorithms and also cover the fields of Artificial Intelligence, Applied Mathematics and Geometry and Topology. Papers citing papers on subfields are usually about Artificial Intelligence, Molecular Biology and Control and Systems Engineering. Some of the most active scholars covering Computational Theory and Mathematics are George M. Sheldrick, Lotfi A. Zadeh, Seyedali Mirjalili, B. J. WINER, Tosio Kato, Kalyanmoy Deb, Shiing-Shen Chern, Arthur J. Olson, W. Minor and Zbyszek Otwinowski.

In The Last Decade

Fields of papers citing papers about Computational Theory and Mathematics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers covering Computational Theory and Mathematics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers covering Computational Theory and Mathematics.

Countries where authors publish papers about Computational Theory and Mathematics

Since Specialization
Citations

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