Computational Methods and Function Theory

695 papers and 3.8k indexed citations

About

The 695 papers published in Computational Methods and Function Theory in the last decades have received a total of 3.8k indexed citations. Papers published in Computational Methods and Function Theory usually cover Applied Mathematics (591 papers), Geometry and Topology (415 papers) and Mathematical Physics (123 papers) specifically the topics of Holomorphic and Operator Theory (309 papers), Analytic and geometric function theory (247 papers) and Meromorphic and Entire Functions (215 papers). The most active scholars publishing in Computational Methods and Function Theory are Darren Crowdy, Yu‐Ming Chu, Zai-Yin He, J. S. Marshall, Richard Delanghe, Tie‐Hong Zhao, Alan F. Beardon, Mohamed M. S. Nasser, Pekka Nieminen and Dmitry Khavinson.

In The Last Decade

Computational Methods and Function Theory

582 papers receiving 3.5k citations

Fields of papers published in Computational Methods and Function Theory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Computational Methods and Function Theory. 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 Computational Methods and Function Theory.

Countries where authors publish in Computational Methods and Function Theory

Since Specialization
Citations

This map shows the geographic impact of research published in Computational Methods and Function Theory. 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 Computational Methods and Function Theory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computational Methods and Function Theory 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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2026