Computing

3.2k papers and 44.6k indexed citations i.

About

The 3.2k papers published in Computing in the last decades have received a total of 44.6k indexed citations. Papers published in Computing usually cover Computational Theory and Mathematics (985 papers), Numerical Analysis (709 papers) and Computer Networks and Communications (702 papers) specifically the topics of Matrix Theory and Algorithms (392 papers), Advanced Numerical Methods in Computational Mathematics (349 papers) and Numerical methods for differential equations (278 papers). The most active scholars publishing in Computing are Wolfgang Hackbusch, E. Fehlberg, Ivo Babuška, H. Späth, Lars Grasedyck, A. Volgenant, Michael Griebel, Peter Brucker, Boris N. Khoromskij and R. Krawczyk.

In The Last Decade

Fields of papers published in Computing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in 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 Computing.

Countries where authors publish in Computing

Since Specialization
Citations

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