Computational Mathematics
Impact in
- Numerical Analysis 6.7k
- Signal Processing 11.1k
Also classified as
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- Matrix Theory and Algorithms 711
Computational Mathematics
3.3k papers receiving 28.4k citations
Countries where authors publish papers about Computational Mathematics
This map shows the geographic impact of research in Computational 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 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 Mathematics more than expected).
Fields of papers citing papers about Computational Mathematics
This network shows the impact of papers covering Computational 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 Mathematics.
About Computational Mathematics
10.6k papers covering Computational Mathematics have received a total of 263.1k indexed citations since 1951 . Papers on Computational Mathematics are most often about the specific topic of Tensor decomposition and applications, Matrix Theory and Algorithms, Sparse and Compressive Sensing Techniques, Face and Expression Recognition, Statistical Methods and Applications, Spectroscopy and Chemometric Analyses, Blind Source Separation Techniques and Advanced Combinatorial Mathematics and also cover the fields of Computational Theory and Mathematics, Numerical Analysis, Signal Processing, Discrete Mathematics and Combinatorics and Statistics and Probability. Papers citing work on Computational Mathematics are usually about Numerical Analysis, Signal Processing, Analytical Chemistry, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. Some of the most active scholars covering Computational Mathematics are Rasmus Bro, Tamara G. Kolda, Lieven De Lathauwer, Brett W. Bader, Pentti Paatero, Liqun Qi, Ledyard R Tucker, Ivan Valer'evich Oseledets, Richard A. Harshman and Andrzej S Cichocki.
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.