Computational Mathematics
Impact in
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- Matrix Theory and Algorithms
- Signal Processing 29.9k
- Blind Source Separation Techniques
Also classified as
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- Matrix Theory and Algorithms 2.9k
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- Advanced Optimization Algorithms Research 727
Computational Mathematics
4.1k papers receiving 34.6k 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
14.2k papers covering Computational Mathematics have received a total of 298.2k indexed citations since 1950 . 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, Advanced Neuroimaging Techniques and Applications, Blind Source Separation Techniques, Parallel Computing and Optimization Techniques, Model Reduction and Neural Networks and Advanced Optimization Algorithms Research and also cover the fields of Computational Theory and Mathematics, Numerical Analysis, Signal Processing, Hardware and Architecture and Computational Mechanics. Papers citing work on Computational Mathematics are usually about Computational Theory and Mathematics, Signal Processing, Numerical Analysis, Computational Mechanics and Computer Vision and Pattern Recognition. Some of the most active scholars covering Computational Mathematics are Tamara G. Kolda, Brett W. Bader, Lieven De Lathauwer, Liqun Qi, Rasmus Bro, Ivan Oseledets, J. C. Gower, Richard A. Harshman, Andrzej Cichocki and J. Douglas Carroll.
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.