IMA Journal of Numerical Analysis

2.2k papers and 44.4k indexed citations i.

About

The 2.2k papers published in IMA Journal of Numerical Analysis in the last decades have received a total of 44.4k indexed citations. Papers published in IMA Journal of Numerical Analysis usually cover Computational Mechanics (1.2k papers), Computational Theory and Mathematics (920 papers) and Numerical Analysis (908 papers) specifically the topics of Advanced Numerical Methods in Computational Mathematics (936 papers), Advanced Mathematical Modeling in Engineering (497 papers) and Numerical methods for differential equations (400 papers). The most active scholars publishing in IMA Journal of Numerical Analysis are Nicholas J. Higham, Jonathan M. Borwein, Jonathan Barzilai, John P. Coleman, Charles M. Elliott, Arieh Iserles, Zhong‐Zhi Bai, M. Al-Baali, Marcos Raydan and Y. H. Dai.

In The Last Decade

Fields of papers published in IMA Journal of Numerical Analysis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in IMA Journal of Numerical Analysis. 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 IMA Journal of Numerical Analysis.

Countries where authors publish in IMA Journal of Numerical Analysis

Since Specialization
Citations

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