Inverse Problems

4.3k papers and 111.9k indexed citations

About

The 4.3k papers published in Inverse Problems in the last decades have received a total of 111.9k indexed citations. Papers published in Inverse Problems usually cover Mathematical Physics (2.4k papers), Biomedical Engineering (1.3k papers) and Computational Theory and Mathematics (761 papers) specifically the topics of Numerical methods in inverse problems (2.2k papers), Microwave Imaging and Scattering Analysis (897 papers) and Advanced Mathematical Modeling in Engineering (591 papers). The most active scholars publishing in Inverse Problems are Simon Arridge, Charles L. Byrne, Andreas Kirsch, Masahiro Yamamoto, Hong‐Kun Xu, David Colton, Richard Bamler, Philipp Hartl, Liliana Borcea and Emmanuel J. Candès.

In The Last Decade

Inverse Problems

4.1k papers receiving 101.7k citations

Peers

Inverse Problems
Comparison fields: 5 of 210
  • Mathematical Physics 46.3k
  • Biomedical Engineering 34.4k
  • Mechanics of Materials 21.2k
  • Computational Theory and Mathematics 19.7k
  • Computational Mechanics 15.1k
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Citations per field, relative to Inverse Problems
Inverse Problems · 1×
Citations per year, relative to Inverse Problems
Inverse Problems · 1×

Countries where authors publish in Inverse Problems

Since Specialization
Citations

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

Fields of papers published in Inverse Problems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Inverse Problems. 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 Inverse Problems.

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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