John R. Cannon

146 papers and 4.2k indexed citations i.

About

John R. Cannon is a scholar working on Computational Theory and Mathematics, Applied Mathematics and Mathematical Physics. According to data from OpenAlex, John R. Cannon has authored 146 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computational Theory and Mathematics, 57 papers in Applied Mathematics and 56 papers in Mathematical Physics. Recurrent topics in John R. Cannon’s work include Advanced Mathematical Modeling in Engineering (60 papers), Inverse Problems in Mathematical Physics and Imaging (49 papers) and Differential Equations and Boundary Problems (47 papers). John R. Cannon is often cited by papers focused on Advanced Mathematical Modeling in Engineering (60 papers), Inverse Problems in Mathematical Physics and Imaging (49 papers) and Differential Equations and Boundary Problems (47 papers). John R. Cannon collaborates with scholars based in United States, Canada and Australia. John R. Cannon's co-authors include Paul DuChateau, Yanping Lin, Yanping Lin, Hong‐Ming Yin, John van der Hoek, C. Denson Hill, Shingmin Wang, Yuan Lin, K. Vajravelu and Mario Primicerio and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, IEEE Transactions on Automatic Control and Journal of Consulting and Clinical Psychology.

In The Last Decade

Co-authorship network of co-authors of John R. Cannon i

Fields of papers citing papers by John R. Cannon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Cannon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John R. Cannon. The network helps show where John R. Cannon may publish in the future.

Countries citing papers authored by John R. Cannon

Since Specialization
Citations

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