Daniel Potts

118 papers and 2.2k indexed citations i.

About

Daniel Potts is a scholar working on Computational Mechanics, Applied Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Potts has authored 118 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computational Mechanics, 30 papers in Applied Mathematics and 28 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Potts’s work include Image and Signal Denoising Methods (25 papers), Mathematical Approximation and Integration (16 papers) and Electromagnetic Scattering and Analysis (16 papers). Daniel Potts is often cited by papers focused on Image and Signal Denoising Methods (25 papers), Mathematical Approximation and Integration (16 papers) and Electromagnetic Scattering and Analysis (16 papers). Daniel Potts collaborates with scholars based in Germany, United States and United Kingdom. Daniel Potts's co-authors include Stefan Kunis, Manfred Tasche, Jens Keiner, Gabriele Steidl, Gabriele Steidl, Manuel Gräf, I. B. Wilson, Toni Volkmer, Paul A. Racey and Lutz Kämmerer and has published in prestigious journals such as Nature, Development and Journal of Computational Physics.

In The Last Decade

Co-authorship network of co-authors of Daniel Potts i

Fields of papers citing papers by Daniel Potts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Potts. 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 Daniel Potts. The network helps show where Daniel Potts may publish in the future.

Countries citing papers authored by Daniel Potts

Since Specialization
Citations

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