Thomas M. Deserno

145 papers and 1.6k indexed citations i.

About

Thomas M. Deserno is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Thomas M. Deserno has authored 145 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computer Vision and Pattern Recognition, 28 papers in Biomedical Engineering and 27 papers in Artificial Intelligence. Recurrent topics in Thomas M. Deserno’s work include Image Retrieval and Classification Techniques (29 papers), AI in cancer detection (21 papers) and Non-Invasive Vital Sign Monitoring (20 papers). Thomas M. Deserno is often cited by papers focused on Image Retrieval and Classification Techniques (29 papers), AI in cancer detection (21 papers) and Non-Invasive Vital Sign Monitoring (20 papers). Thomas M. Deserno collaborates with scholars based in Germany, United States and India. Thomas M. Deserno's co-authors include Daniel Haak, L. Rodney Long, Mostafa Haghi, Sameer Antani, Stephan Jonas, Nagarajan Ganapathy, Ju Wang, Benedikt Fischer, Arnaldo de Albuquerque Araújo and Ramakrishnan Swaminathan and has published in prestigious journals such as PLoS ONE, Scientific Reports and Lab on a Chip.

In The Last Decade

Co-authorship network of co-authors of Thomas M. Deserno i

Fields of papers citing papers by Thomas M. Deserno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas M. Deserno. 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 Thomas M. Deserno. The network helps show where Thomas M. Deserno may publish in the future.

Countries citing papers authored by Thomas M. Deserno

Since Specialization
Citations

This map shows the geographic impact of Thomas M. Deserno'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 Thomas M. Deserno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas M. Deserno 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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2025