Thomas Koesters

24 total papers · 474 total citations
14 papers, 343 citations indexed

About

Thomas Koesters is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Biomedical Engineering. According to data from OpenAlex, Thomas Koesters has authored 14 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Radiation and 4 papers in Biomedical Engineering. Recurrent topics in Thomas Koesters's work include Medical Imaging Techniques and Applications (14 papers), Advanced MRI Techniques and Applications (9 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Thomas Koesters is often cited by papers focused on Medical Imaging Techniques and Applications (14 papers), Advanced MRI Techniques and Applications (9 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Thomas Koesters collaborates with scholars based in United States, Belgium and Austria. Thomas Koesters's co-authors include Fernando E. Boada, David Faul, Kent Friedman, Gerardo Hermosillo, Yiqiang Zhan, Daniel K. Sodickson, Florian Knöll, Ricardo Otazo, Kristian Bredies and Martin Höller and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Journal of Nuclear Medicine and IEEE Transactions on Nuclear Science.

In The Last Decade

Thomas Koesters

14 papers receiving 339 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Thomas Koesters 311 91 46 27 20 14 343
Anthony R. Ricci 252 0.8× 59 0.6× 66 1.4× 32 1.2× 46 2.3× 18 393
Amaresha Shridhar Konar 249 0.8× 67 0.7× 11 0.2× 29 1.1× 29 1.4× 18 315
Catherine Westbrook 180 0.6× 51 0.6× 36 0.8× 23 0.9× 17 0.8× 15 327
Éric Van Reeth 181 0.6× 46 0.5× 34 0.7× 19 0.7× 22 1.1× 18 307
Martín A. Belzunce 249 0.8× 123 1.4× 51 1.1× 11 0.4× 9 0.5× 32 366
Hui Xue 309 1.0× 59 0.6× 14 0.3× 11 0.4× 73 3.6× 14 357
Jens Langner 317 1.0× 41 0.5× 42 0.9× 41 1.5× 9 0.5× 14 376
Christopher M. Sandino 295 0.9× 75 0.8× 10 0.2× 9 0.3× 37 1.9× 23 382
Markus Kotas 283 0.9× 35 0.4× 16 0.3× 22 0.8× 73 3.6× 12 328
Taohui Xiao 314 1.0× 93 1.0× 27 0.6× 20 0.7× 35 1.8× 14 375

Countries citing papers authored by Thomas Koesters

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Koesters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Koesters

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Koesters. A scholar is included among the top collaborators of Thomas Koesters based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Koesters. Thomas Koesters is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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