Thomas Schlossbauer

37 total papers · 483 total citations
25 papers, 343 citations indexed

About

Thomas Schlossbauer is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pathology and Forensic Medicine. According to data from OpenAlex, Thomas Schlossbauer has authored 25 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Artificial Intelligence and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Thomas Schlossbauer's work include MRI in cancer diagnosis (15 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and AI in cancer detection (7 papers). Thomas Schlossbauer is often cited by papers focused on MRI in cancer diagnosis (15 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and AI in cancer detection (7 papers). Thomas Schlossbauer collaborates with scholars based in Germany, United States and France. Thomas Schlossbauer's co-authors include Axel Wismüller, Gerda Leinsinger, Anke Meyer‐Baese, Maximilian F. Reiser, Mahesh Nagarajan, Markus Huber, Andrzej Król, Oliver Lange, Michael Scherr and O. Lange and has published in prestigious journals such as American Journal of Roentgenology, Physics in Medicine and Biology and European Radiology.

In The Last Decade

Thomas Schlossbauer

24 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 Schlossbauer 222 84 60 55 54 25 343
Taiki Magome 223 1.0× 43 0.5× 81 1.4× 16 0.3× 117 2.2× 37 391
Lalith Kumar Shiyam Sundar 280 1.3× 18 0.2× 103 1.7× 30 0.5× 44 0.8× 26 402
O. Rieker 171 0.8× 26 0.3× 37 0.6× 24 0.4× 13 0.2× 27 400
Don B. Plewes 207 0.9× 38 0.5× 147 2.5× 41 0.7× 21 0.4× 14 357
Karl Spuhler 268 1.2× 101 1.2× 56 0.9× 11 0.2× 9 0.2× 14 324
Kevin Leung 188 0.8× 32 0.4× 105 1.8× 15 0.3× 16 0.3× 17 376
Joshua V. Stough 133 0.6× 64 0.8× 70 1.2× 28 0.5× 29 0.5× 27 346
Shaojie Tang 181 0.8× 16 0.2× 164 2.7× 19 0.3× 27 0.5× 49 373
Nicholas J. Ferris 175 0.8× 17 0.2× 30 0.5× 64 1.2× 11 0.2× 27 403
André Mastmeyer 109 0.5× 31 0.4× 205 3.4× 8 0.1× 38 0.7× 22 360

Countries citing papers authored by Thomas Schlossbauer

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Schlossbauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Schlossbauer

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Schlossbauer. A scholar is included among the top collaborators of Thomas Schlossbauer 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 Schlossbauer. Thomas Schlossbauer 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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