Thomas Dratsch

1.2k total citations · 1 hit paper
40 papers, 673 citations indexed

About

Thomas Dratsch is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Health Informatics. According to data from OpenAlex, Thomas Dratsch has authored 40 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Surgery and 11 papers in Health Informatics. Recurrent topics in Thomas Dratsch's work include Artificial Intelligence in Healthcare and Education (11 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Advanced MRI Techniques and Applications (5 papers). Thomas Dratsch is often cited by papers focused on Artificial Intelligence in Healthcare and Education (11 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Advanced MRI Techniques and Applications (5 papers). Thomas Dratsch collaborates with scholars based in Germany, United States and Netherlands. Thomas Dratsch's co-authors include David Maintz, Daniel Pinto dos Santos, Simon Lennartz, Thorsten Persigehl, Andra-Iza Iuga, Alexander C. Bunck, Roman Johannes Gertz, Jonathan Kottlors, Bettina Baeßler and Mohammad Hosein Rezazade Mehrizi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Thomas Dratsch

35 papers receiving 663 citations

Hit Papers

GPT-4 for Automated Determination of Radiologic Study and... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Dratsch Germany 13 302 284 131 97 84 40 673
Giovanni Briganti Belgium 13 232 0.8× 173 0.6× 152 1.2× 62 0.6× 49 0.6× 45 942
Rohaid Ali United States 12 371 1.2× 210 0.7× 121 0.9× 100 1.0× 49 0.6× 34 727
Abhimanyu S. Ahuja United States 9 254 0.8× 212 0.7× 121 0.9× 40 0.4× 73 0.9× 30 704
Christopher A. Lovejoy United Kingdom 9 335 1.1× 306 1.1× 238 1.8× 48 0.5× 65 0.8× 14 844
P. Chłosta Poland 9 283 0.9× 131 0.5× 116 0.9× 168 1.7× 64 0.8× 23 662
Charlene Liew Singapore 11 208 0.7× 336 1.2× 98 0.7× 44 0.5× 81 1.0× 15 521
Rawan AlSaad Qatar 11 277 0.9× 137 0.5× 173 1.3× 17 0.2× 45 0.5× 30 664
Changyu Wang United States 6 450 1.5× 204 0.7× 208 1.6× 45 0.5× 23 0.3× 12 764
Bernadette Richards Australia 11 125 0.4× 93 0.3× 86 0.7× 85 0.9× 33 0.4× 68 563
Alexander Merritt United States 5 248 0.8× 155 0.5× 93 0.7× 74 0.8× 89 1.1× 7 436

Countries citing papers authored by Thomas Dratsch

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Dratsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Dratsch

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Dratsch. A scholar is included among the top collaborators of Thomas Dratsch 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 Dratsch. Thomas Dratsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Meyer, Franziska, Pascale Bernard, Carola Heneweer, et al.. (2025). Spectral CT imaging for assessment of metastases in melanoma patients: multi-reader evaluation. Cancer Imaging. 25(1). 74–74. 1 indexed citations
2.
Gertz, Roman Johannes, Lukas Goertz, Stephan Skornitzke, et al.. (2025). Sub-1-min relaxation-enhanced non-contrast non-triggered cervical MRA using compressed SENSE with deep learning reconstruction in healthy volunteers. European Radiology Experimental. 9(1). 19–19. 1 indexed citations
3.
Dratsch, Thomas, et al.. (2025). The Influence of Artificial Intelligence Autonomy on Physicians Work Outcomes in Healthcare: A Lab-in-the-Field Experiment. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 1 indexed citations
5.
Iuga, Andra-Iza, Simon Lennartz, Carsten Gietzen, et al.. (2025). GPT-4 for automated sequence-level determination of MRI protocols based on radiology request forms from clinical routine. European Radiology. 36(2). 1541–1552.
6.
Gertz, Roman Johannes, Thomas Dratsch, Simon Lennartz, et al.. (2025). From dictation to diagnosis: enhancing radiology reporting with integrated speech recognition in multimodal large language models. European Radiology. 36(2). 1553–1561. 1 indexed citations
7.
Dratsch, Thomas, Kilian Weiss, Robert Peter Reimer, et al.. (2024). Five-minute knee MRI: An AI-based super resolution reconstruction approach for compressed sensing. A validation study on healthy volunteers. European Journal of Radiology. 175. 111418–111418. 15 indexed citations
8.
Gertz, Roman Johannes, Thomas Dratsch, Alexander C. Bunck, et al.. (2024). Potential of GPT-4 for Detecting Errors in Radiology Reports: Implications for Reporting Accuracy. Radiology. 311(1). e232714–e232714. 60 indexed citations
9.
Dratsch, Thomas, et al.. (2024). Reconstruction of 3D knee MRI using deep learning and compressed sensing: a validation study on healthy volunteers. European Radiology Experimental. 8(1). 47–47. 9 indexed citations
10.
Dratsch, Thomas, Mohammad Hosein Rezazade Mehrizi, Roman Kloeckner, et al.. (2023). Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance. Radiology. 307(4). e222176–e222176. 125 indexed citations
11.
Hahn, Paul, Daniel Pinto dos Santos, Thomas Dratsch, et al.. (2023). Closing the loop for AI-ready radiology. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 196(2). 154–162. 1 indexed citations
12.
Auer, Timo Alexander, Bernhard Gebauer, Roman Kloeckner, et al.. (2023). Embolization of active arterial bleeding in COVID-19 patients: A multicenter study. European Journal of Radiology. 165. 110892–110892.
13.
Lorenz, F.W., Stefanie Brunner, Felix Berlth, et al.. (2022). Using an Endoluminal Functional Lumen Imaging Probe (EndoFLIP™) to Compare Pyloric Function in Patients with Gastroparesis to Patients After Esophagectomy. Journal of Gastrointestinal Surgery. 27(4). 682–690. 3 indexed citations
14.
Lennartz, Simon, Thomas Dratsch, David Zopfs, et al.. (2020). Use and Control of Artificial Intelligence in Patients Across the Medical Workflow: Single-Center Questionnaire Study of Patient Perspectives. Journal of Medical Internet Research. 23(2). e24221–e24221. 90 indexed citations
15.
Dratsch, Thomas, Michael Korenkov, David Zopfs, et al.. (2020). Practical applications of deep learning: classifying the most common categories of plain radiographs in a PACS using a neural network. European Radiology. 31(4). 1812–1818. 5 indexed citations
16.
Dratsch, Thomas, Liliana Caldeira, David Maintz, & Daniel Pinto dos Santos. (2020). Artificial intelligence abstracts from the European Congress of Radiology: analysis of topics and compliance with the STARD for abstracts checklist. Insights into Imaging. 11(1). 59–59. 8 indexed citations
17.
Chon, Seung‐Hun, Thomas Dratsch, Nikolai Schuelper, et al.. (2019). Serious Games in Surgical Medical Education: A Virtual Emergency Department as a Tool for Teaching Clinical Reasoning to Medical Students. JMIR Serious Games. 7(1). e13028–e13028. 45 indexed citations
18.
Chon, Seung‐Hun, Thomas Dratsch, Patrick Sven Plum, et al.. (2018). Web-Based Immersive Patient Simulator as a Curricular Tool for Objective Structured Clinical Examination Preparation in Surgery: Development and Evaluation. JMIR Serious Games. 6(3). e10693–e10693. 9 indexed citations
19.
Bente, Gary, et al.. (2014). Cultures of Trust: Effects of Avatar Faces and Reputation Scores on German and Arab Players in an Online Trust-Game. PLoS ONE. 9(6). e98297–e98297. 34 indexed citations
20.
Schwartz, Caroline, Thomas Dratsch, Kai Vogeley, & Gary Bente. (2013). Brief Report: Impression Formation in High-Functioning Autism: Role of Nonverbal Behavior and Stereotype Activating Information. Journal of Autism and Developmental Disorders. 44(7). 1759–1765. 4 indexed citations

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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