Thomas Neumuth

3.9k total citations
188 papers, 1.9k citations indexed

About

Thomas Neumuth is a scholar working on Surgery, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Thomas Neumuth has authored 188 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Surgery, 38 papers in Biomedical Engineering and 28 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Thomas Neumuth's work include Surgical Simulation and Training (54 papers), Healthcare Technology and Patient Monitoring (25 papers) and Electronic Health Records Systems (22 papers). Thomas Neumuth is often cited by papers focused on Surgical Simulation and Training (54 papers), Healthcare Technology and Patient Monitoring (25 papers) and Electronic Health Records Systems (22 papers). Thomas Neumuth collaborates with scholars based in Germany, France and New Zealand. Thomas Neumuth's co-authors include Oliver Burgert, Stefan Franke, Jürgen Meixensberger, Pierre Jannin, Andreas Dietz, Claire Chalopin, Marianne Maktabi, Boris Jansen‐Winkeln, Christian A. Meissner and H. Köhler and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Scientific Reports.

In The Last Decade

Thomas Neumuth

167 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Neumuth Germany	24	903	446	322	238	229	188	1.9k
Ozanan R. Meireles United States	19	1.2k 1.3×	505 1.1×	357 1.1×	164 0.7×	125 0.5×	45	2.1k
Guy Rosman United States	22	888 1.0×	456 1.0×	332 1.0×	133 0.6×	543 2.4×	85	2.5k
Nicolas Padoy France	29	1.8k 2.0×	1.1k 2.5×	443 1.4×	252 1.1×	790 3.4×	124	3.1k
Knut Magne Augestad Norway	21	765 0.8×	193 0.4×	100 0.3×	219 0.9×	93 0.4×	55	1.5k
Pietro Mascagni France	21	876 1.0×	414 0.9×	238 0.7×	91 0.4×	137 0.6×	80	1.4k
Steven Dawson United States	19	478 0.5×	316 0.7×	168 0.5×	71 0.3×	96 0.4×	58	1.3k
Enrique J. Gómez Aguilera Spain	26	835 0.9×	650 1.5×	123 0.4×	254 1.1×	317 1.4×	178	2.4k
Hubertus Feußner Germany	40	3.5k 3.9×	723 1.6×	207 0.6×	155 0.7×	611 2.7×	253	4.9k
Mitchell G. Goldenberg Canada	15	474 0.5×	229 0.5×	60 0.2×	112 0.5×	148 0.6×	49	871
Steven C. Horii United States	20	456 0.5×	164 0.4×	724 2.2×	267 1.1×	193 0.8×	136	2.1k

Countries citing papers authored by Thomas Neumuth

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Neumuth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Neumuth

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

All Works

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20 of 20 papers shown

ElMoaqet, Hisham, et al.. (2025). Deep Learning Architectures for Single-Label and Multi-Label Surgical Tool Classification in Minimally Invasive Surgeries. Applied Sciences. 15(11). 6121–6121.

Schenk, Martin, et al.. (2024). Generation of a Realistic Synthetic Laryngeal Cancer Cohort for AI Applications. Cancers. 16(3). 639–639. 4 indexed citations

Kreuz, Markus, et al.. (2024). Predicting Progression Events in Multiple Myeloma from Routine Blood Work. Blood. 144(Supplement 1). 7476–7476.

Geisler, Daniela, Christian Voigt, Thomas Neumuth, et al.. (2023). Stroke survivors’ preferences on assessing patient-reported outcome measures. Journal of Patient-Reported Outcomes. 7(1). 124–124. 3 indexed citations

Schneider, Daniel J., et al.. (2023). Using Digital Twins to Support Multiple Stages of the Patient Journey. Studies in health technology and informatics. 301. 227–232. 9 indexed citations

Chalopin, Claire, H. Köhler, Nada Rayes, et al.. (2023). Spectral Similarity Measures for In Vivo Human Tissue Discrimination Based on Hyperspectral Imaging. Diagnostics. 13(2). 195–195. 3 indexed citations

Chalopin, Claire, et al.. (2023). Impact of Pre- and Post-Processing Steps for Supervised Classification of Colorectal Cancer in Hyperspectral Images. Cancers. 15(7). 2157–2157. 7 indexed citations

Chalopin, Claire, H. Köhler, Marianne Maktabi, et al.. (2023). Alternative intraoperative optical imaging modalities for fluorescence angiography in gastrointestinal surgery: spectral imaging and imaging photoplethysmography. Minimally Invasive Therapy & Allied Technologies. 32(5). 222–232. 2 indexed citations

Docherty, Paul D., et al.. (2023). A comparative evaluation of spatial pooling methods for surgical tool detection. SHILAP Revista de lepidopterología. 9(1). 214–217.

10.

Docherty, Paul D., et al.. (2023). Laparoscopic Video Analysis Using Temporal, Attention, and Multi-Feature Fusion Based-Approaches. Sensors. 23(4). 1958–1958. 8 indexed citations

11.

Dietz, Andreas, et al.. (2022). Clinical decision support models for oropharyngeal cancer treatment: design and evaluation of a multi-stage knowledge abstraction and formalization process. International Journal of Computer Assisted Radiology and Surgery. 17(9). 1643–1650. 1 indexed citations

12.

Nardini, Christine, Venet Osmani, Mauro Turrini, et al.. (2021). The Evolution of Personalized Healthcare and the Pivotal Role of European Regions in its Implementation. Personalized Medicine. 18(3). 283–294. 26 indexed citations

13.

Kubasch, Anne Sophie, et al.. (2021). Predicting Early Relapse for Patients with Multiple Myeloma through Machine Learning. Blood. 138(Supplement 1). 2953–2953. 4 indexed citations

14.

Franke, Stefan, et al.. (2019). Enabling artificial intelligence in high acuity medical environments. Minimally Invasive Therapy & Allied Technologies. 28(2). 120–126. 11 indexed citations

15.

Burgert, Oliver, et al.. (2017). Application of activity semantics and BPMN 2.0 in the generation and modeling of generic surgical process models. Reutlingen University Academic Bibliography (Reutlingen University). 5 indexed citations

16.

Zidowitz, Stephan, et al.. (2016). Influence of Image Quality on Semi-Automatic 3D Reconstructions of the Lateral Skull Base for Cochlear Implantation.. 129–134.

17.

Schmidt, Martin J., et al.. (2016). Towards and Information Presentation Model of a Situation-Aware Navigation System in Functional Endoscopic Sinus Surgery.. 27–32. 1 indexed citations

18.

Franke, Stefan, Daniel Schulz, Joerg Seeburger, Bernhard Preim, & Thomas Neumuth. (2013). A surgical assistance system for transcatheter aortic valve implantation based on a magic lens concept.. 165–168. 1 indexed citations

19.

Neumuth, Thomas, et al.. (2010). Model Driven Design of Workflow Schemata for the Operating Room of the Future.. GI Jahrestagung (1). 415–419. 2 indexed citations

20.

Neumuth, Thomas, Pierre Jannin, Juergen Meixensberger, et al.. (2006). Visualization Options for Surgical Workflows. HAL (Le Centre pour la Communication Scientifique Directe). 1. 438–440. 8 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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