Thomas Kurmann

607 total citations
8 papers, 244 citations indexed

About

Thomas Kurmann is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Surgery. According to data from OpenAlex, Thomas Kurmann has authored 8 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Ophthalmology and 3 papers in Surgery. Recurrent topics in Thomas Kurmann's work include Retinal Imaging and Analysis (5 papers), Retinal Diseases and Treatments (4 papers) and Retinal and Optic Conditions (3 papers). Thomas Kurmann is often cited by papers focused on Retinal Imaging and Analysis (5 papers), Retinal Diseases and Treatments (4 papers) and Retinal and Optic Conditions (3 papers). Thomas Kurmann collaborates with scholars based in Switzerland, United States and Dominican Republic. Thomas Kurmann's co-authors include Raphael Sznitman, Sebastián Wolf, Martin S. Zinkernagel, Marion R. Munk, Xiaofei Du, Danail Stoyanov, John D. Kelly, Sébastien Ourselin, Pablo Márquez-Neila and Sandro De Zanet and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Medical Imaging and International Journal of Computer Assisted Radiology and Surgery.

In The Last Decade

Thomas Kurmann

8 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Kurmann Switzerland	6	120	102	93	81	66	8	244
Junjie Bai United States	7	146 1.2×	48 0.5×	92 1.0×	63 0.8×	111 1.7×	14	294
Nicolaas P. DeRuyter United States	4	236 2.0×	189 1.9×	79 0.8×	7 0.1×	45 0.7×	6	297
Lama Séoud Canada	9	291 2.4×	214 2.1×	55 0.6×	68 0.8×	157 2.4×	16	377
Gilberto Zamora United States	11	254 2.1×	204 2.0×	54 0.6×	17 0.2×	132 2.0×	34	360
Katia Charrière France	8	335 2.8×	247 2.4×	39 0.4×	65 0.8×	189 2.9×	15	462
Ayushi Sinha United States	9	25 0.2×	14 0.1×	40 0.4×	84 1.0×	158 2.4×	23	312
Faraz Oloumi Canada	13	357 3.0×	232 2.3×	92 1.0×	18 0.2×	143 2.2×	30	458
Ole Vilhelm Larsen Denmark	6	187 1.6×	147 1.4×	35 0.4×	28 0.3×	126 1.9×	19	268
Ashutosh Richhariya India	11	351 2.9×	348 3.4×	67 0.7×	11 0.1×	47 0.7×	37	484
Peter Pinto United States	7	71 0.6×	11 0.1×	86 0.9×	50 0.6×	22 0.3×	18	192

Countries citing papers authored by Thomas Kurmann

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Kurmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Kurmann

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

All Works

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8 of 8 papers shown

1.

Candinas, Daniel, et al.. (2023). Learning how to robustly estimate camera pose in endoscopic videos. International Journal of Computer Assisted Radiology and Surgery. 18(7). 1185–1192. 15 indexed citations

2.

Kurmann, Thomas, et al.. (2023). Predicting OCT biological marker localization from weak annotations. Scientific Reports. 13(1). 19667–19667. 2 indexed citations

3.

Munk, Marion R., Thomas Kurmann, Pablo Márquez-Neila, et al.. (2021). Assessment of patient specific information in the wild on fundus photography and optical coherence tomography. Scientific Reports. 11(1). 8621–8621. 16 indexed citations

4.

Munk, Marion R., Thomas Kurmann, Sandro De Zanet, et al.. (2021). Machine Learning Can Predict Anti–VEGF Treatment Demand in a Treat-and-Extend Regimen for Patients with Neovascular AMD, DME, and RVO Associated Macular Edema. Ophthalmology Retina. 5(7). 604–624. 55 indexed citations

5.

Kurmann, Thomas, Pablo Márquez-Neila, Max Allan, Sebastián Wolf, & Raphael Sznitman. (2021). Mask then classify: multi-instance segmentation for surgical instruments. International Journal of Computer Assisted Radiology and Surgery. 16(7). 1227–1236. 15 indexed citations

6.

Kurmann, Thomas, Pablo Márquez-Neila, Andreas Ebneter, et al.. (2019). Expert-level Automated Biomarker Identification in Optical Coherence Tomography Scans. Scientific Reports. 9(1). 13605–13605. 45 indexed citations

7.

Kurmann, Thomas, et al.. (2019). Automatic detection of retinal fluid in OCT volumes. 60(9). 1518–1518. 1 indexed citations

8.

Du, Xiaofei, Thomas Kurmann, Sébastien Ourselin, et al.. (2018). Articulated Multi-Instrument 2-D Pose Estimation Using Fully Convolutional Networks. IEEE Transactions on Medical Imaging. 37(5). 1276–1287. 95 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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