Simon Köhl

50.3k total citations · 1 hit paper
11 papers, 585 citations indexed

About

Simon Köhl is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Simon Köhl has authored 11 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Simon Köhl's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers) and Prostate Cancer Treatment and Research (3 papers). Simon Köhl is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers) and Prostate Cancer Treatment and Research (3 papers). Simon Köhl collaborates with scholars based in Germany, United States and Mexico. Simon Köhl's co-authors include Klaus Maier‐Hein, Tristan Anselm Kuder, David Bonekamp, Manuel Wiesenfarth, Markus Hohenfellner, Patrick Schelb, Jan Philipp Radtke, Philipp Kickingereder, Fabian Isensee and Sebastian Bickelhaupt and has published in prestigious journals such as Radiology, physica status solidi (b) and Magnetic Resonance Imaging.

In The Last Decade

Simon Köhl

11 papers receiving 576 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment

2019 230 citations Patrick Schelb, Simon Köhl et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Simon Köhl Germany	7	418	315	147	111	90	11	585
Xinran Zhong United States	8	266 0.6×	224 0.7×	140 1.0×	95 0.9×	82 0.9×	24	422
José Raniery Ferreira Brazil	12	382 0.9×	221 0.7×	146 1.0×	51 0.5×	103 1.1×	29	554
Oscar A. Debats Netherlands	10	313 0.7×	441 1.4×	154 1.0×	193 1.7×	105 1.2×	18	655
Fatemeh Zabihollahy Canada	12	314 0.8×	144 0.5×	67 0.5×	87 0.8×	142 1.6×	27	431
Sergei V. Fotin United States	9	203 0.5×	176 0.6×	165 1.1×	50 0.5×	59 0.7×	15	335
Sohrab Afshari Mirak United States	15	438 1.0×	597 1.9×	143 1.0×	136 1.2×	90 1.0×	24	876
Matteo Maspero Netherlands	18	835 2.0×	249 0.8×	78 0.5×	150 1.4×	309 3.4×	45	1.1k
Patrick Schelb Germany	6	379 0.9×	355 1.1×	99 0.7×	38 0.3×	68 0.8×	6	483
Brent van der Heyden Netherlands	12	407 1.0×	219 0.7×	60 0.4×	52 0.5×	211 2.3×	33	591

Countries citing papers authored by Simon Köhl

Since Specialization

Citations

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

Fields of papers citing papers by Simon Köhl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Köhl

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

All Works

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11 of 11 papers shown

1.

Koehler, Gregor, Tassilo Wald, Constantin Ulrich, et al.. (2024). RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement. FreiDok plus (Universitätsbibliothek Freiburg). 799–807. 1 indexed citations

2.

Schelb, Patrick, Simon Köhl, Jan Philipp Radtke, et al.. (2021). Improvement of PI-RADS-dependent prostate cancer classification by quantitative image assessment using radiomics or mean ADC. Magnetic Resonance Imaging. 82. 9–17. 18 indexed citations

3.

Isensee, Fabian, et al.. (2020). pretrained models for 3D semantic image segmentation with nnU-Net. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

4.

Isensee, Fabian, Paul F. Jäger, Jakob Wasserthal, et al.. (2020). batchgenerators - a python framework for data augmentation. Zenodo (CERN European Organization for Nuclear Research). 37 indexed citations

5.

Jaeger, Paul F., Simon Köhl, Sebastian Bickelhaupt, et al.. (2020). Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection. 171–183. 38 indexed citations

6.

Schelb, Patrick, Simon Köhl, Jan Philipp Radtke, et al.. (2019). Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment. Radiology. 293(3). 607–617. 230 indexed citations breakdown →

7.

Isensee, Fabian, Jens Petersen, Simon Köhl, Paul F. Jäger, & Klaus Maier‐Hein. (2019). nnU-Net: Breaking the Spell on Successful Medical Image Segmentation.. arXiv (Cornell University). 84 indexed citations

8.

Isensee, Fabian, Simon Köhl, Nils Beisemann, et al.. (2019). Computer-assisted intra-operative verification of surgical outcome for the treatment of syndesmotic injuries through contralateral side comparison. International Journal of Computer Assisted Radiology and Surgery. 14(12). 2211–2220. 2 indexed citations

9.

Bonekamp, David, Simon Köhl, Manuel Wiesenfarth, et al.. (2018). Radiomic Machine Learning for Characterization of Prostate Lesions with MRI: Comparison to ADC Values. Radiology. 289(1). 128–137. 156 indexed citations

10.

Zimmerer, David, Simon Köhl, Jens Petersen, Fabian Isensee, & Klaus Maier‐Hein. (2018). Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection. 1 indexed citations

11.

Köhl, Simon, R.L. Restrepo, M.E. Mora‐Ramos, & C.A. Duque. (2015). Shallow‐impurity‐related binding energy and linear optical absorption in ring‐shaped quantum dots and quantum‐well wires under applied electric field. physica status solidi (b). 252(4). 786–794. 17 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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