Jan Egger

5.9k total citations · 3 hit papers
164 papers, 2.9k citations indexed

About

Jan Egger is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jan Egger has authored 164 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Biomedical Engineering, 55 papers in Radiology, Nuclear Medicine and Imaging and 53 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jan Egger's work include Radiomics and Machine Learning in Medical Imaging (33 papers), Medical Image Segmentation Techniques (31 papers) and Anatomy and Medical Technology (28 papers). Jan Egger is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (33 papers), Medical Image Segmentation Techniques (31 papers) and Anatomy and Medical Technology (28 papers). Jan Egger collaborates with scholars based in Germany, Austria and China. Jan Egger's co-authors include Jianning Li, Xiaojun Chen, Christina Gsaxner, Christopher Nimsky, Jens Kleesiek, Bernd Freisleben, Antonio Pepe, Tina Kapur, Jürgen Wallner and Dieter Schmalstieg and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Jan Egger

153 papers receiving 2.9k citations

Hit Papers

ChatGPT in healthcare: A ... 2024 2026 2024 2024 2025 50 100 150
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.

  1. ChatGPT in healthcare: A taxonomy and systematic review
    2024 171 citations Jianning Li, Amin Dada et al. profile →
  2. CellViT: Vision Transformers for precise cell segmentation and classification
    2024 96 citations Constantin Seibold, Julius Keyl et al. Medical Image Analysis profile →
  3. Benefits, limits, and risks of ChatGPT in medicine
    2025 22 citations Jan Egger et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jan Egger 951 898 796 769 470 164 2.9k
Leo Joskowicz 1.2k 1.2× 1.0k 1.1× 1.2k 1.4× 812 1.1× 431 0.9× 225 3.9k
Mauricio Reyes 720 0.8× 1.4k 1.6× 429 0.5× 1.4k 1.9× 734 1.6× 154 4.0k
Pierre Jannin 1.0k 1.1× 1.1k 1.2× 1.6k 2.0× 666 0.9× 353 0.8× 177 3.9k
Mathias Unberath 898 0.9× 867 1.0× 636 0.8× 746 1.0× 217 0.5× 158 2.5k
Peter Kazanzides 3.3k 3.5× 1.3k 1.5× 2.1k 2.6× 919 1.2× 173 0.4× 242 5.6k
Dong Yang 870 0.9× 1.7k 1.9× 269 0.3× 1.7k 2.3× 1.3k 2.7× 75 3.8k
Ulaş Bağcı 636 0.7× 1.2k 1.3× 225 0.3× 2.1k 2.7× 934 2.0× 217 4.2k
Nicolas Padoy 1.1k 1.1× 790 0.9× 1.8k 2.3× 443 0.6× 345 0.7× 124 3.1k
Nobuhiko Hata 2.8k 2.9× 960 1.1× 1.4k 1.8× 1.4k 1.8× 138 0.3× 169 5.1k
Tina Kapur 586 0.6× 734 0.8× 323 0.4× 947 1.2× 238 0.5× 77 2.2k

Countries citing papers authored by Jan Egger

Since Specialization
Citations

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

Fields of papers citing papers by Jan Egger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Egger

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Egger. A scholar is included among the top collaborators of Jan Egger 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 Jan Egger. Jan Egger 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
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Sallam, Malik, et al.. (2024). Human versus Artificial Intelligence: ChatGPT-4 Outperforming Bing, Bard, ChatGPT-3.5 and Humans in Clinical Chemistry Multiple-Choice Questions. Advances in Medical Education and Practice. Volume 15. 857–871. 8 indexed citations
5.
Pepe, Antonio, et al.. (2024). A semi‐automatic method for block‐structured hexahedral meshing of aortic dissections. International Journal for Numerical Methods in Biomedical Engineering. 40(11). e3860–e3860. 3 indexed citations
6.
Zhu, Wentao, Yuan Jin, Geng Chen, et al.. (2024). Classification of lung cancer subtypes on CT images with synthetic pathological priors. Medical Image Analysis. 95. 103199–103199. 6 indexed citations
7.
Wild, Daniel, et al.. (2024). Deep Learning-Based Point Cloud Registration for Augmented Reality-Guided Surgery. Universitätsbibliographie, Universität Duisburg-Essen. 1–5. 1 indexed citations
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Jäger, Paul F., et al.. (2024). Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 10998–11018. 8 indexed citations
9.
Puladi, Behrus, et al.. (2024). Generalisation of Segmentation Using Generative Adversarial Networks. Universitätsbibliographie, Universität Duisburg-Essen. 1–4.
10.
Kleesiek, Jens, et al.. (2024). A Baseline Solution for the ISBI 2024 Dreaming Challenge. Universitätsbibliographie, Universität Duisburg-Essen. 1–3. 1 indexed citations
11.
Pepe, Antonio, Jens Kleesiek, Johannes Schmid, et al.. (2024). Type B Aortic Dissection CTA Collection with True and False Lumen Expert Annotations for the Development of AI-based Algorithms. Scientific Data. 11(1). 596–596. 3 indexed citations
12.
Seibold, Constantin, Julius Keyl, Giulia Baldini, et al.. (2024). CellViT: Vision Transformers for precise cell segmentation and classification. Medical Image Analysis. 94. 103143–103143. 96 indexed citations breakdown →
13.
Mueller, Christian A., Jan Egger, Frank Hölzle, et al.. (2024). Accuracy and efficiency of drilling trajectories with augmented reality versus conventional navigation randomized crossover trial. npj Digital Medicine. 7(1).
14.
Ting, Saskia, Sven‐Thorsten Liffers, Kelsey L. Pomykala, et al.. (2023). Histology-Based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep Learning. JCO Clinical Cancer Informatics. 7(7). e2300038–e2300038. 6 indexed citations
15.
Kim, Moon, Robert Seifert, David Kersting, et al.. (2023). Evaluation of thresholding methods for the quantification of [68Ga]Ga-PSMA-11 PET molecular tumor volume and their effect on survival prediction in patients with advanced prostate cancer undergoing [177Lu]Lu-PSMA-617 radioligand therapy. European Journal of Nuclear Medicine and Molecular Imaging. 50(7). 2196–2209. 12 indexed citations
16.
Dada, Amin, Moon Kim, Michael Forsting, et al.. (2023). Information extraction from weakly structured radiological reports with natural language queries. European Radiology. 34(1). 330–337. 7 indexed citations
17.
Egger, Jan, Andrea Bönsch, Joep Kraeima, et al.. (2023). Accuracy and Precision of Mandible Segmentation and Its Clinical Implications: Virtual Reality, Desktop Screen and Artificial Intelligence. Expert Systems with Applications. 239. 122275–122275. 9 indexed citations
18.
Li, Jianning, A.J.M. Ferreira, Behrus Puladi, et al.. (2023). Open-source skull reconstruction with MONAI. SoftwareX. 23. 101432–101432. 2 indexed citations
19.
Egger, Jan, et al.. (2022). A review on AI-based medical image computing in head and neck surgery. Physics in Medicine and Biology. 67(17). 17TR01–17TR01. 22 indexed citations
20.
Li, Jianning, Antonio Pepe, Christina Gsaxner, et al.. (2021). MUG500+: Database of 500 high-resolution healthy human skulls and 29 craniotomy skulls and implants. SHILAP Revista de lepidopterología. 39. 107524–107524. 15 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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