Manuel Günther

1.8k total citations
42 papers, 917 citations indexed

About

Manuel Günther is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Manuel Günther has authored 42 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 12 papers in Signal Processing. Recurrent topics in Manuel Günther's work include Face and Expression Recognition (15 papers), Face recognition and analysis (14 papers) and Biometric Identification and Security (7 papers). Manuel Günther is often cited by papers focused on Face and Expression Recognition (15 papers), Face recognition and analysis (14 papers) and Biometric Identification and Security (7 papers). Manuel Günther collaborates with scholars based in United States, Switzerland and Germany. Manuel Günther's co-authors include Terrance E. Boult, Akshay Raj Dhamija, Sébastien Marcel, Ferenc Hutterer, H. Pichlmaier, R Theiss, G. Bueß, Andras Rozsa, Chris McCool and André Anjos and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Medical Physics and Pattern Recognition Letters.

In The Last Decade

Manuel Günther

40 papers receiving 887 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Günther United States 15 335 332 221 144 141 42 917
Feng Yang China 15 249 0.7× 253 0.8× 79 0.4× 25 0.2× 59 0.4× 87 796
Hélder P. Oliveira Portugal 20 173 0.5× 251 0.8× 82 0.4× 127 0.9× 64 0.5× 94 916
Yujun Li China 15 206 0.6× 209 0.6× 77 0.3× 224 1.6× 54 0.4× 143 1.0k
Tianyi Li China 13 525 1.6× 90 0.3× 379 1.7× 44 0.3× 17 0.1× 33 899
Evgin Göçeri Türkiye 29 713 2.1× 663 2.0× 38 0.2× 66 0.5× 282 2.0× 52 1.8k
Ashnil Kumar Australia 21 712 2.1× 875 2.6× 43 0.2× 37 0.3× 469 3.3× 54 1.8k
Jiafeng Liu China 16 636 1.9× 361 1.1× 15 0.1× 114 0.8× 86 0.6× 112 1.2k
Tomasz Markiewicz Poland 16 299 0.9× 427 1.3× 89 0.4× 31 0.2× 68 0.5× 70 1.2k

Countries citing papers authored by Manuel Günther

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Günther

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Günther

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Günther. A scholar is included among the top collaborators of Manuel Günther 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 Manuel Günther. Manuel Günther 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.
Günther, Manuel, et al.. (2025). Process data-driven machine learning for non-uniformity prediction and virtual metrology in chemical mechanical planarization. Journal of Intelligent Manufacturing. 1 indexed citations
2.
Andratschke, Nicolaus, et al.. (2025). A comprehensive comparative study of generative adversarial network architectures for synthetic computed tomography generation in the abdomen. Medical Physics. 52(8). e18038–e18038. 1 indexed citations
3.
Pereira, Tiago de Freitas, et al.. (2024). Score Normalization for Demographic Fairness in Face Recognition. Zurich Open Repository and Archive (University of Zurich). 1–11. 1 indexed citations
4.
Kasim, Farizul Hafiz, T.E. Boult, Rodrígo Mora, et al.. (2024). Watchlist Challenge: 3rd Open-set Face Detection and Identification. Zurich Open Repository and Archive (University of Zurich). 1–10.
5.
Boult, Terrance E., et al.. (2023). Open-set face recognition with maximal entropy and Objectosphere loss. Image and Vision Computing. 141. 104862–104862. 4 indexed citations
6.
Günther, Manuel, et al.. (2023). Patient-specific quality assurance strategies for synthetic computed tomography in magnetic resonance-only radiotherapy of the abdomen. Physics and Imaging in Radiation Oncology. 27. 100464–100464. 9 indexed citations
7.
Günther, Manuel, et al.. (2023). Open-Set Face Recognition with Neural Ensemble, Maximal Entropy Loss and Feature Augmentation. 55–60. 1 indexed citations
8.
Günther, Manuel, et al.. (2022). Synthetic computed tomography for low-field magnetic resonance-guided radiotherapy in the abdomen. Physics and Imaging in Radiation Oncology. 24. 173–179. 14 indexed citations
9.
Li, Chunchun, et al.. (2022). Agglomerative Clustering with Threshold Optimization via Extreme Value Theory. Algorithms. 15(5). 170–170. 3 indexed citations
10.
Li, Chunchun, Manuel Günther, & Terrance E. Boult. (2021). ComFu: Improving Visual Clustering by Commonality Fusion. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). 143–150.
11.
Dhamija, Akshay Raj, Manuel Günther, Jonathan Ventura, & Terrance E. Boult. (2020). The Overlooked Elephant of Object Detection: Open Set. 1010–1019. 93 indexed citations
12.
Günther, Manuel, Akshay Raj Dhamija, & Terrance E. Boult. (2020). Watchlist Adaptation: Protecting the Innocent. Zurich Open Repository and Archive (University of Zurich). 21–32. 5 indexed citations
13.
Dhamija, Akshay Raj, Manuel Günther, & Terrance E. Boult. (2019). Improving Deep Network Robustness to Unknown Inputs with Objectosphere. Computer Vision and Pattern Recognition. 87–90. 2 indexed citations
14.
Anjos, André, Manuel Günther, Tiago de Freitas Pereira, et al.. (2017). Continuously Reproducing Toolchains in Pattern Recognition and Machine Learning Experiments. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 27 indexed citations
15.
Kosilek, Robert P., Jochen Schopohl, Mathias Grünke, et al.. (2013). Automatic Face Classification of Cushing's Syndrome in Women - A Novel Screening Approach. Experimental and Clinical Endocrinology & Diabetes. 121(9). 561–564. 25 indexed citations
16.
Anjos, André, et al.. (2012). Bob. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1449–1452. 110 indexed citations
17.
Schneider, Harald J., Robert P. Kosilek, Manuel Günther, et al.. (2011). A Novel Approach to the Detection of Acromegaly: Accuracy of Diagnosis by Automatic Face Classification. The Journal of Clinical Endocrinology & Metabolism. 96(7). 2074–2080. 64 indexed citations
18.
Böehringer, Stefan, Fedde van der Lijn, Fan Liu, et al.. (2011). Genetic determination of human facial morphology: links between cleft-lips and normal variation. European Journal of Human Genetics. 19(11). 1192–1197. 68 indexed citations
19.
Günther, Manuel & Rolf P. Würtz. (2009). FACE DETECTION AND RECOGNITION USING MAXIMUM LIKELIHOOD CLASSIFIERS ON GABOR GRAPHS. International Journal of Pattern Recognition and Artificial Intelligence. 23(3). 433–461. 8 indexed citations
20.
Bueß, G., R Theiss, Manuel Günther, Ferenc Hutterer, & H. Pichlmaier. (1985). Endoscopic Surgery in the Rectum. Endoscopy. 17(1). 31–35. 151 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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