Manuel Günther
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Surgery
- Oncology
- Co-authors
- Terrance E. BoultAkshay Raj DhamijaSébastien MarcelFerenc HuttererH. PichlmaierR TheissG. BueßAndras Rozsa
- Topics
- Face and Expression Recognition (15 papers)Face recognition and analysis (14 papers)Biometric Identification and Security (7 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismMedical PhysicsPattern Recognition Letters
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Manuel Günther
40 papers receiving 887 citations
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 335
- Artificial Intelligence 332
- Signal Processing 221
- Surgery 144
- Oncology 141
Countries citing papers authored by Manuel Günther
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 14 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 93 | |
| 12 | 5 | |
| 13 | Improving Deep Network Robustness to Unknown Inputs with Objectosphere | 2 |
| 14 | Continuously Reproducing Toolchains in Pattern Recognition and Machine Learning Experiments | 27 |
| 15 | 25 | |
| 16 | 110 | |
| 17 | 64 | |
| 18 | 68 | |
| 19 | 8 | |
| 20 | 151 |
About Manuel Günther
Manuel Günther is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 42 papers that have together received 917 indexed citations. Recurring topics across this work include Face and Expression Recognition (15 papers), Face recognition and analysis (14 papers) and Biometric Identification and Security (7 papers). The work is most often cited by research in Signal Processing (221 citations), Computer Vision and Pattern Recognition (335 citations) and Artificial Intelligence (332 citations). Manuel Günther has collaborated with scholars based in United States, Switzerland and Germany. Frequent 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. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Medical Physics and Pattern Recognition Letters.
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.