Thomas Hotz
Impact in
- Structural Biology top 10%
- Geometry and Topology top 5%
- Morphological variations and asymmetry
Papers in
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- Morphological variations and asymmetry 12
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- Biometric Identification and Security 4
- Co-authors
- Stephan Huckemann (9 shared papers)Axel Munk (11 shared papers)K Käch (3 shared papers)Mark Rudin (2 shared papers)Dieter Cadosch (1 shared paper)René Zellweger (1 shared paper)M Decurtins (2 shared papers)Andreas Schönle (1 shared paper)
- Journals
- Journal of the Royal Statistical Society Series C (Applied Statistics) (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Bioinformatics (1 paper)Journal of Orthopaedic Trauma (1 paper)IEEE Transactions on NanoBioscience (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Thomas Hotz
39 papers receiving 611 citations
Peers
Comparison fields: 5 of 96
- Structural Biology 21
- Geometry and Topology 125
- Signal Processing 109
- Biophysics 45
- Statistics and Probability 48
Countries citing papers authored by Thomas Hotz
This map shows the geographic impact of Thomas Hotz'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 Hotz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Hotz more than expected).
Fields of papers citing papers by Thomas Hotz
This network shows the impact of papers produced by Thomas Hotz. 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 Hotz. The network helps show where Thomas Hotz may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Hotz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Intrinsic shape analysis: Geodesic principal component analysis for Riemannian manifolds modulo Lie group actions. Discussion paper with rejoinder. | 2010 | 72 |
| 2 | 2012 | 71 | |
| 3 | 2003 | 56 | |
| 4 | 2008 | 55 | |
| 5 | 2012 | 44 | |
| 6 | 1999 | 37 | |
| 7 | 2009 | 33 | |
| 8 | 2011 | 32 | |
| 9 | 2014 | 26 | |
| 10 | 2012 | 24 | |
| 11 | 2011 | 19 | |
| 12 | 2013 | 19 | |
| 13 | 2011 | 15 | |
| 14 | 2014 | 13 | |
| 15 | 2018 | 13 | |
| 16 | 2011 | 11 | |
| 17 | 2008 | 11 | |
| 18 | 2018 | 11 | |
| 19 | 2023 | 10 | |
| 20 | 2013 | 9 |
About Thomas Hotz
Thomas Hotz is a scholar working on Geometry and Topology, Signal Processing, Artificial Intelligence, Computational Mechanics and Surgery, having authored 43 papers that have together received 653 indexed citations. Recurring topics across this work include Morphological variations and asymmetry (12 papers), Bayesian Methods and Mixture Models (6 papers), Biometric Identification and Security (4 papers), Petri Nets in System Modeling (3 papers), Advanced Statistical Methods and Models (3 papers), Sparse and Compressive Sensing Techniques (3 papers), Soil Geostatistics and Mapping (3 papers) and Statistical and numerical algorithms (3 papers). The work is most often cited by research in Structural Biology (21 citations), Geometry and Topology (125 citations), Signal Processing (109 citations), Biophysics (45 citations) and Statistics and Probability (48 citations). Thomas Hotz has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Stephan Huckemann, Axel Munk, K Käch, Mark Rudin, Dieter Cadosch, René Zellweger, M Decurtins, Andreas Schönle, Stefan W. Hell and Alexander Egner. Their work appears in journals such as Journal of the Royal Statistical Society Series C (Applied Statistics), IEEE Transactions on Pattern Analysis and Machine Intelligence, Bioinformatics, Journal of Orthopaedic Trauma and IEEE Transactions on NanoBioscience.
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.