Thomas Hoch
Impact in
- Nuclear and High Energy Physics top 10%
- Nuclear physics research studies
- Quantum Chromodynamics and Particle Interactions
- Astronomical and nuclear sciences
- High-Energy Particle Collisions Research
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- stochastic dynamics and bifurcation
Papers in
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- Sports Performance and Training 5
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- stochastic dynamics and bifurcation 4
- Co-authors
- D.G. MadlandGregor K. WenningKlaus ObermayerAdy PaltiArnold BacaChristoph HerwigP. ManakosThomas Mannel
- Journals
- Neurocomputing (3 papers)International Journal of Performance Analysis in Sport (2 papers)European Journal of Neuroscience (1 paper)Biotechnology Progress (1 paper)Implant Dentistry (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Thomas Hoch
21 papers receiving 358 citations
Peers
Comparison fields: 5 of 77
- Nuclear and High Energy Physics 173
- Statistical and Nonlinear Physics 79
- Urology 25
- Oral Surgery 26
- Cognitive Neuroscience 61
Countries citing papers authored by Thomas Hoch
This map shows the geographic impact of Thomas Hoch'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 Hoch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Hoch more than expected).
Fields of papers citing papers by Thomas Hoch
This network shows the impact of papers produced by Thomas Hoch. 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 Hoch. The network helps show where Thomas Hoch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Hoch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2020 | 1 | |
| 6 | 2019 | 6 | |
| 7 | 2017 | 3 | |
| 8 | An ensemble learning approach for the Kaggle taxi travel time prediction challenge | 2015 | 14 |
| 9 | 2015 | 12 | |
| 10 | 2011 | 3 | |
| 11 | Optimal control of a spin system acting on a single quantum bit | 2008 | 5 |
| 12 | 2006 | 5 | |
| 13 | 2005 | 12 | |
| 14 | 2004 | 4 | |
| 15 | 2003 | 41 | |
| 16 | 2003 | 12 | |
| 17 | 2002 | 38 | |
| 18 | 1996 | 1 | |
| 19 | 1994 | 17 | |
| 20 | 1992 | 164 |
About Thomas Hoch
Thomas Hoch is a scholar working on Orthopedics and Sports Medicine, Statistical and Nonlinear Physics, Cognitive Neuroscience, Industrial and Manufacturing Engineering and Signal Processing, having authored 22 papers that have together received 365 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Sports Performance and Training (5 papers), Sports Analytics and Performance (5 papers), stochastic dynamics and bifurcation (4 papers), Neuroscience and Neural Engineering (3 papers), Sports Dynamics and Biomechanics (3 papers), Digital Transformation in Industry (2 papers) and Nuclear physics research studies (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (173 citations), Statistical and Nonlinear Physics (79 citations), Urology (25 citations), Oral Surgery (26 citations) and Cognitive Neuroscience (61 citations). Thomas Hoch has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include D.G. Madland, Gregor K. Wenning, Klaus Obermayer, Ady Palti, Arnold Baca, Christoph Herwig, Klaus Obermayer, P. Manakos, Thomas Mannel and Roland Leser. Their work appears in journals such as Neurocomputing, International Journal of Performance Analysis in Sport, European Journal of Neuroscience, Biotechnology Progress and Implant Dentistry.
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.