K. Zoch
Impact in
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- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Quantum Chromodynamics and Particle Interactions
- Neutrino Physics Research
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- Computational Physics and Python Applications
- Gaussian Processes and Bayesian Inference
Papers in
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- Particle physics theoretical and experimental studies 5
- Neutrino Physics Research 3
- Astrophysics and Cosmic Phenomena 2
- High-Energy Particle Collisions Research 1
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- Cosmology and Gravitation Theories 1
- Co-authors
- J. A. Raine (5 shared papers)T. Golling (4 shared papers)Matthew Leigh (3 shared papers)G. Quétant (1 shared paper)L. F. Ehrke (1 shared paper)M. Guth (1 shared paper)
- Journals
- Physical review. D (2 papers)SciPost Physics (2 papers)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- SwitzerlandUnited States
In The Last Decade
K. Zoch
5 papers receiving 78 citations
Peers
Comparison fields: 5 of 19
- Nuclear and High Energy Physics 65
- Artificial Intelligence 24
- Radiation 5
- Computer Vision and Pattern Recognition 6
- Information Systems and Management 2
Countries citing papers authored by K. Zoch
This map shows the geographic impact of K. Zoch'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 K. Zoch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Zoch more than expected).
Fields of papers citing papers by K. Zoch
This network shows the impact of papers produced by K. Zoch. 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 K. Zoch. The network helps show where K. Zoch may publish in the future.
Co-authors
The 6 scholars most cited alongside K. Zoch, 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 | 31 | |
| 2 | 2023 | 22 | |
| 3 | 2024 | 13 | |
| 4 | 2023 | 11 | |
| 5 | 2022 | 1 |
About K. Zoch
K. Zoch is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Artificial Intelligence, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 5 papers that have together received 78 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (5 papers), Neutrino Physics Research (3 papers), Astrophysics and Cosmic Phenomena (2 papers), Topological and Geometric Data Analysis (1 paper), Medical Imaging Techniques and Applications (1 paper), Computational Physics and Python Applications (1 paper), Cosmology and Gravitation Theories (1 paper) and High-Energy Particle Collisions Research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (65 citations), Artificial Intelligence (24 citations), Radiation (5 citations), Computer Vision and Pattern Recognition (6 citations) and Information Systems and Management (2 citations). K. Zoch has collaborated with scholars based in Switzerland and United States. Frequent co-authors include J. A. Raine, T. Golling, Matthew Leigh, G. Quétant, L. F. Ehrke and M. Guth. Their work appears in journals such as Physical review. D, SciPost Physics and Zenodo (CERN European Organization for Nuclear Research).
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.