M. Sommerhalder
Impact in
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- High-Energy Particle Collisions Research
- Neutrino Physics Research
- Quantum Chromodynamics and Particle Interactions
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- Computational Physics and Python Applications
- Gaussian Processes and Bayesian Inference
- Anomaly Detection Techniques and Applications
Papers in
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- Particle physics theoretical and experimental studies 4
- Particle Detector Development and Performance 2
- Neutrino Physics Research 1
- Astrophysics and Cosmic Phenomena 1
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- Computational Physics and Python Applications 3
- Anomaly Detection Techniques and Applications 1
- Co-authors
- Gregor Kasieczka (4 shared papers)David Shih (4 shared papers)Tobias Quadfasel (3 shared papers)Benjamin Nachman (2 shared papers)Claudius Krause (2 shared papers)M. Schlaffer (1 shared paper)Joshua Isaacson (1 shared paper)T. Golling (1 shared paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
M. Sommerhalder
4 papers receiving 126 citations
Peers
Comparison fields: 5 of 19
- Nuclear and High Energy Physics 97
- Artificial Intelligence 67
- Computer Vision and Pattern Recognition 8
- Information Systems and Management 2
- Instrumentation 1
Countries citing papers authored by M. Sommerhalder
This map shows the geographic impact of M. Sommerhalder'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 M. Sommerhalder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Sommerhalder more than expected).
Fields of papers citing papers by M. Sommerhalder
This network shows the impact of papers produced by M. Sommerhalder. 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 M. Sommerhalder. The network helps show where M. Sommerhalder may publish in the future.
Co-authors
The 11 scholars most cited alongside M. Sommerhalder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About M. Sommerhalder
M. Sommerhalder is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence, Infectious Diseases, Organic Chemistry and Surgery, having authored 4 papers that have together received 126 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (4 papers), Computational Physics and Python Applications (3 papers), Particle Detector Development and Performance (2 papers), Neutrino Physics Research (1 paper), Anomaly Detection Techniques and Applications (1 paper) and Astrophysics and Cosmic Phenomena (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (97 citations), Artificial Intelligence (67 citations), Computer Vision and Pattern Recognition (8 citations), Information Systems and Management (2 citations) and Instrumentation (1 citation). M. Sommerhalder has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Gregor Kasieczka, David Shih, Tobias Quadfasel, Benjamin Nachman, Claudius Krause, M. Schlaffer, Joshua Isaacson, T. Golling, J. A. Raine and Michael Krämer. Their work appears in journals such as Physical review. D and The European Physical Journal C.
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.