M. Guth
Impact in
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- Particle Detector Development and Performance
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
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- Radiation Detection and Scintillator Technologies
- Nuclear Physics and Applications
Papers in ⓘ
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- Particle physics theoretical and experimental studies 2
- Particle Detector Development and Performance 1
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- Radiation Detection and Scintillator Technologies 1
- Co-authors
- J. A. Raine (1 shared paper)L. F. Ehrke (1 shared paper)T. Golling (1 shared paper)K. Zoch (1 shared paper)L. Ropelewski (1 shared paper)A. Forti (1 shared paper)L. Heinrich (1 shared paper)H. Müller (1 shared paper)
- Journals
- Physical review. D (1 paper)Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (1 paper)Journal of Physics Conference Series (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- SwitzerlandSwedenGermany
In The Last Decade
M. Guth
3 papers receiving 21 citations
Peers
Comparison fields: 5 of 8
- Nuclear and High Energy Physics 19
- Radiation 8
- Information Systems and Management 2
- Artificial Intelligence 7
- Hardware and Architecture 1
Countries citing papers authored by M. Guth
This map shows the geographic impact of M. Guth'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. Guth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Guth more than expected).
Fields of papers citing papers by M. Guth
This network shows the impact of papers produced by M. Guth. 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. Guth. The network helps show where M. Guth may publish in the future.
Co-authors
The 13 scholars most cited alongside M. Guth, 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 | 2023 | 11 | |
| 2 | 2018 | 8 | |
| 3 | 2020 | 2 | |
| 4 | SOFTWARE Manual for VMM3 Slow Control | 2017 | 0 |
About M. Guth
M. Guth is a scholar working on Nuclear and High Energy Physics, Radiation, Computational Theory and Mathematics, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 4 papers that have together received 21 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (2 papers), Topological and Geometric Data Analysis (1 paper), Particle Detector Development and Performance (1 paper), Medical Imaging Techniques and Applications (1 paper), Radiation Detection and Scintillator Technologies (1 paper), CCD and CMOS Imaging Sensors (1 paper), Computational Physics and Python Applications (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (19 citations), Radiation (8 citations), Information Systems and Management (2 citations), Artificial Intelligence (7 citations) and Hardware and Architecture (1 citation). M. Guth has collaborated with scholars based in Switzerland, Sweden and Germany. Frequent co-authors include J. A. Raine, L. F. Ehrke, T. Golling, K. Zoch, L. Ropelewski, A. Forti, L. Heinrich, H. Müller, E. Oliveri and Sorin Martoiu. Their work appears in journals such as Physical review. D, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Physics Conference Series and CERN Document Server (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.