P. Gadow
Impact in
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- Particle Detector Development and Performance
- Particle physics theoretical and experimental studies
- Astrophysics and Cosmic Phenomena
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- Parallel Computing and Optimization Techniques
Papers in
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- Particle physics theoretical and experimental studies 5
- Particle Detector Development and Performance 4
- Astrophysics and Cosmic Phenomena 1
- High-Energy Particle Collisions Research 1
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- Distributed and Parallel Computing Systems 1
- Co-authors
- O. Kortner (2 shared papers)D. Walter (1 shared paper)M. Vieites Diaz (1 shared paper)Y. X. Zhao (1 shared paper)R. Richter (1 shared paper)F. Müller (1 shared paper)J. M. Wagner (1 shared paper)K. R. Schmidt-Sommerfeld (2 shared papers)
- Journals
- Journal of Instrumentation (1 paper)Nature Reviews Physics (1 paper)CERN Bulletin (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)The Journal of Open Source Software (1 paper)
- Partner nations
- GermanySwitzerlandNetherlands
In The Last Decade
P. Gadow
3 papers receiving 4 citations
Peers
Comparison fields: 5 of 6
- Nuclear and High Energy Physics 4
- Hardware and Architecture 1
- Radiation 1
- Computer Vision and Pattern Recognition 1
- Artificial Intelligence 1
Countries citing papers authored by P. Gadow
This map shows the geographic impact of P. Gadow'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 P. Gadow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Gadow more than expected).
Fields of papers citing papers by P. Gadow
This network shows the impact of papers produced by P. Gadow. 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 P. Gadow. The network helps show where P. Gadow may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Gadow, 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 | 2019 | 3 | |
| 2 | Development of a Concept for the Muon Trigger of the ATLAS Detector at the HL-LHC | 2016 | 1 |
| 3 | 2015 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 |
About P. Gadow
P. Gadow is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Political Science and International Relations, Radiation and Electrical and Electronic Engineering, having authored 5 papers that have together received 5 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (5 papers), Particle Detector Development and Performance (4 papers), Radiation Detection and Scintillator Technologies (1 paper), Distributed and Parallel Computing Systems (1 paper), Astrophysics and Cosmic Phenomena (1 paper), International Science and Diplomacy (1 paper), High-Energy Particle Collisions Research (1 paper) and Particle Accelerators and Free-Electron Lasers (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (4 citations), Hardware and Architecture (1 citation), Radiation (1 citation), Computer Vision and Pattern Recognition (1 citation) and Artificial Intelligence (1 citation). P. Gadow has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include O. Kortner, D. Walter, M. Vieites Diaz, Y. X. Zhao, R. Richter, F. Müller, J. M. Wagner, K. R. Schmidt-Sommerfeld, K. M. Ecker and H. Kroha. Their work appears in journals such as Journal of Instrumentation, Nature Reviews Physics, CERN Bulletin, CERN Document Server (European Organization for Nuclear Research) and The Journal of Open Source Software.
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.