J. Kieseler
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies 11
- Particle Detector Development and Performance 9
- High-Energy Particle Collisions Research 4
- Quantum Chromodynamics and Particle Interactions 3
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- Radiation Detection and Scintillator Technologies 8
- Nuclear Physics and Applications 2
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- Computational Physics and Python Applications 1
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- Atomic and Subatomic Physics Research 1
- Co-authors
- Shah Rukh QasimM. PieriniY. IiyamaM. VerzettiM. StoyeE. S. BolsA. StakiaK. Lipka
- Journals
- The European Physical Journal C (4 papers)Journal of Instrumentation (3 papers)Machine Learning Science and Technology (1 paper)
- Partner nations
- SwitzerlandGermanyItaly
In The Last Decade
J. Kieseler
12 papers receiving 155 citations
Peers
Comparison fields: 5 of 35
- Nuclear and High Energy Physics 115
- Radiation 29
- Artificial Intelligence 42
- Hardware and Architecture 5
- Computer Vision and Pattern Recognition 15
Countries citing papers authored by J. Kieseler
This map shows the geographic impact of J. Kieseler'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 J. Kieseler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Kieseler more than expected).
Fields of papers citing papers by J. Kieseler
This network shows the impact of papers produced by J. Kieseler. 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 J. Kieseler. The network helps show where J. Kieseler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. Kieseler, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 5 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2020 | 38 | |
| 14 | 2019 | 70 | |
| 15 | 2016 | 12 |
About J. Kieseler
J. Kieseler is a scholar working on Nuclear and High Energy Physics, Radiation, Control and Systems Engineering, Radiology, Nuclear Medicine and Imaging and Atomic and Molecular Physics, and Optics, having authored 15 papers that have together received 159 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (11 papers), Particle Detector Development and Performance (9 papers), Radiation Detection and Scintillator Technologies (8 papers), High-Energy Particle Collisions Research (4 papers), Quantum Chromodynamics and Particle Interactions (3 papers), Nuclear Physics and Applications (2 papers), Atomic and Subatomic Physics Research (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (115 citations), Radiation (29 citations), Artificial Intelligence (42 citations), Hardware and Architecture (5 citations) and Computer Vision and Pattern Recognition (15 citations). J. Kieseler has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include Shah Rukh Qasim, M. Pierini, Y. Iiyama, M. Verzetti, M. Stoye, E. S. Bols, A. Stakia, K. Lipka, S. Moch and K. Long. Their work appears in journals such as The European Physical Journal C, Journal of Instrumentation, Machine Learning Science and Technology, Journal of High Energy Physics and Physical Review Letters.
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.