J. Strube
Impact in
-
- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
-
- Parallel Computing and Optimization Techniques
Papers in
-
- Particle physics theoretical and experimental studies 7
- Particle Detector Development and Performance 3
-
- Particle Accelerators and Free-Electron Lasers 2
- Co-authors
- M. M. Stanitzki (1 shared paper)Jinshou Tian (1 shared paper)D. Jeans (1 shared paper)T. Tanabe (1 shared paper)T. Price (1 shared paper)A. Ishikawa (2 shared papers)J. Yan (1 shared paper)S. Watanuki (1 shared paper)
- Journals
- Statistical Analysis and Data Mining The ASA Data Science Journal (1 paper)The European Physical Journal C (1 paper)Physical review. D (1 paper)Biosystems (1 paper)Computational Materials Science (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
J. Strube
15 papers receiving 62 citations
Peers
Comparison fields: 5 of 28
- Nuclear and High Energy Physics 43
- Hardware and Architecture 6
- Astronomy and Astrophysics 9
- Computer Networks and Communications 9
- Biophysics 2
Countries citing papers authored by J. Strube
This map shows the geographic impact of J. Strube'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. Strube with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Strube more than expected).
Fields of papers citing papers by J. Strube
This network shows the impact of papers produced by J. Strube. 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. Strube. The network helps show where J. Strube may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Strube, 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 | 2016 | 18 | |
| 2 | 2021 | 9 | |
| 3 | 2023 | 8 | |
| 4 | 2015 | 8 | |
| 5 | 2016 | 5 | |
| 6 | 2007 | 3 | |
| 7 | 2024 | 3 | |
| 8 | 2020 | 2 | |
| 9 | 2020 | 2 | |
| 10 | 2020 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2021 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2015 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2019 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2015 | 0 |
About J. Strube
J. Strube is a scholar working on Nuclear and High Energy Physics, Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence and Biomedical Engineering, having authored 18 papers that have together received 65 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (7 papers), Particle Detector Development and Performance (3 papers), Particle Accelerators and Free-Electron Lasers (2 papers), Computational Physics and Python Applications (2 papers), Cell Image Analysis Techniques (2 papers), Infrared Target Detection Methodologies (2 papers), Distributed and Parallel Computing Systems (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (43 citations), Hardware and Architecture (6 citations), Astronomy and Astrophysics (9 citations), Computer Networks and Communications (9 citations) and Biophysics (2 citations). J. Strube has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include M. M. Stanitzki, Jinshou Tian, D. Jeans, T. Tanabe, T. Price, A. Ishikawa, J. Yan, S. Watanuki, H. Yamamoto and H. Fujii. Their work appears in journals such as Statistical Analysis and Data Mining The ASA Data Science Journal, The European Physical Journal C, Physical review. D, Biosystems and Computational Materials Science.
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.