J. Thompson
- Nuclear and High Energy Physics top 10%
- Astronomy and Astrophysics
- Artificial Intelligence
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Co-authors
- Tilman PlehnFrank KraussChristoph EnglertGregor KasieczkaNicholas M. KieferMichael SpannowskyDorival GonçalvesStefan Höche
- Topics
- Particle physics theoretical and experimental studies (8 papers)High-Energy Particle Collisions Research (4 papers)Particle Detector Development and Performance (3 papers)
- Cited by
- Nuclear and High Energy PhysicsAstronomy and AstrophysicsApplied Microbiology and Biotechnology
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
J. Thompson
10 papers receiving 127 citations
Peers
Comparison fields: 5 of 25
- Nuclear and High Energy Physics 119
- Astronomy and Astrophysics 15
- Artificial Intelligence 15
- Computer Networks and Communications 6
- Computer Vision and Pattern Recognition 3
Countries citing papers authored by J. Thompson
This map shows the geographic impact of J. Thompson'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. Thompson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Thompson more than expected).
Fields of papers citing papers by J. Thompson
This network shows the impact of papers produced by J. Thompson. 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. Thompson. The network helps show where J. Thompson may publish in the future.
Co-authorship network of co-authors of J. Thompson
This figure shows the co-authorship network connecting the top 25 collaborators of J. Thompson. A scholar is included among the top collaborators of J. Thompson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Thompson. J. Thompson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 39 | |
| 4 | 10 | |
| 5 | Quark-Gluon Tagging: Machine Learning meets Reality | 1 |
| 6 | 4 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 41 | |
| 10 | 15 |
About J. Thompson
J. Thompson is a scholar working on Nuclear and High Energy Physics, Safety Research and Artificial Intelligence, having authored 10 papers that have together received 127 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (8 papers), High-Energy Particle Collisions Research (4 papers) and Particle Detector Development and Performance (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (119 citations), Astronomy and Astrophysics (15 citations) and Applied Microbiology and Biotechnology (1 citation). J. Thompson has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Tilman Plehn, Frank Krauss, Christoph Englert, Gregor Kasieczka, Nicholas M. Kiefer, Michael Spannowsky, Dorival Gonçalves, Stefan Höche, Stefano Pozzorini and Marek Schönherr. Their work appears in journals such as Physics Letters B, Journal of High Energy Physics and Physical review. D.
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.