J. Thompson

3.4k total citations
10 papers, 127 citations indexed

About

J. Thompson is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, J. Thompson has authored 10 papers receiving a total of 127 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nuclear and High Energy Physics, 2 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in J. Thompson's 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). J. Thompson is often cited by papers focused on Particle physics theoretical and experimental studies (8 papers), High-Energy Particle Collisions Research (4 papers) and Particle Detector Development and Performance (3 papers). J. Thompson collaborates with scholars based in Germany, United Kingdom and United States. J. Thompson's 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 and has published in prestigious journals such as Physics Letters B, Journal of High Energy Physics and Physical review. D.

In The Last Decade

J. Thompson

10 papers receiving 127 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. Thompson Germany 5 119 15 15 6 3 10 127
D. M. Rauch Switzerland 2 162 1.4× 18 1.2× 10 0.7× 5 0.8× 1 0.3× 2 163
M. R. Masouminia United Kingdom 9 207 1.7× 23 1.5× 7 0.5× 6 1.0× 2 0.7× 16 214
Alexandra Wilcock United Kingdom 2 175 1.5× 21 1.4× 10 0.7× 6 1.0× 1 0.3× 4 176
Pyungwon Ko United States 3 239 2.0× 20 1.3× 17 1.1× 13 2.2× 2 0.7× 3 242
Nadine Fischer Australia 3 186 1.6× 20 1.3× 10 0.7× 5 0.8× 1 0.3× 6 187
M. A. Harrendorf Germany 2 162 1.4× 18 1.2× 10 0.7× 5 0.8× 1 0.3× 3 165
Justin Pilot Germany 2 149 1.3× 6 0.4× 18 1.2× 3 0.5× 2 0.7× 2 155
D. Krücker Germany 4 47 0.4× 7 0.5× 15 1.0× 3 0.5× 3 1.0× 17 61
D. P. Yallup United Kingdom 4 74 0.6× 28 1.9× 15 1.0× 10 1.7× 4 1.3× 8 96
P. Gras France 4 91 0.8× 4 0.3× 10 0.7× 6 1.0× 2 0.7× 8 103

Countries citing papers authored by J. Thompson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

10 of 10 papers shown
1.
Thompson, J., et al.. (2024). GPT is Not an Annotator: The Necessity of Human Annotation in Fairness Benchmark Construction. 14104–14115. 1 indexed citations
2.
Thompson, J., et al.. (2022). Streptococcal Pharyngitis: Compliance With National Testing Guidelines in a Pediatric Emergency Department.. PubMed. 38(2). e519–e523. 2 indexed citations
3.
Kasieczka, Gregor, Nicholas M. Kiefer, Tilman Plehn, & J. Thompson. (2019). Quark-gluon tagging: Machine learning vs detector. SciPost Physics. 6(6). 39 indexed citations
4.
Blanke, Monika, et al.. (2019). Spotting hidden sectors with Higgs binoculars. Journal of High Energy Physics. 2019(4). 10 indexed citations
5.
Kasieczka, Gregor, Nicholas M. Kiefer, Tilman Plehn, & J. Thompson. (2018). Quark-Gluon Tagging: Machine Learning meets Reality. arXiv (Cornell University). 1 indexed citations
6.
Plehn, Tilman, et al.. (2018). Dark matter from electroweak single top production. Physical review. D. 98(1). 4 indexed citations
7.
Gonçalves, Dorival, Tilman Plehn, & J. Thompson. (2017). Weak boson fusion at 100 TeV. Physical review. D. 95(9). 12 indexed citations
8.
Bothmann, Enrico, et al.. (2016). Aspects of perturbative QCD at a 100 TeV future hadron collider. Physical review. D. 94(3). 2 indexed citations
9.
Englert, Christoph, Frank Krauss, Michael Spannowsky, & J. Thompson. (2015). Di-Higgs phenomenology in tt¯hh: The forgotten channel. Physics Letters B. 743. 93–97. 41 indexed citations
10.
Höche, Stefan, Frank Krauss, Marek Schönherr, et al.. (2014). Triple vector boson production through Higgs-strahlung with NLO multijet merging. Physical review. D. Particles, fields, gravitation, and cosmology. 89(9). 15 indexed citations

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.

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