Adam Davison
Impact in
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- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Black Holes and Theoretical Physics
- Dark Matter and Cosmic Phenomena
- Human-Computer Interaction top 2%
- Virtual Reality Applications and Impacts
Papers in
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- Particle physics theoretical and experimental studies 2
- High-Energy Particle Collisions Research 2
- Particle Detector Development and Performance 1
- Genetics 1
- Mesenchymal stem cell research 1
- Co-authors
- Gavin P. Salam (2 shared papers)Mathieu Rubin (2 shared papers)J. M. Butterworth (2 shared papers)Angus Antley (1 shared paper)Chris Barker (1 shared paper)David Swapp (1 shared paper)Christoph Guger (1 shared paper)Nancy Pistrang (1 shared paper)
- Journals
- Physical Review Letters (1 paper)Cytometry Part A (1 paper)PLoS ONE (1 paper)AIP conference proceedings (1 paper)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Adam Davison
4 papers receiving 1.1k citations
Adam Davison's Hit Papers
Peers
Comparison fields: 5 of 90
- Nuclear and High Energy Physics 747
- Human-Computer Interaction 147
- Social Psychology 152
- Cognitive Neuroscience 105
- General Decision Sciences 8
Countries citing papers authored by Adam Davison
This map shows the geographic impact of Adam Davison'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 Adam Davison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Davison more than expected).
Fields of papers citing papers by Adam Davison
This network shows the impact of papers produced by Adam Davison. 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 Adam Davison. The network helps show where Adam Davison may publish in the future.
Co-authors
The 16 scholars most cited alongside Adam Davison, 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 | Jet Substructure as a New Higgs-Search Channel at the Large Hadron Collider Hit paper breakdown → | 2008 | 529 |
| 2 | 2006 | 352 | |
| 3 | 2008 | 230 | |
| 4 | 2022 | 9 |
About Adam Davison
Adam Davison is a scholar working on Nuclear and High Energy Physics, Genetics, Sociology and Political Science, Artificial Intelligence and Physiology, having authored 4 papers that have together received 1.1k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (2 papers), High-Energy Particle Collisions Research (2 papers), Psychology of Social Influence (1 paper), Particle Detector Development and Performance (1 paper), Mesenchymal stem cell research (1 paper), Immune cells in cancer (1 paper), Computational Physics and Python Applications (1 paper) and Spaceflight effects on biology (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (747 citations), Human-Computer Interaction (147 citations), Social Psychology (152 citations), Cognitive Neuroscience (105 citations) and General Decision Sciences (8 citations). Adam Davison has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Gavin P. Salam, Mathieu Rubin, J. M. Butterworth, Angus Antley, Chris Barker, David Swapp, Christoph Guger, Nancy Pistrang, Mel Slater and María V. Sánchez-Vives. Their work appears in journals such as Physical Review Letters, Cytometry Part A, PLoS ONE and AIP conference proceedings.
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.