D. Casey
Impact in
-
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Black Holes and Theoretical Physics
- Astrophysics and Cosmic Phenomena
- Neutrino Physics Research
- Dark Matter and Cosmic Phenomena
- Particle Detector Development and Performance
Papers in
-
- Particle physics theoretical and experimental studies 3
- High-Energy Particle Collisions Research 3
- Quantum Chromodynamics and Particle Interactions 2
-
- Transportation and Mobility Innovations 1
- Co-authors
- R. Brock (2 shared papers)Daniel R. Stump (2 shared papers)J. Pumplin (2 shared papers)J. Huston (2 shared papers)J. M. Kalk (2 shared papers)H. L. Lai (2 shared papers)Wu-Ki Tung (1 shared paper)W. K. Tung (1 shared paper)
- Journals
- TR news (1 paper)Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields (2 papers)
- Partner nations
- United StatesSwitzerland
In The Last Decade
D. Casey
4 papers receiving 355 citations
Peers
Comparison fields: 5 of 24
- Nuclear and High Energy Physics 357
- Astronomy and Astrophysics 9
- Statistical and Nonlinear Physics 4
- Aerospace Engineering 7
- Statistics, Probability and Uncertainty 2
Countries citing papers authored by D. Casey
This map shows the geographic impact of D. Casey'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 D. Casey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Casey more than expected).
Fields of papers citing papers by D. Casey
This network shows the impact of papers produced by D. Casey. 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 D. Casey. The network helps show where D. Casey may publish in the future.
Co-authors
The 11 scholars most cited alongside D. Casey, 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 | 2001 | 203 | |
| 2 | 2001 | 158 | |
| 3 | p T Dependence of Inclusive Z Boson Production | 1997 | 1 |
| 4 | 2021 | 1 | |
| 5 | Tracing Innovation’s Spread: Impacts of the Domestic Scan Program | 2012 | 0 |
About D. Casey
D. Casey is a scholar working on Nuclear and High Energy Physics, Automotive Engineering, Management of Technology and Innovation, Environmental Engineering and Aerospace Engineering, having authored 5 papers that have together received 363 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (3 papers), High-Energy Particle Collisions Research (3 papers), Quantum Chromodynamics and Particle Interactions (2 papers), Icing and De-icing Technologies (1 paper), Innovative Approaches in Technology and Social Development (1 paper), Soil Moisture and Remote Sensing (1 paper) and Transportation and Mobility Innovations (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (357 citations), Astronomy and Astrophysics (9 citations), Statistical and Nonlinear Physics (4 citations), Aerospace Engineering (7 citations) and Statistics, Probability and Uncertainty (2 citations). D. Casey has collaborated with scholars based in United States and Switzerland. Frequent co-authors include R. Brock, Daniel R. Stump, J. Pumplin, J. Huston, J. M. Kalk, H. L. Lai, Wu-Ki Tung, W. K. Tung, Yaling Qian and Jay M. Ham. Their work appears in journals such as TR news and Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields.
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.