David Shih
- Nuclear and High Energy Physics top 0.5%
- Particle physics theoretical and experimental studies 53
- Particle Detector Development and Performance 18
- High-Energy Particle Collisions Research 14
- Dark Matter and Cosmic Phenomena 14
- Black Holes and Theoretical Physics 12
- Quantum Chromodynamics and Particle Interactions 9
- Astronomy and Astrophysics top 2%
- Cosmology and Gravitation Theories 13
- Instrumentation top 5%
- Artificial Intelligence top 2%
- Computational Physics and Python Applications 16
- Co-authors
- Nathan SeibergPatrick MeadeBenjamin NachmanMatthew ReeceClaudius KrauseGregor KasieczkaPatrick DraperMatthew R. Buckley
- Journals
- Physical review. D (28 papers)Journal of High Energy Physics (18 papers)Monthly Notices of the Royal Astronomical Society (8 papers)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
David Shih
77 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 86
- Nuclear and High Energy Physics 2.2k
- Astronomy and Astrophysics 1.2k
- Instrumentation 115
- Statistical and Nonlinear Physics 205
- Artificial Intelligence 506
Countries citing papers authored by David Shih
This map shows the geographic impact of David Shih'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 David Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Shih more than expected).
Fields of papers citing papers by David Shih
This network shows the impact of papers produced by David Shih. 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 David Shih. The network helps show where David Shih may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Shih, 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 | 2025 | 6 | |
| 2 | 2025 | 14 | |
| 3 | 2025 | 4 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 15 | |
| 6 | 2024 | 13 | |
| 7 | 2024 | 12 | |
| 8 | 2023 | 31 | |
| 9 | 2023 | 16 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 31 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 4 | |
| 14 | 2022 | 63 | |
| 15 | 2020 | 25 | |
| 16 | 2020 | 11 | |
| 17 | 2019 | 15 | |
| 18 | 2019 | 28 | |
| 19 | Slepton co-NLSPs at the Tevatron | 2016 | 3 |
| 20 | 2005 | 24 |
About David Shih
David Shih is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Instrumentation, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 77 papers that have together received 2.8k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (53 papers), Particle Detector Development and Performance (18 papers), Computational Physics and Python Applications (16 papers), High-Energy Particle Collisions Research (14 papers), Dark Matter and Cosmic Phenomena (14 papers), Cosmology and Gravitation Theories (13 papers), Black Holes and Theoretical Physics (12 papers) and Quantum Chromodynamics and Particle Interactions (9 papers). The work is most often cited by research in Nuclear and High Energy Physics (2.2k citations), Astronomy and Astrophysics (1.2k citations), Instrumentation (115 citations), Statistical and Nonlinear Physics (205 citations) and Artificial Intelligence (506 citations). David Shih has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Nathan Seiberg, Patrick Meade, Benjamin Nachman, Matthew Reece, Claudius Krause, Gregor Kasieczka, Patrick Draper, Matthew R. Buckley, Jared A. Evans and Yuichiro Nakai. Their work appears in journals such as Physical review. D, Journal of High Energy Physics, Monthly Notices of the Royal Astronomical Society, The Astrophysical Journal and SciPost Physics.
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.