D. Lam
Impact in
- Nuclear and High Energy Physics top 10%
- High-Energy Particle Collisions Research
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- Nuclear physics research studies
- Astrophysics and Cosmic Phenomena
- Dark Matter and Cosmic Phenomena
-
- Stochastic processes and statistical mechanics
Papers in
-
- Particle physics theoretical and experimental studies 4
- High-Energy Particle Collisions Research 2
- Astrophysics and Cosmic Phenomena 1
- Dark Matter and Cosmic Phenomena 1
-
- Scientific Research and Discoveries 1
- Co-authors
- A. Firestone (4 shared papers)P. Schlein (3 shared papers)A. Dzierba (4 shared papers)J. Lach (4 shared papers)F.A. Nezrick (4 shared papers)R. Poster (4 shared papers)E. Malamud (4 shared papers)F.T. Dao (4 shared papers)
- Journals
- Physical Review Letters (1 paper)Physics Letters B (1 paper)Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields (2 papers)
- Partner nations
- United States
In The Last Decade
D. Lam
4 papers receiving 102 citations
Peers
Comparison fields: 5 of 21
- Nuclear and High Energy Physics 89
- Mathematical Physics 7
- Statistics and Probability 5
- Astronomy and Astrophysics 9
- Statistical and Nonlinear Physics 6
Countries citing papers authored by D. Lam
This map shows the geographic impact of D. Lam'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. Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Lam more than expected).
Fields of papers citing papers by D. Lam
This network shows the impact of papers produced by D. Lam. 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. Lam. The network helps show where D. Lam may publish in the future.
Co-authors
The 18 scholars most cited alongside D. Lam, 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 | 1974 | 52 | |
| 2 | 1974 | 44 | |
| 3 | 1974 | 6 | |
| 4 | 1974 | 4 |
About D. Lam
D. Lam is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics, Radiation, Artificial Intelligence and Infectious Diseases, having authored 4 papers that have together received 106 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (4 papers), High-Energy Particle Collisions Research (2 papers), Astrophysics and Cosmic Phenomena (1 paper), Nuclear Physics and Applications (1 paper), Dark Matter and Cosmic Phenomena (1 paper), Radiation Detection and Scintillator Technologies (1 paper), Computational Physics and Python Applications (1 paper) and Scientific Research and Discoveries (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (89 citations), Mathematical Physics (7 citations), Statistics and Probability (5 citations), Astronomy and Astrophysics (9 citations) and Statistical and Nonlinear Physics (6 citations). D. Lam has collaborated with scholars based in United States. Frequent co-authors include A. Firestone, P. Schlein, A. Dzierba, J. Lach, F.A. Nezrick, R. Poster, E. Malamud, F.T. Dao, C. Peck and R. Hanft. Their work appears in journals such as Physical Review Letters, Physics Letters B 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.