Daniel Lam
Impact in
- Instrumentation top 5%
- Astronomy and Astrophysical Research
- Astronomy and Astrophysics top 5%
- Galaxies: Formation, Evolution, Phenomena
- Gamma-ray bursts and supernovae
- Stellar, planetary, and galactic studies
- Astrophysical Phenomena and Observations
- Astrophysics and Star Formation Studies
Papers in ⓘ
-
- Galaxies: Formation, Evolution, Phenomena 8
- Gamma-ray bursts and supernovae 3
- Stellar, planetary, and galactic studies 2
- Astrophysical Phenomena and Observations 2
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- Astronomy and Astrophysical Research 4
- Co-authors
- Jeremy Lim (7 shared papers)Tom Broadhurst (7 shared papers)J. M. Diego (8 shared papers)Wei Zheng (5 shared papers)H. C. Ford (4 shared papers)Adi Zitrin (3 shared papers)Sandor M. Molnar (1 shared paper)Joseph Silk (2 shared papers)
- Journals
- Monthly Notices of the Royal Astronomical Society (7 papers)Astronomy and Astrophysics (2 papers)Journal of the American Medical Informatics Association (1 paper)The Astrophysical Journal Letters (1 paper)PubMed (1 paper)
- Partner nations
- SpainHong KongUnited States
In The Last Decade
Daniel Lam
11 papers receiving 302 citations
Peers
Comparison fields: 5 of 29
- Instrumentation 172
- Astronomy and Astrophysics 291
- Nuclear and High Energy Physics 35
- Atomic and Molecular Physics, and Optics 59
- Computer Vision and Pattern Recognition 11
Countries citing papers authored by Daniel Lam
This map shows the geographic impact of Daniel 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 Daniel Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lam more than expected).
Fields of papers citing papers by Daniel Lam
This network shows the impact of papers produced by Daniel 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 Daniel Lam. The network helps show where Daniel Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel 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 | 2014 | 60 | |
| 2 | 2017 | 47 | |
| 3 | 2020 | 35 | |
| 4 | 2015 | 35 | |
| 5 | 2015 | 34 | |
| 6 | 2016 | 28 | |
| 7 | 2015 | 27 | |
| 8 | 2017 | 25 | |
| 9 | Primary immunodeficiency in Hong Kong and the use of genetic analysis for diagnosis. | 2005 | 12 |
| 10 | 2015 | 5 | |
| 11 | 2020 | 1 | |
| 12 | 2024 | 0 |
About Daniel Lam
Daniel Lam is a scholar working on Astronomy and Astrophysics, Instrumentation, Nuclear and High Energy Physics, Genetics and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 309 indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (8 papers), Astronomy and Astrophysical Research (4 papers), Gamma-ray bursts and supernovae (3 papers), Stellar, planetary, and galactic studies (2 papers), Astrophysical Phenomena and Observations (2 papers), Dark Matter and Cosmic Phenomena (1 paper), Genetic Associations and Epidemiology (1 paper) and Particle Detector Development and Performance (1 paper). The work is most often cited by research in Instrumentation (172 citations), Astronomy and Astrophysics (291 citations), Nuclear and High Energy Physics (35 citations), Atomic and Molecular Physics, and Optics (59 citations) and Computer Vision and Pattern Recognition (11 citations). Daniel Lam has collaborated with scholars based in Spain, Hong Kong and United States. Frequent co-authors include Jeremy Lim, Tom Broadhurst, J. M. Diego, Wei Zheng, H. C. Ford, Adi Zitrin, Sandor M. Molnar, Joseph Silk, Hanae Inami and L. Wisotzki. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics, Journal of the American Medical Informatics Association, The Astrophysical Journal Letters and PubMed.
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.