Daniel Lee
Impact in
-
- Nuclear physics research studies
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
- Vehicle Dynamics and Control Systems
Papers in
-
- Opioid Use Disorder Treatment 5
- Innovations in Medical Education 1
-
- Prostate Cancer Diagnosis and Treatment 3
- Gallbladder and Bile Duct Disorders 1
- Cerebrovascular and Carotid Artery Diseases 1
- Co-authors
- D. John Lee (2 shared papers)Ilse C. F. Ipsen (1 shared paper)Ermal Rrapaj (1 shared paper)Paul Vernaza (2 shared papers)Jason C. Derenick (1 shared paper)John R. Spletzer (1 shared paper)Alex Kushleyev (1 shared paper)Tully B. Foote (1 shared paper)
- Journals
- JAMA Network Open (2 papers)The Journal of Urology (2 papers)Physics Letters B (1 paper)ACS Medicinal Chemistry Letters (1 paper)Physical Review Letters (1 paper)
- Partner nations
- United StatesCanadaBrazil
In The Last Decade
Daniel Lee
19 papers receiving 380 citations
Peers
Comparison fields: 5 of 36
- Nuclear and High Energy Physics 76
- Automotive Engineering 33
- Computer Vision and Pattern Recognition 34
- Instrumentation 2
- Public Health, Environmental and Occupational Health 32
Countries citing papers authored by Daniel Lee
This map shows the geographic impact of Daniel Lee'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 Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lee more than expected).
Fields of papers citing papers by Daniel Lee
This network shows the impact of papers produced by Daniel Lee. 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 Lee. The network helps show where Daniel Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 120 | |
| 2 | 2018 | 111 | |
| 3 | 2001 | 32 | |
| 4 | 2020 | 27 | |
| 5 | 2021 | 19 | |
| 6 | 2025 | 18 | |
| 7 | Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum L_p Loss | 2012 | 15 |
| 8 | 2011 | 10 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 5 | |
| 11 | 2013 | 4 | |
| 12 | 2021 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2016 | 3 | |
| 15 | Optimal Neural Population Codes for High-dimensional Stimulus Variables | 2013 | 2 |
| 16 | 2024 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2010 | 1 | |
| 19 | 2016 | 1 | |
| 20 | GCAI-2018. 4th Global Conference on Artificial Intelligence | 2018 | 0 |
About Daniel Lee
Daniel Lee is a scholar working on Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine, Virology, Automotive Engineering and Artificial Intelligence, having authored 22 papers that have together received 387 indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (5 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Innovations in Medical Education (1 paper), Autonomous Vehicle Technology and Safety (1 paper), Reinforcement Learning in Robotics (1 paper), Gallbladder and Bile Duct Disorders (1 paper), Robotic Locomotion and Control (1 paper) and Cerebrovascular and Carotid Artery Diseases (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (76 citations), Automotive Engineering (33 citations), Computer Vision and Pattern Recognition (34 citations), Instrumentation (2 citations) and Public Health, Environmental and Occupational Health (32 citations). Daniel Lee has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include D. John Lee, Ilse C. F. Ipsen, Ermal Rrapaj, Paul Vernaza, Jason C. Derenick, John R. Spletzer, Alex Kushleyev, Tully B. Foote, Zhuo Wang and Alan A. Stocker. Their work appears in journals such as JAMA Network Open, The Journal of Urology, Physics Letters B, ACS Medicinal Chemistry Letters and Physical Review Letters.
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.