Daniel Lee
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
- Markov Chains and Monte Carlo Methods
- Statistical Distribution Estimation and Applications
Papers in
-
- Seventeenth-Century Political and Philosophical Thought 3
- History 2
- Renaissance and Early Modern Studies 1
- Co-authors
- Andrew Gelman (2 shared papers)Jiqiang Guo (1 shared paper)Yair Ghitza (1 shared paper)Bitna Kim (2 shared papers)Rianne van Melik (1 shared paper)
- Journals
- Tijdschrift voor Economische en Sociale Geografie (1 paper)The Forum (1 paper)Journal of Educational and Behavioral Statistics (1 paper)American Journal of Criminal Justice (1 paper)Journal of Crime and Justice (1 paper)
- Partner nations
- United StatesNetherlands
In The Last Decade
Daniel Lee
7 papers receiving 424 citations
Daniel Lee's Hit Papers
Peers
Comparison fields: 5 of 118
- Statistics and Probability 82
- Statistics, Probability and Uncertainty 14
- Ecological Modeling 4
- Management Science and Operations Research 25
- Cognitive Neuroscience 29
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 5 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
| # | Work | ||
|---|---|---|---|
| 1 | Stan Hit paper breakdown → | 2015 | 396 |
| 2 | 2010 | 24 | |
| 3 | 2023 | 5 | |
| 4 | 2021 | 4 | |
| 5 | 2021 | 2 | |
| 6 | 2018 | 1 | |
| 7 | 2025 | 1 | |
| 8 | 2016 | 0 | |
| 9 | 2016 | 0 | |
| 10 | 2021 | 0 |
About Daniel Lee
Daniel Lee is a scholar working on Philosophy, History, Political Science and International Relations, General Health Professions and Sociology and Political Science, having authored 10 papers that have together received 433 indexed citations. Recurring topics across this work include Seventeenth-Century Political and Philosophical Thought (3 papers), Medieval and Early Modern Justice (2 papers), Historical Legal Studies and Society (2 papers), Criminal Justice and Corrections Analysis (2 papers), Healthcare Policy and Management (1 paper), Data Analysis with R (1 paper), Renaissance and Early Modern Studies (1 paper) and Ethics and bioethics in healthcare (1 paper). The work is most often cited by research in Statistics and Probability (82 citations), Statistics, Probability and Uncertainty (14 citations), Ecological Modeling (4 citations), Management Science and Operations Research (25 citations) and Cognitive Neuroscience (29 citations). Daniel Lee has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Andrew Gelman, Jiqiang Guo, Yair Ghitza, Bitna Kim and Rianne van Melik. Their work appears in journals such as Tijdschrift voor Economische en Sociale Geografie, The Forum, Journal of Educational and Behavioral Statistics, American Journal of Criminal Justice and Journal of Crime and Justice.
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.