Lee Richardson
Impact in
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- Advanced Bandit Algorithms Research
- demographic modeling and climate adaptation
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- Recommender Systems and Techniques
Papers in
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- Advanced Bandit Algorithms Research 2
- demographic modeling and climate adaptation 1
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- Recommender Systems and Techniques 2
- Co-authors
- William F. Eddy (1 shared paper)Yuyan Wang (2 shared papers)Shannon Gallagher (1 shared paper)Mohit Sharma (2 shared papers)Samuel Ventura (1 shared paper)Can Xu (2 shared papers)Minmin Chen (2 shared papers)Ed H. (2 shared papers)
- Journals
- Applied Stochastic Models in Business and Industry (1 paper)Journal of Quantitative Analysis in Sports (1 paper)Statistica Sinica (1 paper)Journal of Computational and Graphical Statistics (1 paper)Journal of Applied Meteorology and Climatology (1 paper)
- Partner nations
- United StatesNorwayBrazil
In The Last Decade
Lee Richardson
8 papers receiving 86 citations
Peers
Comparison fields: 5 of 53
- Management Science and Operations Research 35
- Information Systems 36
- Transportation 9
- Modeling and Simulation 6
- Health Informatics 1
Countries citing papers authored by Lee Richardson
This map shows the geographic impact of Lee Richardson'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 Lee Richardson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee Richardson more than expected).
Fields of papers citing papers by Lee Richardson
This network shows the impact of papers produced by Lee Richardson. 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 Lee Richardson. The network helps show where Lee Richardson may publish in the future.
Co-authors
The 21 scholars most cited alongside Lee Richardson, 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 | 2021 | 25 | |
| 2 | 2018 | 24 | |
| 3 | 2022 | 22 | |
| 4 | 2014 | 11 | |
| 5 | 2023 | 4 | |
| 6 | 2014 | 4 | |
| 7 | 2008 | 2 | |
| 8 | 2025 | 1 | |
| 9 | 2024 | 1 |
About Lee Richardson
Lee Richardson is a scholar working on Management Science and Operations Research, Information Systems, Oceanography, Artificial Intelligence and Economics and Econometrics, having authored 9 papers that have together received 94 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (2 papers), Geophysics and Gravity Measurements (2 papers), Oceanographic and Atmospheric Processes (2 papers), Climate variability and models (2 papers), Advanced Bandit Algorithms Research (2 papers), Statistics Education and Methodologies (1 paper), demographic modeling and climate adaptation (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Management Science and Operations Research (35 citations), Information Systems (36 citations), Transportation (9 citations), Modeling and Simulation (6 citations) and Health Informatics (1 citation). Lee Richardson has collaborated with scholars based in United States, Norway and Brazil. Frequent co-authors include William F. Eddy, Yuyan Wang, Shannon Gallagher, Mohit Sharma, Samuel Ventura, Can Xu, Minmin Chen, Ed H., Su-Lin Wu and Peter Guttorp. Their work appears in journals such as Applied Stochastic Models in Business and Industry, Journal of Quantitative Analysis in Sports, Statistica Sinica, Journal of Computational and Graphical Statistics and Journal of Applied Meteorology and Climatology.
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.