Lester Mackey
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
-
- Random Matrices and Applications 7
- Markov Chains and Monte Carlo Methods 5
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- Machine Learning and Algorithms 5
- Bayesian Methods and Mixture Models 4
- Co-authors
- Michael I. Jordan (5 shared papers)Ameet Talwalkar (2 shared papers)Judah Cohen (3 shared papers)Jessica Park Hwang (2 shared papers)Elaine Shi (1 shared paper)Ling Huang (1 shared paper)Emil Stefanov (1 shared paper)Eui Chul Richard Shin (1 shared paper)
- Journals
- ACM SIGPLAN Notices (2 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (2 papers)BMJ Open (1 paper)Statistical Science (1 paper)The Annals of Statistics (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Lester Mackey
47 papers receiving 1.5k citations
Lester Mackey's Hit Papers
Peers
Comparison fields: 5 of 161
- Health Informatics 80
- Artificial Intelligence 571
- Statistics and Probability 135
- Computational Mathematics 10
- Occupational Therapy 46
Countries citing papers authored by Lester Mackey
This map shows the geographic impact of Lester Mackey'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 Lester Mackey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lester Mackey more than expected).
Fields of papers citing papers by Lester Mackey
This network shows the impact of papers produced by Lester Mackey. 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 Lester Mackey. The network helps show where Lester Mackey may publish in the future.
Co-authors
The 25 scholars most cited alongside Lester Mackey, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms Hit paper breakdown → | 2020 | 306 |
| 2 | 2014 | 162 | |
| 3 | 2014 | 152 | |
| 4 | Deflation Methods for Sparse PCA | 2008 | 123 |
| 5 | 2006 | 91 | |
| 6 | 2018 | 78 | |
| 7 | MATRIX CONCENTRATION INEQUALITIES VIA THE METHOD OF EXCHANGEABLE PAIRS | 2012 | 59 |
| 8 | 2019 | 55 | |
| 9 | 2016 | 48 | |
| 10 | On the Consistency of Ranking Algorithms | 2010 | 45 |
| 11 | 2019 | 39 | |
| 12 | 2021 | 38 | |
| 13 | 2017 | 32 | |
| 14 | 2007 | 29 | |
| 15 | 2013 | 29 | |
| 16 | 2014 | 27 | |
| 17 | 2023 | 25 | |
| 18 | 2006 | 23 | |
| 19 | 2025 | 21 | |
| 20 | 2022 | 20 |
About Lester Mackey
Lester Mackey is a scholar working on Statistics and Probability, Artificial Intelligence, Applied Mathematics, Nuclear and High Energy Physics and Computational Mechanics, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Random Matrices and Applications (7 papers), Markov Chains and Monte Carlo Methods (5 papers), Machine Learning and Algorithms (5 papers), Sparse and Compressive Sensing Techniques (5 papers), Point processes and geometric inequalities (5 papers), Bayesian Methods and Mixture Models (4 papers), Radiation Effects in Electronics (4 papers) and Distributed systems and fault tolerance (4 papers). The work is most often cited by research in Health Informatics (80 citations), Artificial Intelligence (571 citations), Statistics and Probability (135 citations), Computational Mathematics (10 citations) and Occupational Therapy (46 citations). Lester Mackey has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Michael I. Jordan, Ameet Talwalkar, Judah Cohen, Jessica Park Hwang, Elaine Shi, Ling Huang, Emil Stefanov, Eui Chul Richard Shin, Dawn Xiaodong Song and Neil Zhenqiang Gong. Their work appears in journals such as ACM SIGPLAN Notices, Journal of the Royal Statistical Society Series B (Statistical Methodology), BMJ Open, Statistical Science and The Annals of Statistics.
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.