Jackson Gorham
Impact in
- Statistics and Probability top 10%
- Statistical Methods and Bayesian Inference
- Markov Chains and Monte Carlo Methods
- Statistical Distribution Estimation and Applications
- Random Matrices and Applications
- Statistical Methods and Inference
Papers in
-
- Markov Chains and Monte Carlo Methods 5
- Random Matrices and Applications 4
- Statistical Methods and Bayesian Inference 2
- Statistical Methods and Inference 2
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- Bayesian Methods and Mixture Models 2
- Co-authors
- Lester Mackey (6 shared papers)Matthew Kahle (2 shared papers)Jeremy K. Mason (2 shared papers)Gunnar Carlsson (1 shared paper)Chris J. Oates (5 shared papers)François‐Xavier Briol (4 shared papers)Christophe Ley (3 shared papers)Gesine Reinert (3 shared papers)
- Journals
- Statistical Science (1 paper)Kent Academic Repository (University of Kent) (1 paper)Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (1 paper)arXiv (Cornell University) (3 papers)Neural Information Processing Systems (1 paper)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Jackson Gorham
9 papers receiving 66 citations
Peers
Comparison fields: 5 of 33
- Statistics and Probability 32
- Mathematical Physics 13
- Discrete Mathematics and Combinatorics 4
- Computer Graphics and Computer-Aided Design 4
- Computational Theory and Mathematics 13
Countries citing papers authored by Jackson Gorham
This map shows the geographic impact of Jackson Gorham'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 Jackson Gorham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jackson Gorham more than expected).
Fields of papers citing papers by Jackson Gorham
This network shows the impact of papers produced by Jackson Gorham. 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 Jackson Gorham. The network helps show where Jackson Gorham may publish in the future.
Co-authors
The 13 scholars most cited alongside Jackson Gorham, 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 | 2012 | 24 | |
| 2 | 2022 | 16 | |
| 3 | Measuring sample quality with Stein's method | 2015 | 11 |
| 4 | Measuring Sample Quality with Kernels | 2017 | 5 |
| 5 | 2019 | 5 | |
| 6 | Stein's Method Meets Statistics: A Review of Some Recent Developments | 2021 | 3 |
| 7 | Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy | 2021 | 2 |
| 8 | 2012 | 2 | |
| 9 | 2021 | 1 |
About Jackson Gorham
Jackson Gorham is a scholar working on Statistics and Probability, Artificial Intelligence, Condensed Matter Physics, Discrete Mathematics and Combinatorics and Computational Theory and Mathematics, having authored 9 papers that have together received 69 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (5 papers), Random Matrices and Applications (4 papers), Statistical Methods and Bayesian Inference (2 papers), Statistical Methods and Inference (2 papers), Theoretical and Computational Physics (2 papers), Bayesian Methods and Mixture Models (2 papers), Advanced Statistical Process Monitoring (1 paper) and Material Dynamics and Properties (1 paper). The work is most often cited by research in Statistics and Probability (32 citations), Mathematical Physics (13 citations), Discrete Mathematics and Combinatorics (4 citations), Computer Graphics and Computer-Aided Design (4 citations) and Computational Theory and Mathematics (13 citations). Jackson Gorham has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Lester Mackey, Matthew Kahle, Jeremy K. Mason, Gunnar Carlsson, Chris J. Oates, François‐Xavier Briol, Christophe Ley, Gesine Reinert, Yvik Swan and Onur Teymur. Their work appears in journals such as Statistical Science, Kent Academic Repository (University of Kent), Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles), arXiv (Cornell University) and Neural Information Processing Systems.
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.