Galin L. Jones
- Statistics and Probability top 0.2%
- Markov Chains and Monte Carlo Methods 26
- Statistical Methods and Inference 24
- Statistical Methods and Bayesian Inference 9
- Artificial Intelligence top 1%
- Bayesian Methods and Mixture Models 19
- Equine top 5%
- Veterinary Equine Medical Research 6
- Computational Mathematics top 10%
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- Stochastic processes and statistical mechanics 4
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- Muscle metabolism and nutrition 3
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- Liver Disease and Transplantation 3
- Co-authors
- Andrew GelmanXiao‐Li MengSteve BrooksBrian CaffoJames P. HobertJames M. FlegalRonald C. NeathMurali Haran
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of the American Statistical Association (1 paper)Journal of Nutrition (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Galin L. Jones
56 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Statistics and Probability 1.1k
- Statistics, Probability and Uncertainty 255
- Artificial Intelligence 933
- Equine 38
- Computational Mathematics 10
Countries citing papers authored by Galin L. Jones
This map shows the geographic impact of Galin L. Jones'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 Galin L. Jones with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Galin L. Jones more than expected).
Fields of papers citing papers by Galin L. Jones
This network shows the impact of papers produced by Galin L. Jones. 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 Galin L. Jones. The network helps show where Galin L. Jones may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Galin L. Jones, 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 | 2024 | 5 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 4 | |
| 5 | New visualizations for Monte Carlo simulations | 2019 | 1 |
| 6 | 2018 | 4 | |
| 7 | 2017 | 21 | |
| 8 | 2015 | 7 | |
| 9 | 2014 | 24 | |
| 10 | Variable-at-a-time Implementations of Metropolis-Hastings | 2009 | 3 |
| 11 | Component-wise Markov chain Monte Carlo | 2009 | 4 |
| 12 | 2009 | 26 | |
| 13 | Gibbs Sampling for a Bayesian Hierarchical Version of the General Linear Mixed Model | 2007 | 6 |
| 14 | 2006 | 8 | |
| 15 | Ascent-Based Monte Carlo EM | 2003 | 18 |
| 16 | 2003 | 82 | |
| 17 | 2002 | 46 | |
| 18 | 2001 | 19 | |
| 19 | 2001 | 20 | |
| 20 | 2001 | 17 |
About Galin L. Jones
Galin L. Jones is a scholar working on Statistics and Probability, Equine and Computational Mathematics, having authored 58 papers that have together received 3.3k indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (26 papers), Statistical Methods and Inference (24 papers), Bayesian Methods and Mixture Models (19 papers), Statistical Methods and Bayesian Inference (9 papers), Veterinary Equine Medical Research (6 papers), Stochastic processes and statistical mechanics (4 papers), Muscle metabolism and nutrition (3 papers) and Liver Disease and Transplantation (3 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Statistics, Probability and Uncertainty (255 citations) and Artificial Intelligence (933 citations). Galin L. Jones has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Andrew Gelman, Xiao‐Li Meng, Steve Brooks, Brian Caffo, James P. Hobert, James M. Flegal, Ronald C. Neath, Murali Haran, Richard C. Hill and Wolfgang Jank. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Journal of Nutrition.
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.