Steve Brooks
Impact in
- Statistics and Probability top 0.5%
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
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- Probabilistic and Robust Engineering Design
Papers in
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- Census and Population Estimation 3
- Statistical Methods and Bayesian Inference 2
- Markov Chains and Monte Carlo Methods 2
- Ecology 2
- Wildlife Ecology and Conservation 2
- Animal Ecology and Behavior Studies 1
- Co-authors
- Andrew Gelman (2 shared papers)Xiao‐Li Meng (2 shared papers)Galin L. Jones (2 shared papers)Ruth King (2 shared papers)Olivier Giménez (1 shared paper)Byron J. T. Morgan (1 shared paper)Kirsty Brown (1 shared paper)G. Douglas Inglis (1 shared paper)
- Journals
- British Journal of Ophthalmology (1 paper)Interface Focus (1 paper)American Journal of Epidemiology (1 paper)Statistics in Medicine (1 paper)Journal of the American Statistical Association (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Steve Brooks
13 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Statistics and Probability 553
- Statistics, Probability and Uncertainty 194
- Artificial Intelligence 525
- Ecological Modeling 62
- Computational Mathematics 6
Countries citing papers authored by Steve Brooks
This map shows the geographic impact of Steve Brooks'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 Steve Brooks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Brooks more than expected).
Fields of papers citing papers by Steve Brooks
This network shows the impact of papers produced by Steve Brooks. 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 Steve Brooks. The network helps show where Steve Brooks may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Brooks, 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 | Handbook of Markov Chain Monte Carlo Hit paper breakdown → | 2011 | 1852 |
| 2 | 2016 | 169 | |
| 3 | 2009 | 166 | |
| 4 | 2008 | 27 | |
| 5 | 2005 | 25 | |
| 6 | 2011 | 25 | |
| 7 | 2007 | 14 | |
| 8 | 2014 | 13 | |
| 9 | Amines worst case studies. Worst case studies on amine emissions from CO2 capture plants (Task 6). | 2008 | 8 |
| 10 | 2012 | 6 | |
| 11 | 1993 | 3 | |
| 12 | 2014 | 2 | |
| 13 | 2010 | 1 |
About Steve Brooks
Steve Brooks is a scholar working on Statistics and Probability, Ecology, Epidemiology, Artificial Intelligence and Small Animals, having authored 13 papers that have together received 2.3k indexed citations. Recurring topics across this work include Census and Population Estimation (3 papers), Statistical Methods and Bayesian Inference (2 papers), Markov Chains and Monte Carlo Methods (2 papers), Wildlife Ecology and Conservation (2 papers), Bayesian Methods and Mixture Models (2 papers), Stochastic processes and statistical mechanics (1 paper), Corneal surgery and disorders (1 paper) and Animal Ecology and Behavior Studies (1 paper). The work is most often cited by research in Statistics and Probability (553 citations), Statistics, Probability and Uncertainty (194 citations), Artificial Intelligence (525 citations), Ecological Modeling (62 citations) and Computational Mathematics (6 citations). Steve Brooks has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Andrew Gelman, Xiao‐Li Meng, Galin L. Jones, Ruth King, Olivier Giménez, Byron J. T. Morgan, Kirsty Brown, G. Douglas Inglis, Martin Kalmokoff and Richard R. E. Uwiera. Their work appears in journals such as British Journal of Ophthalmology, Interface Focus, American Journal of Epidemiology, Statistics in Medicine and Journal of the American Statistical Association.
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.