Mark Holmes
Impact in
- Statistics and Probability top 2%
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Inference
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
Papers in
-
- Stochastic processes and statistical mechanics 34
- Mathematical Dynamics and Fractals 4
-
- Markov Chains and Monte Carlo Methods 22
- Random Matrices and Applications 9
- Co-authors
- Ivan Kojadinovic (4 shared papers)Jun Yan (1 shared paper)Remco van der Hofstad (7 shared papers)Thomas S. Salisbury (8 shared papers)Jean‐François Quessy (1 shared paper)Edwin Perkins (4 shared papers)Steven D. Galbraith⋆ (2 shared papers)Akira Sakai (2 shared papers)
- Journals
- The Annals of Probability (4 papers)Electronic Journal of Probability (3 papers)Electronic Communications in Probability (3 papers)Journal of Multivariate Analysis (2 papers)Probability Theory and Related Fields (2 papers)
- Partner nations
- New ZealandAustraliaCanada
In The Last Decade
Mark Holmes
43 papers receiving 382 citations
Peers
Comparison fields: 5 of 73
- Statistics and Probability 208
- Mathematical Physics 180
- Condensed Matter Physics 115
- Finance 74
- Statistics, Probability and Uncertainty 22
Countries citing papers authored by Mark Holmes
This map shows the geographic impact of Mark Holmes'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 Mark Holmes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Holmes more than expected).
Fields of papers citing papers by Mark Holmes
This network shows the impact of papers produced by Mark Holmes. 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 Mark Holmes. The network helps show where Mark Holmes may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Holmes, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 71 | |
| 2 | 2008 | 51 | |
| 3 | 2012 | 48 | |
| 4 | 2008 | 15 | |
| 5 | 2009 | 14 | |
| 6 | 2011 | 11 | |
| 7 | 2011 | 11 | |
| 8 | 2012 | 11 | |
| 9 | 2021 | 11 | |
| 10 | 2007 | 10 | |
| 11 | 2012 | 10 | |
| 12 | 2012 | 9 | |
| 13 | 2011 | 9 | |
| 14 | 2008 | 8 | |
| 15 | 2007 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2016 | 7 | |
| 18 | 2012 | 7 | |
| 19 | 2013 | 7 | |
| 20 | 2016 | 6 |
About Mark Holmes
Mark Holmes is a scholar working on Mathematical Physics, Statistics and Probability, Condensed Matter Physics, Statistical and Nonlinear Physics and Management Science and Operations Research, having authored 50 papers that have together received 400 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (34 papers), Markov Chains and Monte Carlo Methods (22 papers), Theoretical and Computational Physics (21 papers), Random Matrices and Applications (9 papers), Diffusion and Search Dynamics (8 papers), Bayesian Methods and Mixture Models (4 papers), Mathematical Dynamics and Fractals (4 papers) and Advanced Statistical Process Monitoring (3 papers). The work is most often cited by research in Statistics and Probability (208 citations), Mathematical Physics (180 citations), Condensed Matter Physics (115 citations), Finance (74 citations) and Statistics, Probability and Uncertainty (22 citations). Mark Holmes has collaborated with scholars based in New Zealand, Australia and Canada. Frequent co-authors include Ivan Kojadinovic, Jun Yan, Remco van der Hofstad, Thomas S. Salisbury, Jean‐François Quessy, Edwin Perkins, Steven D. Galbraith⋆, Akira Sakai, Rongfeng Sun and Victor Kleptsyn. Their work appears in journals such as The Annals of Probability, Electronic Journal of Probability, Electronic Communications in Probability, Journal of Multivariate Analysis and Probability Theory and Related Fields.
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.