Alan Stacey
Impact in
- Mathematical Physics top 2%
- Stochastic processes and statistical mechanics
- Mathematical Dynamics and Fractals
- Statistics and Probability top 2%
- Markov Chains and Monte Carlo Methods
- Random Matrices and Applications
Papers in
-
- Stochastic processes and statistical mechanics 11
-
- Markov Chains and Monte Carlo Methods 8
- Co-authors
- Thomas M. Liggett (1 shared paper)Roberto H. Schonmann (1 shared paper)Mark S. Joshi (3 shared papers)Robin Pemantle (1 shared paper)Geoffrey Grimmett (1 shared paper)Paul Balister (3 shared papers)Béla Bollobás (2 shared papers)B Bollobás (1 shared paper)
- Journals
- The Annals of Probability (4 papers)Probability Theory and Related Fields (2 papers)Journal of Combinatorial Theory Series B (1 paper)Random Structures and Algorithms (1 paper)Quantitative Finance (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Alan Stacey
16 papers receiving 410 citations
Peers
Comparison fields: 5 of 47
- Mathematical Physics 354
- Statistics and Probability 242
- Condensed Matter Physics 169
- Statistical and Nonlinear Physics 86
- Finance 54
Countries citing papers authored by Alan Stacey
This map shows the geographic impact of Alan Stacey'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 Alan Stacey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Stacey more than expected).
Fields of papers citing papers by Alan Stacey
This network shows the impact of papers produced by Alan Stacey. 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 Alan Stacey. The network helps show where Alan Stacey may publish in the future.
Co-authors
The 8 scholars most cited alongside Alan Stacey, 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 | 1997 | 203 | |
| 2 | 2001 | 41 | |
| 3 | 2006 | 39 | |
| 4 | 1996 | 36 | |
| 5 | 1998 | 32 | |
| 6 | 2000 | 19 | |
| 7 | 2001 | 18 | |
| 8 | 2003 | 17 | |
| 9 | 1994 | 16 | |
| 10 | 2008 | 12 | |
| 11 | 1993 | 7 | |
| 12 | 1997 | 7 | |
| 13 | 2006 | 6 | |
| 14 | 2003 | 5 | |
| 15 | 1995 | 4 | |
| 16 | 1999 | 2 |
About Alan Stacey
Alan Stacey is a scholar working on Mathematical Physics, Statistics and Probability, Condensed Matter Physics, Statistical and Nonlinear Physics and Finance, having authored 16 papers that have together received 464 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (11 papers), Markov Chains and Monte Carlo Methods (8 papers), Theoretical and Computational Physics (7 papers), Complex Network Analysis Techniques (3 papers), Credit Risk and Financial Regulations (3 papers), Stochastic processes and financial applications (3 papers), Advanced Graph Theory Research (3 papers) and Limits and Structures in Graph Theory (2 papers). The work is most often cited by research in Mathematical Physics (354 citations), Statistics and Probability (242 citations), Condensed Matter Physics (169 citations), Statistical and Nonlinear Physics (86 citations) and Finance (54 citations). Alan Stacey has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Thomas M. Liggett, Roberto H. Schonmann, Mark S. Joshi, Robin Pemantle, Geoffrey Grimmett, Paul Balister, Béla Bollobás and B Bollobás. Their work appears in journals such as The Annals of Probability, Probability Theory and Related Fields, Journal of Combinatorial Theory Series B, Random Structures and Algorithms and Quantitative Finance.
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.