J. Theodore Cox
- Mathematical Physics top 1%
- Stochastic processes and statistical mechanics 49
- Mathematical Dynamics and Fractals 9
- Statistics and Probability top 1%
- Markov Chains and Monte Carlo Methods 20
- Random Matrices and Applications 11
- Condensed Matter Physics top 5%
- Theoretical and Computational Physics 25
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- Opinion Dynamics and Social Influence 13
- Complex Network Analysis Techniques 5
- Finance top 5%
- Stochastic processes and financial applications 5
- Co-authors
- Richard DurrettDavid GriffeathAndreas GrevenMaury BramsonGeoffrey GrimmettHarry KestenEdwin PerkinsR. Durrett
- Journals
- Transactions of the American Mathematical Society (1 paper)Journal of Statistical Physics (1 paper)The Annals of Probability (21 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
J. Theodore Cox
60 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 74
- Mathematical Physics 828
- Statistics and Probability 382
- Condensed Matter Physics 371
- Statistical and Nonlinear Physics 372
- Finance 128
Countries citing papers authored by J. Theodore Cox
This map shows the geographic impact of J. Theodore Cox'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 J. Theodore Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Theodore Cox more than expected).
Fields of papers citing papers by J. Theodore Cox
This network shows the impact of papers produced by J. Theodore Cox. 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 J. Theodore Cox. The network helps show where J. Theodore Cox may publish in the future.
Co-authorship network
The 20 scholars most cited alongside J. Theodore Cox, 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 | 2016 | 4 | |
| 2 | 2016 | 11 | |
| 3 | 2014 | 0 | |
| 4 | 2011 | 19 | |
| 5 | RESCALED LOTKA–VOLTERRA MODELS CONVERGE TO SUPER-BROWNIAN MOTION | 2008 | 8 |
| 6 | 2003 | 5 | |
| 7 | 2002 | 45 | |
| 8 | 1998 | 21 | |
| 9 | 1994 | 3 | |
| 10 | 1991 | 1 | |
| 11 | 1989 | 127 | |
| 12 | 1988 | 72 | |
| 13 | 1988 | 13 | |
| 14 | 1986 | 12 | |
| 15 | 1985 | 50 | |
| 16 | 1984 | 22 | |
| 17 | 1984 | 13 | |
| 18 | 1983 | 27 | |
| 19 | 1980 | 21 | |
| 20 | 1979 | 0 |
About J. Theodore Cox
J. Theodore Cox is a scholar working on Mathematical Physics, Statistics and Probability and Condensed Matter Physics, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (49 papers), Theoretical and Computational Physics (25 papers), Markov Chains and Monte Carlo Methods (20 papers), Opinion Dynamics and Social Influence (13 papers), Random Matrices and Applications (11 papers), Mathematical Dynamics and Fractals (9 papers), Complex Network Analysis Techniques (5 papers) and Stochastic processes and financial applications (5 papers). The work is most often cited by research in Mathematical Physics (828 citations), Statistics and Probability (382 citations) and Condensed Matter Physics (371 citations). J. Theodore Cox has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Richard Durrett, David Griffeath, Andreas Greven, Maury Bramson, Geoffrey Grimmett, Harry Kesten, Edwin Perkins, R. Durrett, Rick Durrett and Uwe Rösler. Their work appears in journals such as Transactions of the American Mathematical Society, Journal of Statistical Physics and The Annals of Probability.
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.