J. Theodore Cox

2.4k citations
62 papers · 1.3k indexed · h-index 22
Topics
Stochastic processes and statistical mechanics (49 papers)Theoretical and Computational Physics (25 papers)Markov Chains and Monte Carlo Methods (20 papers)

In The Last Decade

J. Theodore Cox

60 papers receiving 1.2k citations

Peers

J. Theodore Cox
Comparison fields: 5 of 74
  • Mathematical Physics 828
  • Statistics and Probability 382
  • Statistical and Nonlinear Physics 372
  • Condensed Matter Physics 371
  • Genetics 168
Replace David Griffeath with:
David Griffeath United States
Steven N. Evans United States
Vladimir Vatutin Russia
Peter Jagers Sweden
C. Kipnis France
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Erwin Bolthausen Switzerland
J. Theodore Cox relative to David Griffeath United States David Griffeath's profile →
Citations per field
00.5×1.5×
David Griffeath · 1×
Citations per year

Countries citing papers authored by J. Theodore Cox

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of J. Theodore Cox

This figure shows the co-authorship network connecting the top 25 collaborators of J. Theodore Cox. A scholar is included among the top collaborators of J. Theodore Cox based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Theodore Cox. J. Theodore Cox is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 11
3 0
4 19
5
RESCALED LOTKA–VOLTERRA MODELS CONVERGE TO SUPER-BROWNIAN MOTION
8
6 5
7 45
8 21
9 3
10 1
11 127
12 72
13 13
14 12
15 50
16 22
17 13
18 27
19 21
20 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) and Markov Chains and Monte Carlo Methods (20 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.

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