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- Robin Pemantle

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
disciplines.
Citations
Publications
World Ranking
National Ranking

Mathematics
D-index
40
Citations
7,643
152
World Ranking
1364
National Ranking
617

2013 - Fellow of the American Mathematical Society

1993 - Fellow of Alfred P. Sloan Foundation

- Combinatorics
- Mathematical analysis
- Algebra

Robin Pemantle mostly deals with Combinatorics, Discrete mathematics, Random walk, Mathematical proof and Stochastic process. His Combinatorics research is multidisciplinary, incorporating perspectives in Order and Meromorphic function. In the field of Discrete mathematics, his study on Loop-erased random walk overlaps with subjects such as Dynamical system.

His Random walk research is multidisciplinary, relying on both Statistical physics, Branching process, Harmonic measure and Vertex. His Mathematical proof research integrates issues from Branching random walk, Pure mathematics, Self-avoiding walk, Law of large numbers and Galton watson. His Stochastic process research is multidisciplinary, incorporating elements of Critical point, Convergence and Vector-valued function.

- A Dynamic Model of Social Network Formation (468 citations)
- A survey of random processes with reinforcement (465 citations)
- Conceptual proofs of L log L criteria for mean behavior of branching processes (393 citations)

His primary areas of investigation include Combinatorics, Discrete mathematics, Random walk, Pure mathematics and Mathematical analysis. His research in Combinatorics intersects with topics in Measure and Random variable. His Discrete mathematics research includes themes of Mathematical proof and Random field, Random element.

The study incorporates disciplines such as Stochastic process, Statistical physics, Markov chain and Random graph in addition to Random walk. His Pure mathematics research is multidisciplinary, relying on both Analytic combinatorics, Bounded function and Ising model. In his study, which falls under the umbrella issue of Percolation, Poisson distribution and First passage percolation is strongly linked to Exponential function.

- Combinatorics (56.74%)
- Discrete mathematics (31.16%)
- Random walk (18.14%)

- Combinatorics (56.74%)
- Randomness (4.19%)
- Econometrics (4.19%)

His primary scientific interests are in Combinatorics, Randomness, Econometrics, Discrete mathematics and Estimation. His Combinatorics study combines topics in areas such as Random variable, Pure mathematics, Upper and lower bounds, Computation and Random walk. Robin Pemantle has included themes like Random binary tree, Markov chain and Random graph in his Random variable study.

His biological study spans a wide range of topics, including Space, Positive-definite matrix and Generating function. Robin Pemantle studies Random walk, namely Loop-erased random walk. Robin Pemantle interconnects Longest increasing subsequence, Central limit theorem and First passage percolation in the investigation of issues within Discrete mathematics.

- Concentration of Lipschitz functionals of determinantal and other strong Rayleigh measures (52 citations)
- Standards for Experimental Research: Encouraging a Better Understanding of Experimental Methods (38 citations)
- The Perils of Balance Testing in Experimental Design: Messy Analyses of Clean Data (36 citations)

- Combinatorics
- Mathematical analysis
- Algebra

Robin Pemantle spends much of his time researching Combinatorics, Econometrics, Random walk, Discrete mathematics and Information Framework. The concepts of his Combinatorics study are interwoven with issues in Cluster algebra, Minimum bounding rectangle and Random variable. His studies in Random variable integrate themes in fields like Multivariate normal distribution and Spanning tree.

His Econometrics research incorporates elements of Event and Noise. The Random walk study combines topics in areas such as Trace, Longest increasing subsequence and Finite variance. His study in Discrete mathematics is interdisciplinary in nature, drawing from both Function, Concentration inequality and Lipschitz continuity.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

A survey of random processes with reinforcement

Robin Pemantle.

Probability Surveys **(2007)**

756 Citations

A Dynamic Model of Social Network Formation

Brian Skyrms;Robin Pemantle.

Proceedings of the National Academy of Sciences of the United States of America **(2000)**

726 Citations

Conceptual proofs of L log L criteria for mean behavior of branching processes

Russell Lyons;Robin Pemantle;Yuval Peres.

Annals of Probability **(1995)**

462 Citations

Choosing a Spanning Tree for the Integer Lattice Uniformly

Robin Pemantle.

Annals of Probability **(1991)**

419 Citations

Nonconvergence to Unstable Points in Urn Models and Stochastic Approximations

Robin Pemantle.

Annals of Probability **(1990)**

315 Citations

Local Characteristics, Entropy and Limit Theorems for Spanning Trees and Domino Tilings Via Transfer-Impedances

Robert Burton;Robin Pemantle.

Annals of Probability **(1993)**

271 Citations

Towards a theory of negative dependence

Robin Pemantle.

Journal of Mathematical Physics **(2000)**

248 Citations

Phase transition in reinforced random walk and RWRE on trees

Robin Pemantle.

Annals of Probability **(1988)**

241 Citations

The Contact Process on Trees

Robin Pemantle.

Annals of Probability **(1992)**

234 Citations

Ergodic theory on Galton—Watson trees: speed of random walk and dimension of harmonic measure

Russell Lyons;Robin Pemantle;Yuval Peres.

Ergodic Theory and Dynamical Systems **(1995)**

198 Citations

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