John Hammersley

97 papers receiving 9.5k citations

John Hammersley's Hit Papers

Monte Carlo Methods 1964 · 3k citations
3k0+23+46Years since publication1k2k3k

Peers

John Hammersley
Comparison fields: 5 of 188
  • Condensed Matter Physics 2k
  • Mathematical Physics 1.9k
  • Numerical Analysis 395
  • Discrete Mathematics and Combinatorics 370
  • Statistics and Probability 1k
Replace William Feller with:
William Feller United States
Philip Μ. Morse United States
R. A. Silverman United States
D. B. Owen United States
Mark Kac United States
James Hardy Wilkinson United Kingdom
Stephen Wolfram United States
J. Laurie Snell United States
Josef Stoer Germany
Patrick Billingsley United States
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Countries citing papers authored by John Hammersley

Since Specialization
Citations

This map shows the geographic impact of John Hammersley'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 John Hammersley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Hammersley more than expected).

Fields of papers citing papers by John Hammersley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Hammersley. 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 John Hammersley. The network helps show where John Hammersley may publish in the future.

Co-authors

The 25 scholars most cited alongside John Hammersley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Hammersley Line = papers co-authored together John Hammersley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Monte Carlo Methods
Hit paper breakdown →
19643025
2
Percolation processes
Hit paper breakdown →
19571544
3
The shortest path through many points
Hit paper breakdown →
1959704
4 1984448
5
Markov fields on finite graphs and lattices
1971392
6 1960373
7 1957309
8 1954239
9 1963232
10 1961200
11 1956190
12 1971180
13 1974173
14 1965165
15 1962157
16 1961152
17 1972142
18 1962140
19 1982137
20 1957110

About John Hammersley

John Hammersley is a scholar working on Mathematical Physics, Statistics and Probability, Numerical Analysis, Discrete Mathematics and Combinatorics and Condensed Matter Physics, having authored 101 papers that have together received 10.6k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (36 papers), Theoretical and Computational Physics (18 papers), Mathematical Approximation and Integration (13 papers), Probability and Statistical Research (12 papers), Markov Chains and Monte Carlo Methods (12 papers), Advanced Combinatorial Mathematics (12 papers), Simulation Techniques and Applications (6 papers) and Mathematical functions and polynomials (4 papers). The work is most often cited by research in Condensed Matter Physics (2k citations), Mathematical Physics (1.9k citations), Numerical Analysis (395 citations), Discrete Mathematics and Combinatorics (370 citations) and Statistics and Probability (1k citations). John Hammersley has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include David C. Handscomb, Simon Broadbent, H. L. Frisch, John H. Halton, Dominic J. A. Welsh, Harry Kesten, K. William Morton, Peter Clifford, Stuart G. Whittington and V. A. Vyssotsky. Their work appears in journals such as Mathematical Proceedings of the Cambridge Philosophical Society, Journal of the Royal Statistical Society Series B (Statistical Methodology), Journal of Applied Probability, Bulletin of the London Mathematical Society and Biometrika.

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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