David C. Handscomb

6.4k citations
41 papers · 3.8k · 1 hit paper · h-index 13

Impact in

Papers in

David C. Handscomb

36 papers receiving 3.3k citations

David C. Handscomb's Hit Papers

Monte Carlo Methods 1964 · 3k citations
3k0+20+41Years since publication1k2k3k

Peers

David C. Handscomb
Comparison fields: 5 of 171
  • Numerical Analysis 237
  • Statistics and Probability 583
  • Condensed Matter Physics 393
  • Statistics, Probability and Uncertainty 273
  • Management Science and Operations Research 414
Replace John Hammersley with:
John Hammersley United Kingdom
Makoto Matsumoto Japan
George Marsaglia United States
Takuji Nishimura Japan
Gordon Frank Newell United States
A. T. Bharucha-Reid United States
James Hardy Wilkinson United Kingdom
Paula A. Whitlock United States
Kurt E. Shuler United States
Roland Z. Bulirsch Germany
David C. Handscomb relative to John Hammersley United Kingdom John Hammersley's profile →
Citations per field
00.5×1.5×
John Hammersley · 1×
Citations per year

Countries citing papers authored by David C. Handscomb

Since Specialization
Citations

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

Fields of papers citing papers by David C. Handscomb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Handscomb. 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 David C. Handscomb. The network helps show where David C. Handscomb may publish in the future.

Co-authors

The 8 scholars most cited alongside David C. Handscomb, 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 David C. Handscomb Line = papers co-authored together David C. Handscomb links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Monte Carlo Methods
Hit paper breakdown →
19643025
2 1962121
3 196591
4 196481
5 196052
6 196752
7 196648
8 195847
9 198445
10 196543
11 195728
12 195822
13 196414
14 196412
15 198412
16 196411
17 196411
18 199311
19
Les méthodes de Monte-Carlo
19677
20 19876

About David C. Handscomb

David C. Handscomb is a scholar working on Numerical Analysis, Statistics and Probability, Condensed Matter Physics, Applied Mathematics and Computational Mechanics, having authored 41 papers that have together received 3.8k indexed citations. Recurring topics across this work include Mathematical Approximation and Integration (14 papers), Markov Chains and Monte Carlo Methods (10 papers), Advanced Numerical Analysis Techniques (8 papers), Theoretical and Computational Physics (7 papers), Mathematical functions and polynomials (6 papers), Probability and Statistical Research (5 papers), Stochastic processes and statistical mechanics (2 papers) and Matrix Theory and Algorithms (2 papers). The work is most often cited by research in Numerical Analysis (237 citations), Statistics and Probability (583 citations), Condensed Matter Physics (393 citations), Statistics, Probability and Uncertainty (273 citations) and Management Science and Operations Research (414 citations). David C. Handscomb has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include John Hammersley, Phil Prescott, Lloyd D. Fosdick, C. L. Mallows, John H. Halton, George H. Weiss, David F. Mayers and M. J. D. Powell. Their work appears in journals such as Mathematical Proceedings of the Cambridge Philosophical Society, Applied Mathematical Modelling, IMA Journal of Numerical Analysis, Numerische Mathematik and The Computer Journal.

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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