D. C. Handscomb

36 papers receiving 3.7k citations

D. C. Handscomb's Hit Papers

Chebyshev Polynomials 2002 · 991 citations
9910+20+41Years since publication50010001.5k2.0k

Peers

D. C. Handscomb
Comparison fields: 5 of 176
  • Numerical Analysis 449
  • Statistics, Probability and Uncertainty 402
  • Modeling and Simulation 243
  • Statistics and Probability 449
  • Applied Mathematics 361
Replace Juliette Florentin with:
Juliette Florentin Belgium
John B. Walsh Canada
David J. Jeffrey Canada
D. E. Barton United Kingdom
Kiyosi Itô Japan
Carl Hammer United States
Robert H. Romer United States
Erwin Kreyszig Canada
Ronald F. Boisvert United States
PE United States
D. C. Handscomb relative to Juliette Florentin Belgium Juliette Florentin's profile →
Citations per field
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Juliette Florentin · 1×
Citations per year

Countries citing papers authored by D. C. Handscomb

Since Specialization
Citations

This map shows the geographic impact of D. 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 D. 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 D. C. Handscomb more than expected).

Fields of papers citing papers by D. C. Handscomb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside D. 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 D. C. Handscomb Line = papers co-authored together D. 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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Monte Carlo Methods
Hit paper breakdown →
19642407
2
Chebyshev Polynomials
Hit paper breakdown →
2002991
3 1962118
4 196597
5 196480
6 196760
7 196653
8 196052
9 195848
10 198447
11 196542
12 195729
13 195823
14 196414
15 196412
16 196412
17 196410
18 198410
19 19649
20 19939

About D. C. Handscomb

D. C. Handscomb is a scholar working on Condensed Matter Physics, Computational Mechanics, Computer Graphics and Computer-Aided Design, Mathematical Physics and Statistics and Probability, having authored 42 papers that have together received 4.2k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (6 papers), Computational Geometry and Mesh Generation (4 papers), Advanced Numerical Analysis Techniques (4 papers), Mathematical Approximation and Integration (3 papers), Stochastic processes and statistical mechanics (3 papers), Electromagnetic Scattering and Analysis (2 papers), Markov Chains and Monte Carlo Methods (2 papers) and Advanced Theoretical and Applied Studies in Material Sciences and Geometry (2 papers). The work is most often cited by research in Numerical Analysis (449 citations), Statistics, Probability and Uncertainty (402 citations), Modeling and Simulation (243 citations), Statistics and Probability (449 citations) and Applied Mathematics (361 citations). D. C. Handscomb has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include J. M. Hammersley, J. C. Mason, P. Prescott, C. L. Mallows, Lloyd D. Fosdick, John H. Halton, George H. Weiss, D. F. Mayers and M. J. D. Powell. Their work appears in journals such as Mathematical Proceedings of the Cambridge Philosophical Society, Applied Mathematical Modelling, Journal of the Royal Statistical Society Series C (Applied Statistics), IMA Journal of Numerical Analysis and Journal of the ACM.

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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