David John Needham

104 papers receiving 1.6k citations

Peers

David John Needham
Comparison fields: 5 of 67
  • Modeling and Simulation 235
  • Computer Networks and Communications 740
  • Statistical and Nonlinear Physics 319
  • Computational Mechanics 478
  • Numerical Analysis 123
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Andrew J. Bernoff United States
Aizik Volpert Israel
M. Sammartino Italy
P.A. Zegeling Netherlands
Salvatore Rionero Italy
Wiktor Eckhaus Netherlands
Brian Frederick Gray Australia
T. R. Marchant Australia
Christian Elphick Chile
Klaus Kirchgässner Germany
David John Needham relative to Andrew J. Bernoff United States Andrew J. Bernoff's profile →
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Citations per year

Countries citing papers authored by David John Needham

Since Specialization
Citations

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

Fields of papers citing papers by David John Needham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside David John Needham, 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 John Needham Line = papers co-authored together David John Needham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991111
2 1984105
3 198372
4 198969
5 199159
6 198653
7 198949
8 198646
9 199141
10 199041
11 198740
12 199440
13 200438
14 199935
15 199234
16 200233
17 198733
18 199030
19 200829
20 198728

About David John Needham

David John Needham is a scholar working on Computer Networks and Communications, Public Health, Environmental and Occupational Health, Computational Mechanics, Modeling and Simulation and Statistical and Nonlinear Physics, having authored 112 papers that have together received 1.7k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (50 papers), Mathematical and Theoretical Epidemiology and Ecology Models (41 papers), Spectroscopy and Quantum Chemical Studies (17 papers), Fluid Dynamics and Turbulent Flows (15 papers), Evolution and Genetic Dynamics (13 papers), Mathematical Biology Tumor Growth (10 papers), Differential Equations and Numerical Methods (8 papers) and Advanced Thermodynamics and Statistical Mechanics (8 papers). The work is most often cited by research in Modeling and Simulation (235 citations), Computer Networks and Communications (740 citations), Statistical and Nonlinear Physics (319 citations), Computational Mechanics (478 citations) and Numerical Analysis (123 citations). David John Needham has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include John H. Merkin, J. Billingham, Stephen K. Scott, A. C. King, Joan Anne Leach, Richard D. Hey, Alison Lindsey Kay, John C. Meyer, Peter Gray and N. Riley. Their work appears in journals such as Journal of Fluid Mechanics, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Journal of Engineering Mathematics, The Quarterly Journal of Mechanics and Applied Mathematics and Zeitschrift für angewandte Mathematik und Physik.

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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