Wilson Lamb

1.2k citations
52 papers · 801 · h-index 15

Impact in

Papers in

    • Navier-Stokes equation solutions 9
    • Nonlinear Partial Differential Equations 7
    • Differential Equations and Boundary Problems 6
    • Mathematical Analysis and Transform Methods 6
    • Mathematical and Theoretical Analysis 6
    • Stochastic processes and statistical mechanics 6

Wilson Lamb

50 papers receiving 728 citations

Peers

Wilson Lamb
Comparison fields: 5 of 81
  • Modeling and Simulation 114
  • Applied Mathematics 200
  • Mathematical Physics 153
  • Water Science and Technology 150
  • Numerical Analysis 51
Replace Sergey V. Meleshko with:
Sergey V. Meleshko Thailand
Shamsul Qamar Pakistan
E.M. Hendriks Netherlands
Б. А. Мамедов Türkiye
Govind Menon United States
Nalini Joshi Australia
А. В. Шаповалов Russia
N. Kh. Ibragimov Sweden
Roman Sikorski Poland
Olivier Coulaud France
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Citations per field
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Sergey V. Meleshko · 1×
Citations per year

Countries citing papers authored by Wilson Lamb

Since Specialization
Citations

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

Fields of papers citing papers by Wilson Lamb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Wilson Lamb, 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 Wilson Lamb Line = papers co-authored together Wilson Lamb links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981191
2 198170
3 199750
4 199749
5 198144
6 200428
7 200926
8 197818
9 200318
10 201118
11 201217
12 199015
13 201215
14 201115
15 199615
16 198514
17 198113
18 200913
19 198412
20 201912

About Wilson Lamb

Wilson Lamb is a scholar working on Applied Mathematics, Mathematical Physics, Water Science and Technology, Modeling and Simulation and Numerical Analysis, having authored 52 papers that have together received 801 indexed citations. Recurring topics across this work include Coagulation and Flocculation Studies (16 papers), Navier-Stokes equation solutions (9 papers), Fractional Differential Equations Solutions (8 papers), Nonlinear Partial Differential Equations (7 papers), Mathematical and Theoretical Analysis (6 papers), Stochastic processes and statistical mechanics (6 papers), Differential Equations and Boundary Problems (6 papers) and Mathematical Analysis and Transform Methods (6 papers). The work is most often cited by research in Modeling and Simulation (114 citations), Applied Mathematics (200 citations), Mathematical Physics (153 citations), Water Science and Technology (150 citations) and Numerical Analysis (51 citations). Wilson Lamb has collaborated with scholars based in United Kingdom, South Africa and United States. Frequent co-authors include J. Jonás̆, Gabriela Hoffman, Jacek Banasiak, Adam C. McBride, D.J. McLaughlin, Dennis L. Hasha, Taro Eguchi, Paul A. Mulheran, Michael Grinfeld and Philippe Laurençot. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Mathematical Methods in the Applied Sciences, The Journal of Chemical Physics, Proceedings of the Edinburgh Mathematical Society and Proceedings of the Royal Society of Edinburgh Section A Mathematics.

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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