Ian Knowles

834 citations
48 papers · 547 · h-index 14

Impact in

Papers in

Ian Knowles

44 papers receiving 487 citations

Peers

Ian Knowles
Comparison fields: 5 of 77
  • Mathematical Physics 344
  • Computational Theory and Mathematics 188
  • Applied Mathematics 122
  • Numerical Analysis 40
  • Statistical and Nonlinear Physics 64
Replace Michael Pilant with:
Michael Pilant United States
Anvarbek Meirmanov Russia
Mourad Choulli France
П. Н. Вабищевич Russia
Claus Müller Germany
A. P. Mikhailov Russia
Larisa Beilina Sweden
Xiaopeng Zhao China
Maxim Shishlenin Russia
Athanasios E. Tzavaras United States
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Citations per field
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Citations per year

Countries citing papers authored by Ian Knowles

Since Specialization
Citations

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

Fields of papers citing papers by Ian Knowles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ian Knowles, 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 Ian Knowles Line = papers co-authored together Ian Knowles links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200151
2 199538
3 199831
4 200330
5 198129
6 201828
7 199927
8 200527
9 200322
10 198621
11 201617
12 200416
13 197715
14 200415
15 199413
16 197910
17 198710
18 197810
19 198010
20 19859

About Ian Knowles

Ian Knowles is a scholar working on Mathematical Physics, Computational Theory and Mathematics, Applied Mathematics, Statistical and Nonlinear Physics and Environmental Engineering, having authored 48 papers that have together received 547 indexed citations. Recurring topics across this work include Spectral Theory in Mathematical Physics (19 papers), Advanced Mathematical Modeling in Engineering (15 papers), Numerical methods in inverse problems (13 papers), Differential Equations and Boundary Problems (10 papers), Groundwater flow and contamination studies (6 papers), Seismic Imaging and Inversion Techniques (4 papers), Numerical methods for differential equations (3 papers) and Quantum chaos and dynamical systems (3 papers). The work is most often cited by research in Mathematical Physics (344 citations), Computational Theory and Mathematics (188 citations), Applied Mathematics (122 citations), Numerical Analysis (40 citations) and Statistical and Nonlinear Physics (64 citations). Ian Knowles has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include B. M. Brown, Robert W. Wallace, Aimin Yan, Rudi Weikard, Marco Marletta, W. D. Evans, W. N. Everitt, Kazuhiro Ito, Yoshimi Saitō and Garth Rapeport. Their work appears in journals such as Proceedings of the Royal Society of Edinburgh Section A Mathematics, Inverse Problems, Journal of Computational and Applied Mathematics, Proceedings of the American Mathematical Society and Journal of Differential Equations.

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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