Sheehan Olver

2.0k citations
45 papers · 999 · h-index 19

Impact in

Papers in

Sheehan Olver

41 papers receiving 931 citations

Peers

Sheehan Olver
Comparison fields: 5 of 60
  • Numerical Analysis 309
  • Modeling and Simulation 257
  • Applied Mathematics 475
  • Mathematical Physics 150
  • Statistical and Nonlinear Physics 194
Replace Masaaki Sugihara with:
Masaaki Sugihara Japan
Ram P. Kanwal United States
José L. López Spain
Marco Caliari Italy
Mohammed Lemou France
Martin H. Gutknecht Switzerland
Takayasu Matsuo Japan
Siegfried Prößdorf Germany
Jayme Vaz Brazil
Erwan Faou France
Sheehan Olver relative to Masaaki Sugihara Japan Masaaki Sugihara's profile →
Citations per field
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Masaaki Sugihara · 1×
Citations per year

Countries citing papers authored by Sheehan Olver

Since Specialization
Citations

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

Fields of papers citing papers by Sheehan Olver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Sheehan Olver, 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 Sheehan Olver Line = papers co-authored together Sheehan Olver links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005142
2 2013131
3 201565
4 200748
5 201042
6 200741
7 201540
8 201233
9 201129
10 201629
11 201229
12 202026
13 201026
14 200625
15 201124
16 201524
17 201422
18 201221
19 200918
20 200918

About Sheehan Olver

Sheehan Olver is a scholar working on Applied Mathematics, Numerical Analysis, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 45 papers that have together received 999 indexed citations. Recurring topics across this work include Mathematical functions and polynomials (25 papers), Matrix Theory and Algorithms (13 papers), Electromagnetic Scattering and Analysis (12 papers), Numerical methods for differential equations (10 papers), Nonlinear Waves and Solitons (8 papers), Iterative Methods for Nonlinear Equations (8 papers), Fractional Differential Equations Solutions (7 papers) and Random Matrices and Applications (4 papers). The work is most often cited by research in Numerical Analysis (309 citations), Modeling and Simulation (257 citations), Applied Mathematics (475 citations), Mathematical Physics (150 citations) and Statistical and Nonlinear Physics (194 citations). Sheehan Olver has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Alex Townsend, Thomas Trogdon, Yuan Xu, Daan Huybrechs, Bernard Deconinck, Nicholas Hale, Keaton J. Burns, Benjamin P. Brown, Daniel Lecoanet and Jeffrey S. Oishi. Their work appears in journals such as Foundations of Computational Mathematics, IMA Journal of Numerical Analysis, Mathematics of Computation, Numerische Mathematik and SIAM Journal on Scientific Computing.

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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