Todd Oliver

1.7k citations
42 papers · 1.2k · h-index 16

Impact in

Papers in

Todd Oliver

41 papers receiving 1.2k citations

Peers

Todd Oliver
Comparison fields: 5 of 82
  • Computational Mechanics 806
  • Statistics, Probability and Uncertainty 270
  • Statistical and Nonlinear Physics 262
  • Numerical Analysis 80
  • Fluid Flow and Transfer Processes 69
Replace Marc Gerritsma with:
Marc Gerritsma Netherlands
Ernesto E. Prudencio United States
S. S. Ravindran United States
Peter Sturdza United States
Deep Ray United States
Leo G. Rebholz United States
Sean R. Copeland United States
James Reuther United States
Christian Rohde Germany
Richard Pasquetti France
Todd Oliver relative to Marc Gerritsma Netherlands Marc Gerritsma's profile →
Citations per field
00.5×1.5×2.2×
Marc Gerritsma · 1×
Citations per year

Countries citing papers authored by Todd Oliver

Since Specialization
Citations

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

Fields of papers citing papers by Todd Oliver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Todd Oliver, 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 Todd Oliver Line = papers co-authored together Todd Oliver 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 2005306
2 2011211
3 2011103
4 202080
5 201358
6 201454
7 201943
8 200937
9 200733
10 202029
11 201429
12 200926
13 201325
14 201719
15 202116
16 201415
17 201214
18 200111
19 202211
20 201210

About Todd Oliver

Todd Oliver is a scholar working on Computational Mechanics, Aerospace Engineering, Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Mechanical Engineering, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (16 papers), Computational Fluid Dynamics and Aerodynamics (16 papers), Probabilistic and Robust Engineering Design (8 papers), Gas Dynamics and Kinetic Theory (6 papers), Advanced Numerical Methods in Computational Mathematics (6 papers), Model Reduction and Neural Networks (6 papers), Wind and Air Flow Studies (5 papers) and Heat Transfer Mechanisms (4 papers). The work is most often cited by research in Computational Mechanics (806 citations), Statistics, Probability and Uncertainty (270 citations), Statistical and Nonlinear Physics (262 citations), Numerical Analysis (80 citations) and Fluid Flow and Transfer Processes (69 citations). Todd Oliver has collaborated with scholars based in United States and Saudi Arabia. Frequent co-authors include Robert Moser, David Darmofal, Krzysztof Fidkowski, James Lu, Sai Hung Cheung, Ernesto E. Prudencio, Serge Prudhomme, Venkat Raman, David G. Bogard and D. R. Hatch. Their work appears in journals such as Journal of Computational Physics, Plasma Sources Science and Technology, Combustion Theory and Modelling, IEEE Transactions on Medical Imaging and Review of Scientific Instruments.

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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