Eric C. Cyr

1.1k citations
42 papers · 706 · h-index 15

Impact in

    • Advanced Numerical Methods in Computational Mathematics
    • Computational Fluid Dynamics and Aerodynamics
    • Fluid Dynamics and Turbulent Flows
    • Numerical methods for differential equations

Papers in

Eric C. Cyr

41 papers receiving 678 citations

Peers

Eric C. Cyr
Comparison fields: 5 of 61
  • Computational Mechanics 421
  • Numerical Analysis 93
  • Statistical and Nonlinear Physics 204
  • Computational Mathematics 5
  • Computational Theory and Mathematics 125
Replace Will Pazner with:
Will Pazner United States
Stefano Zampini Saudi Arabia
Vladimir Tomov United States
Katharina Kormann Germany
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Citations per field
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Citations per year

Countries citing papers authored by Eric C. Cyr

Since Specialization
Citations

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

Fields of papers citing papers by Eric C. Cyr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric C. Cyr. 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 Eric C. Cyr. The network helps show where Eric C. Cyr may publish in the future.

Co-authors

The 25 scholars most cited alongside Eric C. Cyr, 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 Eric C. Cyr Line = papers co-authored together Eric C. Cyr 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 2021104
2 202066
3 201350
4 201645
5 201636
6 200935
7 201634
8 202033
9 201129
10 201429
11 202024
12 202119
13 200619
14 201615
15 201715
16 201913
17 201413
18 201513
19 201111
20 202011

About Eric C. Cyr

Eric C. Cyr is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Aerospace Engineering and Electrical and Electronic Engineering, having authored 42 papers that have together received 706 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (18 papers), Model Reduction and Neural Networks (12 papers), Matrix Theory and Algorithms (7 papers), Computational Fluid Dynamics and Aerodynamics (7 papers), Numerical methods for differential equations (6 papers), Probabilistic and Robust Engineering Design (5 papers), Parallel Computing and Optimization Techniques (5 papers) and Fluid Dynamics and Turbulent Flows (4 papers). The work is most often cited by research in Computational Mechanics (421 citations), Numerical Analysis (93 citations), Statistical and Nonlinear Physics (204 citations), Computational Mathematics (5 citations) and Computational Theory and Mathematics (125 citations). Eric C. Cyr has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include John N. Shadid, Roger P. Pawlowski, Raymond S. Tuminaro, Mitchell Wood, Nathaniel Trask, Ravi G. Patel, Stephen Bond, Luis Chacòn, Myoungkyu Lee and Ignacio Tomaš. Their work appears in journals such as Journal of Computational Physics, SIAM Journal on Scientific Computing, Computer Methods in Applied Mechanics and Engineering, Journal of Fusion Energy and Journal of Computational Chemistry.

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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