Patrick Blonigan

700 citations
44 papers · 532 · h-index 13

Impact in

Papers in

Patrick Blonigan

41 papers receiving 523 citations

Peers

Patrick Blonigan
Comparison fields: 5 of 39
  • Statistical and Nonlinear Physics 273
  • Numerical Analysis 59
  • Computational Mechanics 223
  • Mathematical Physics 100
  • Statistics, Probability and Uncertainty 36
Replace Masayuki Yano with:
Masayuki Yano United States
Mohammad Motamed United States
Sidi Mahmoud Kaber France
Viêt Hà Hòang Singapore
Ulrik Skre Fjordholm Norway
Vladimir G. Danilov Russia
Panagiotis Stinis United States
L. Machiels United States
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Alexey Chernov Germany
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Citations per field
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Masayuki Yano · 1×
Citations per year

Countries citing papers authored by Patrick Blonigan

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Blonigan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014133
2 201436
3 201736
4 201731
5 201929
6 201728
7 202128
8
Are extreme dissipation events predictable in turbulent fluid flows?
201825
9 201322
10 201422
11 201716
12 201415
13 202013
14 202011
15 20168
16 20168
17 20147
18 20177
19 20196
20 20236

About Patrick Blonigan

Patrick Blonigan is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics, Mathematical Physics, Numerical Analysis and Statistics, Probability and Uncertainty, having authored 44 papers that have together received 532 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (31 papers), Computational Fluid Dynamics and Aerodynamics (16 papers), Fluid Dynamics and Turbulent Flows (10 papers), Mathematical Dynamics and Fractals (6 papers), Chaos control and synchronization (5 papers), Probabilistic and Robust Engineering Design (3 papers), Numerical methods for differential equations (3 papers) and Advanced Numerical Methods in Computational Mathematics (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (273 citations), Numerical Analysis (59 citations), Computational Mechanics (223 citations), Mathematical Physics (100 citations) and Statistics, Probability and Uncertainty (36 citations). Patrick Blonigan has collaborated with scholars based in United States and France. Frequent co-authors include Qiqi Wang, Rui Sheng Hu, Mohammad Farazmand, Themistoklis P. Sapsis, Francesco Rizzi, Boris Diskin, Eric J. Nielsen, Kevin Carlberg, Eric Parish and Scott M. Murman. Their work appears in journals such as Journal of Computational Physics, AIAA Journal, Computer Methods in Applied Mechanics and Engineering, Numerical Linear Algebra with Applications and Chaos Solitons & Fractals.

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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