Bartosz Protas

1.5k citations
75 papers · 1.1k · h-index 18

Impact in

Papers in

    • Fluid Dynamics and Turbulent Flows 43
    • Fluid Dynamics and Vibration Analysis 15
    • Computational Fluid Dynamics and Aerodynamics 11
    • Navier-Stokes equation solutions 16

Bartosz Protas

70 papers receiving 1.0k citations

Peers

Bartosz Protas
Comparison fields: 5 of 72
  • Computational Mechanics 561
  • Automotive Engineering 231
  • Statistical and Nonlinear Physics 157
  • Applied Mathematics 77
  • Mathematical Physics 62
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Lu Ting United States
Gunilla Kreiss Sweden
Richard Pasquetti France
G. A. Domoto United States
Vasilios Alexiades United States
G. M. Makhviladze United Kingdom
Xin Wen China
É. Serre France
Xudong Liu China
Mohammed Sallah Egypt
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Citations per field
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Citations per year

Countries citing papers authored by Bartosz Protas

Since Specialization
Citations

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

Fields of papers citing papers by Bartosz Protas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200275
2 201571
3 201567
4 201761
5 200258
6 200358
7 200458
8 200443
9 201742
10 200828
11 201425
12 199925
13 199824
14 200822
15 201021
16 201121
17 201919
18 200018
19 200917
20 201317

About Bartosz Protas

Bartosz Protas is a scholar working on Computational Mechanics, Applied Mathematics, Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Mathematical Physics, having authored 75 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (43 papers), Navier-Stokes equation solutions (16 papers), Fluid Dynamics and Vibration Analysis (15 papers), Computational Fluid Dynamics and Aerodynamics (11 papers), Advanced Battery Technologies Research (8 papers), Advancements in Battery Materials (8 papers), Model Reduction and Neural Networks (8 papers) and Advanced Mathematical Modeling in Engineering (7 papers). The work is most often cited by research in Computational Mechanics (561 citations), Automotive Engineering (231 citations), Statistical and Nonlinear Physics (157 citations), Applied Mathematics (77 citations) and Mathematical Physics (62 citations). Bartosz Protas has collaborated with scholars based in Canada, United States and France. Frequent co-authors include José Eduardo Wesfreid, Thomas Bewley, Gillian R. Goward, Jamie M. Foster, Sergey Krachkovskiy, Ionut Danaila, Meng Jiang, Nicholas Kevlahan, Giles Richardson and Oleg Volkov. Their work appears in journals such as Physica D Nonlinear Phenomena, Journal of Computational Physics, Physics of Fluids, Journal of Fluid Mechanics 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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