Bartosz Protas

1.6k citations
76 papers · 1.1k · h-index 18

Impact in

Papers in

    • Fluid Dynamics and Turbulent Flows 44
    • Fluid Dynamics and Vibration Analysis 18
    • Computational Fluid Dynamics and Aerodynamics 12
    • Navier-Stokes equation solutions 15

Bartosz Protas

71 papers receiving 1.1k citations

Peers

Bartosz Protas
Comparison fields: 5 of 73
  • Computational Mechanics 606
  • Automotive Engineering 230
  • Statistical and Nonlinear Physics 169
  • Applied Mathematics 81
  • Mathematical Physics 63
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Lu Ting United States
Gunilla Kreiss Sweden
Richard Pasquetti France
Vasilios Alexiades United States
G. A. Domoto United States
G. M. Makhviladze United Kingdom
Michel Speetjens Netherlands
V. B. Librovich Russia
PN Shankar India
H. Ockendon United Kingdom
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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 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200281
2 201578
3 201569
4 200266
5 201761
6 200460
7 200359
8 200448
9 201745
10 200838
11 199929
12 199829
13 201424
14 200823
15 201022
16 201920
17 201120
18 200918
19 200018
20 201316

About Bartosz Protas

Bartosz Protas is a scholar working on Computational Mechanics, Applied Mathematics, Mathematical Physics, Statistical and Nonlinear Physics and Automotive Engineering, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (44 papers), Fluid Dynamics and Vibration Analysis (18 papers), Navier-Stokes equation solutions (15 papers), Computational Fluid Dynamics and Aerodynamics (12 papers), Advanced Battery Technologies Research (8 papers), Advancements in Battery Materials (8 papers), Model Reduction and Neural Networks (7 papers) and Advanced Mathematical Modeling in Engineering (7 papers). The work is most often cited by research in Computational Mechanics (606 citations), Automotive Engineering (230 citations), Statistical and Nonlinear Physics (169 citations), Applied Mathematics (81 citations) and Mathematical Physics (63 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, Sergey A. Krachkovskiy, Jamie Michael Foster, Ionut Danaila, Meng Jiang, Nicholas Kevlahan, Ion C. Halalay and Giles W. Richardson. Their work appears in journals such as Physica D Nonlinear Phenomena, Journal of Computational Physics, Journal of Fluid Mechanics, Physics of Fluids and Journal of Nonlinear Science.

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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