Philippe Traoré

1.4k citations
63 papers · 1.1k indexed · h-index 20

Philippe Traoré

61 papers receiving 1.1k citations

Peers

Philippe Traoré
Comparison fields: 5 of 59
  • Computational Mechanics 553
  • Electrical and Electronic Engineering 766
  • Biomedical Engineering 328
  • Hematology 83
  • Genetics 55
Replace Matthieu Robert de Saint Vincent with:
Matthieu Robert de Saint Vincent France
Sang Youl Yoon South Korea
Yuehong Qian China
Kyoungwoo Park South Korea
Seyed Moein Rassoulinejad-Mousavi United States
Haruyuki Kinoshita Japan
Max Chabert France
Ming Zhou China
Sebastian Schmieschek Netherlands
Amin Rahmat United Kingdom
Philippe Traoré relative to Matthieu Robert de Saint Vincent France Matthieu Robert de Saint Vincent's profile →
Citations per field
00.5×10×16.6×
Matthieu Robert de Saint Vincent · 1×
Citations per year

Countries citing papers authored by Philippe Traoré

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Traoré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20241
4 20231
5 20231
6 20186
7 201532
8 201433
9 201426
10 201437
11 201416
12 201339
13 201348
14 201314
15 20134
16 20122
17 20094
18 20092
19 20095
20 20061

About Philippe Traoré

Philippe Traoré is a scholar working on Computational Mechanics, Electrical and Electronic Engineering, Biomedical Engineering, Industrial and Manufacturing Engineering and Materials Chemistry, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Power Transformer Diagnostics and Insulation (45 papers), Electrohydrodynamics and Fluid Dynamics (33 papers), Aerosol Filtration and Electrostatic Precipitation (19 papers), Nanofluid Flow and Heat Transfer (17 papers), High voltage insulation and dielectric phenomena (9 papers), Lattice Boltzmann Simulation Studies (7 papers), Fluid Dynamics and Thin Films (7 papers) and Fluid Dynamics and Turbulent Flows (5 papers). The work is most often cited by research in Computational Mechanics (553 citations), Electrical and Electronic Engineering (766 citations), Biomedical Engineering (328 citations), Hematology (83 citations) and Genetics (55 citations). Philippe Traoré has collaborated with scholars based in France, Spain and Bulgaria. Frequent co-authors include Jian Wu, Pedro A. M. Vazquez, Alberto T. Pérez, Christophe Louste, Lucian Dăscălescu, H. Romat, Mengqi Zhang, Mohamed Naceur Borjini, Walid Hassen and J. Seyed-Yagoobi. Their work appears in journals such as Journal of Electrostatics, IEEE Transactions on Industry Applications, IEEE Transactions on Dielectrics and Electrical Insulation, Physics of Fluids and International Journal of Heat and Fluid Flow.

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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