Philip Yecko

760 citations
28 papers · 504 · h-index 12

Impact in

Papers in

    • Fluid Dynamics and Heat Transfer 9
    • Fluid Dynamics and Turbulent Flows 8
    • Fluid Dynamics and Thin Films 6
    • Lattice Boltzmann Simulation Studies 5
    • Characterization and Applications of Magnetic Nanoparticles 11

Philip Yecko

26 papers receiving 497 citations

Peers

Philip Yecko
Comparison fields: 5 of 53
  • Computational Mechanics 367
  • Astronomy and Astrophysics 75
  • Computer Graphics and Computer-Aided Design 15
  • Fluid Flow and Transfer Processes 25
  • Biomedical Engineering 173
Replace John Hochstein with:
John Hochstein United States
M. A. Gol'dshtik Russia
Harunori Yoshikawa France
S. Wang United States
Shreyas V. Jalikop Austria
Dmitry V. Lyubimov Russia
C. Sozou United Kingdom
F. Pacheco-Vázquez Mexico
N. D. Kopachevskiĭ Ukraine
W. Eidel Germany
Philip Yecko relative to John Hochstein United States John Hochstein's profile →
Citations per field
00.5×
John Hochstein · 1×
Citations per year

Countries citing papers authored by Philip Yecko

Since Specialization
Citations

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

Fields of papers citing papers by Philip Yecko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200266
2 200855
3 200654
4 200541
5 202141
6 200439
7 201037
8 201530
9 201424
10 199820
11 200718
12 200915
13 201010
14 201610
15 200810
16 20048
17 20135
18 20005
19 20104
20 20143

About Philip Yecko

Philip Yecko is a scholar working on Computational Mechanics, Biomedical Engineering, Molecular Biology, Astronomy and Astrophysics and Electrical and Electronic Engineering, having authored 28 papers that have together received 504 indexed citations. Recurring topics across this work include Characterization and Applications of Magnetic Nanoparticles (11 papers), Fluid Dynamics and Heat Transfer (9 papers), Fluid Dynamics and Turbulent Flows (8 papers), Fluid Dynamics and Thin Films (6 papers), Lattice Boltzmann Simulation Studies (5 papers), Electrohydrodynamics and Fluid Dynamics (4 papers), Solar and Space Plasma Dynamics (3 papers) and Geomagnetism and Paleomagnetism Studies (3 papers). The work is most often cited by research in Computational Mechanics (367 citations), Astronomy and Astrophysics (75 citations), Computer Graphics and Computer-Aided Design (15 citations), Fluid Flow and Transfer Processes (25 citations) and Biomedical Engineering (173 citations). Philip Yecko has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Stéphane Zaleski, Ruben Scardovelli, José‐Maria Fullana, A. D. Trubatch, John G. Stevens, Thomas Boeck, Arup Mukherjee, Sandro Manservisi, Jie Li and J. R. Buchler. Their work appears in journals such as Physics of Fluids, Journal of Magnetism and Magnetic Materials, Computer Physics Communications, Computers & Fluids and International Journal of Multiphase 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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