David Vidal

1.0k citations
50 papers · 854 · h-index 18

Impact in

    • Lattice Boltzmann Simulation Studies
    • Granular flow and fluidized beds
    • Heat and Mass Transfer in Porous Media
    • Fluid Dynamics and Heat Transfer
    • Particle Dynamics in Fluid Flows

Papers in

David Vidal

45 papers receiving 825 citations

Peers

David Vidal
Comparison fields: 5 of 83
  • Computational Mechanics 466
  • Ocean Engineering 114
  • Fluid Flow and Transfer Processes 38
  • Biomaterials 77
  • Water Science and Technology 70
Replace Ammar Abdulaziz Alsairafi with:
Ammar Abdulaziz Alsairafi Kuwait
Chang Cai China
Ari Jäsberg Finland
Yan Jin Germany
Leila Pakzad Canada
Xinlei Wang China
Mohammad Alhuyi Nazari Iran
J. Enrique Juliá Spain
Michele Marigo United Kingdom
Faik Hamad United Kingdom
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Citations per field
00.5×4.3×
Ammar Abdulaziz Alsairafi · 1×
Citations per year

Countries citing papers authored by David Vidal

Since Specialization
Citations

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

Fields of papers citing papers by David Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019105
2 201963
3 202060
4 199957
5 200852
6 201045
7 201238
8 202034
9 202026
10 200924
11 202024
12 200323
13 199823
14 202023
15 200419
16 201919
17 201017
18 201017
19 201516
20 200416

About David Vidal

David Vidal is a scholar working on Computational Mechanics, Electrical and Electronic Engineering, Mechanics of Materials, Biomedical Engineering and Ocean Engineering, having authored 50 papers that have together received 854 indexed citations. Recurring topics across this work include Lattice Boltzmann Simulation Studies (23 papers), Aerosol Filtration and Electrostatic Precipitation (20 papers), Material Properties and Processing (8 papers), Heat and Mass Transfer in Porous Media (8 papers), Granular flow and fluidized beds (7 papers), Particle Dynamics in Fluid Flows (4 papers), Fluid Dynamics and Vibration Analysis (4 papers) and Fluid Dynamics and Mixing (3 papers). The work is most often cited by research in Computational Mechanics (466 citations), Ocean Engineering (114 citations), Fluid Flow and Transfer Processes (38 citations), Biomaterials (77 citations) and Water Science and Technology (70 citations). David Vidal has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include François Bertrand, Jamal Chaouki, Shuli Shu, Robert E. Hayes, Robert J. Le Roy, Bruno Blais, Alfons G. Hoekstra, Huub C. J. Hoefsloot, Drona Kandhai and P.M.A. Sloot. Their work appears in journals such as Chemical Engineering Science, International Journal for Numerical Methods in Fluids, Nordic Pulp & Paper Research Journal, The Canadian Journal of Chemical Engineering and Chemical Engineering Journal.

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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