David Vidal

1.0k citations
48 papers · 803 indexed · h-index 17

David Vidal

44 papers receiving 773 citations

Peers

David Vidal
Comparison fields: 5 of 80
  • Computational Mechanics 454
  • Ocean Engineering 112
  • Fluid Flow and Transfer Processes 35
  • Biomaterials 73
  • Water Science and Technology 69
Replace Ammar Abdulaziz Alsairafi with:
Ammar Abdulaziz Alsairafi Kuwait
André Bénard United States
Chang Cai China
Leila Pakzad Canada
Xinlei Wang China
Faik Hamad United Kingdom
Cheol-Hong Hwang South Korea
J. Enrique Juliá Spain
Chad P. J. Bennington Canada
Michele Marigo United Kingdom
David Vidal relative to Ammar Abdulaziz Alsairafi Kuwait Ammar Abdulaziz Alsairafi's profile →
Citations per field
00.5×3.8×
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-authorship network

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
#Work
1 20240
2 20248
3 20241
4 20234
5 20225
6 20218
7 20211
8 202057
9 20209
10 202025
11 201913
12 201911
13 201960
14 201234
15
Multi-scale modeling environment for nanocellulose applications
20101
16 20102
17 201041
18 201016
19 200713
20 199819

About David Vidal

David Vidal is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Electrical and Electronic Engineering, Mechanics of Materials and Ocean Engineering, having authored 48 papers that have together received 803 indexed citations. Recurring topics across this work include Lattice Boltzmann Simulation Studies (23 papers), Aerosol Filtration and Electrostatic Precipitation (20 papers), Heat and Mass Transfer in Porous Media (8 papers), Material Properties and Processing (8 papers), Granular flow and fluidized beds (7 papers), Particle Dynamics in Fluid Flows (4 papers), Fluid Dynamics and Vibration Analysis (4 papers) and Rheology and Fluid Dynamics Studies (3 papers). The work is most often cited by research in Computational Mechanics (454 citations), Ocean Engineering (112 citations), Fluid Flow and Transfer Processes (35 citations), Biomaterials (73 citations) and Water Science and Technology (69 citations). David Vidal has collaborated with scholars based in Canada, Germany and Netherlands. Frequent co-authors include François Bertrand, Jamal Chaouki, Shuli Shu, Robert E. Hayes, Robert J. Le Roy, Bruno Blais, P.M.A. Sloot, Martin Votsmeier, Alfons G. Hoekstra and Piet D. Iedema. Their work appears in journals such as Chemical Engineering Science, The Canadian Journal of Chemical Engineering, Chemical Engineering Journal, Nordic Pulp & Paper Research Journal and International Journal for Numerical Methods in Fluids.

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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