Safa Jamali

52 papers receiving 1.4k citations

Peers

Safa Jamali
Comparison fields: 5 of 102
  • Fluid Flow and Transfer Processes 514
  • Computational Mechanics 369
  • Statistical and Nonlinear Physics 214
  • Materials Chemistry 622
  • Statistics, Probability and Uncertainty 89
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Xijun Fan China
B Brûlé Netherlands
Pierre Saramito France
Jader R. Barbosa Brazil
Martien A. Hulsen Netherlands
Marco Ellero Spain
Yasuya Nakayama Japan
A. I. Leonov United States
Márcio S. Carvalho Brazil
Günter Brenn Austria
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Citations per field
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Citations per year

Countries citing papers authored by Safa Jamali

Since Specialization
Citations

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

Fields of papers citing papers by Safa Jamali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017107
2 201990
3 202186
4 202175
5 201570
6 201568
7 201766
8 201365
9 202158
10 201653
11 201853
12 202149
13 202145
14 202141
15 201938
16 201538
17 201537
18 201236
19 202233
20 202032

About Safa Jamali

Safa Jamali is a scholar working on Fluid Flow and Transfer Processes, Materials Chemistry, Statistical and Nonlinear Physics, Computational Mechanics and Biomedical Engineering, having authored 53 papers that have together received 1.5k indexed citations. Recurring topics across this work include Rheology and Fluid Dynamics Studies (31 papers), Material Dynamics and Properties (20 papers), Model Reduction and Neural Networks (13 papers), Pickering emulsions and particle stabilization (10 papers), Blood properties and coagulation (8 papers), Probabilistic and Robust Engineering Design (5 papers), Granular flow and fluidized beds (4 papers) and Surfactants and Colloidal Systems (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (514 citations), Computational Mechanics (369 citations), Statistical and Nonlinear Physics (214 citations), Materials Chemistry (622 citations) and Statistics, Probability and Uncertainty (89 citations). Safa Jamali has collaborated with scholars based in United States, South Korea and Portugal. Frequent co-authors include João M. Maia, Mohammadamin Mahmoudabadbozchelou, Arman Boromand, John F. Brady, George Em Karniadakis, Gareth H. McKinley, Robert C. Armstrong, Lilian C. Hsiao, María C. Paiva and J. A. Covas. Their work appears in journals such as Soft Matter, Journal of Rheology, Physical Review Letters, The Journal of Chemical Physics and Rheologica Acta.

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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