Salima Rafaı̈

1.9k total citations
33 papers, 1.4k citations indexed

About

Salima Rafaı̈ is a scholar working on Condensed Matter Physics, Biomedical Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Salima Rafaı̈ has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Condensed Matter Physics, 19 papers in Biomedical Engineering and 11 papers in Statistical and Nonlinear Physics. Recurrent topics in Salima Rafaı̈'s work include Micro and Nano Robotics (18 papers), Advanced Thermodynamics and Statistical Mechanics (11 papers) and Microfluidic and Bio-sensing Technologies (11 papers). Salima Rafaı̈ is often cited by papers focused on Micro and Nano Robotics (18 papers), Advanced Thermodynamics and Statistical Mechanics (11 papers) and Microfluidic and Bio-sensing Technologies (11 papers). Salima Rafaı̈ collaborates with scholars based in France, Taiwan and Netherlands. Salima Rafaı̈'s co-authors include Daniel Bonn, Philippe Peyla, Levan Jibuti, G. H. Wegdam, Noushine Shahidzadeh-Bonn, Jacques Meunier, Chaouqi Misbah, Arezki Boudaoud, Christian Wagner and Vance Bergeron and has published in prestigious journals such as Physical Review Letters, Journal of Fluid Mechanics and Langmuir.

In The Last Decade

Salima Rafaı̈

32 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Salima Rafaı̈ France 18 532 482 429 270 238 33 1.4k
Xiang Cheng United States 27 379 0.7× 539 1.1× 803 1.9× 218 0.8× 883 3.7× 68 2.3k
Laurence Talini France 21 109 0.2× 414 0.9× 295 0.7× 185 0.7× 303 1.3× 62 1.4k
Kevin Stratford United Kingdom 26 393 0.7× 296 0.6× 423 1.0× 75 0.3× 832 3.5× 55 2.1k
J. J. L. Higdon United States 26 359 0.7× 709 1.5× 1.3k 2.9× 299 1.1× 238 1.0× 40 2.3k
Maria L. Ekiel-Jeżewska Poland 19 178 0.3× 405 0.8× 403 0.9× 90 0.3× 361 1.5× 81 1.2k
Adrian Daerr France 24 138 0.3× 316 0.7× 1.1k 2.6× 504 1.9× 205 0.9× 41 1.8k
Eric I. Corwin United States 18 381 0.7× 560 1.2× 691 1.6× 114 0.4× 1.3k 5.5× 50 2.5k
Jerzy Bławzdziewicz United States 33 350 0.7× 1.0k 2.1× 998 2.3× 280 1.0× 923 3.9× 107 2.8k
V. Prasad United States 17 256 0.5× 517 1.1× 286 0.7× 46 0.2× 1.1k 4.8× 39 2.1k
J. P. Wittmer France 32 611 1.1× 538 1.1× 525 1.2× 428 1.6× 1.9k 7.9× 76 3.2k

Countries citing papers authored by Salima Rafaı̈

Since Specialization
Citations

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

Fields of papers citing papers by Salima Rafaı̈

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salima Rafaı̈

This figure shows the co-authorship network connecting the top 25 collaborators of Salima Rafaı̈. A scholar is included among the top collaborators of Salima Rafaı̈ based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Salima Rafaı̈. Salima Rafaı̈ is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Farutin, Alexander, et al.. (2022). A reduced model for a phoretic swimmer. Journal of Fluid Mechanics. 952. 4 indexed citations
2.
Farutin, Alexander, Sham Tlili, Xuan Luo, et al.. (2020). Amoeboid Swimming Is Propelled by Molecular Paddling in Lymphocytes. Biophysical Journal. 119(6). 1157–1177. 26 indexed citations
3.
Rafaı̈, Salima, et al.. (2019). Chaotic Swimming of Phoretic Particles. Physical Review Letters. 123(23). 238004–238004. 30 indexed citations
4.
Rafaı̈, Salima, et al.. (2019). Statistics of Colloidal Suspensions Stirred by Microswimmers. Physical Review Letters. 122(14). 148101–148101. 23 indexed citations
5.
Farutin, Alexander, et al.. (2019). Rheological signature of microswimmer phase-locking under flow. Physical Review Fluids. 4(10). 1 indexed citations
6.
Bertin, Éric, et al.. (2016). Photofocusing: Light and flow of phototactic microswimmer suspension. Physical review. E. 93(5). 51101–51101. 14 indexed citations
7.
Wu, Hao, Maryse Thiébaud, Wei-Fan Hu, et al.. (2015). Amoeboid motion in confined geometry. Physical Review E. 92(5). 50701–50701. 42 indexed citations
8.
Jibuti, Levan, Walter Zimmermann, Salima Rafaı̈, & Philippe Peyla. (2014). Effective viscosity of a suspension of flagellar beating microswimmers:\n Three-dimensional modeling. arXiv (Cornell University). 5 indexed citations
9.
Jibuti, Levan, et al.. (2014). Self-focusing and jet instability of a microswimmer suspension. Physical Review E. 90(6). 63019–63019. 17 indexed citations
10.
Farutin, Alexander, Salima Rafaı̈, Dag Kristian Dysthe, et al.. (2013). Amoeboid Swimming: A Generic Self-Propulsion of Cells in Fluids by Means of Membrane Deformations. Physical Review Letters. 111(22). 228102–228102. 54 indexed citations
11.
Rafaı̈, Salima, et al.. (2013). Light Control of the Flow of Phototactic Microswimmer Suspensions. Physical Review Letters. 110(13). 138106–138106. 67 indexed citations
12.
Berti, Stefano, et al.. (2011). Random walk of a swimmer in a low-Reynolds-number medium. Physical Review E. 83(3). 35301–35301. 37 indexed citations
13.
Zell, Andreas, et al.. (2010). Is there a relation between the relaxation time measured in CaBER experiments and the first normal stress coefficient?. Journal of Non-Newtonian Fluid Mechanics. 165(19-20). 1265–1274. 55 indexed citations
14.
Bonn, Daniel, Stéphane Rodts, Maarten Groenink, et al.. (2008). Some Applications of Magnetic Resonance Imaging in Fluid Mechanics: Complex Flows and Complex Fluids. Annual Review of Fluid Mechanics. 40(1). 209–233. 80 indexed citations
15.
Shahidzadeh-Bonn, Noushine, Salima Rafaı̈, Daniel Bonn, & G. H. Wegdam. (2008). Salt Crystallization during Evaporation: Impact of Interfacial Properties. Langmuir. 24(16). 8599–8605. 216 indexed citations
16.
Weiß, Volker, Emanuel Bertrand, Salima Rafaı̈, Joseph O. Indekeu, & Daniel Bonn. (2007). Effective exponents in the long-range critical wetting of alkanes on aqueous substrates. Physical Review E. 76(5). 51602–51602. 5 indexed citations
17.
Rafaı̈, Salima & Daniel Bonn. (2005). Spreading of non-Newtonian fluids and surfactant solutions on solid surfaces. Physica A Statistical Mechanics and its Applications. 358(1). 58–67. 57 indexed citations
18.
Rafaı̈, Salima, Daniel Bonn, Emanuel Bertrand, et al.. (2004). Long-Range Critical Wetting: Observation of a Critical End Point. Physical Review Letters. 92(24). 245701–245701. 39 indexed citations
19.
Rafaı̈, Salima, Daniel Bonn, & Arezki Boudaoud. (2004). Spreading of non-Newtonian fluids on hydrophilic surfaces. Journal of Fluid Mechanics. 513. 77–85. 74 indexed citations
20.
Fenistein, Denis, Daniel Bonn, Salima Rafaı̈, et al.. (2002). What Controls the Thickness of Wetting Layers near Bulk Criticality?. Physical Review Letters. 89(9). 96101–96101. 15 indexed citations

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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