S. Jamaleddin Mousavi

420 total citations
16 papers, 294 citations indexed

About

S. Jamaleddin Mousavi is a scholar working on Biomedical Engineering, Pulmonary and Respiratory Medicine and Cell Biology. According to data from OpenAlex, S. Jamaleddin Mousavi has authored 16 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 8 papers in Pulmonary and Respiratory Medicine and 4 papers in Cell Biology. Recurrent topics in S. Jamaleddin Mousavi's work include Elasticity and Material Modeling (13 papers), Aortic aneurysm repair treatments (7 papers) and Aortic Disease and Treatment Approaches (5 papers). S. Jamaleddin Mousavi is often cited by papers focused on Elasticity and Material Modeling (13 papers), Aortic aneurysm repair treatments (7 papers) and Aortic Disease and Treatment Approaches (5 papers). S. Jamaleddin Mousavi collaborates with scholars based in France, Spain and Austria. S. Jamaleddin Mousavi's co-authors include Stéphane Avril, Heleen Fehervary, Nele Famaey, Mohamed H. Doweidar, Pierre Croisille, Magalie Viallon, Salvatore Campisi, Klaus Hackl, Filip Rega and Haitian Yang and has published in prestigious journals such as Journal of The Royal Society Interface, Computer Methods and Programs in Biomedicine and Computers in Biology and Medicine.

In The Last Decade

S. Jamaleddin Mousavi

15 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Jamaleddin Mousavi France 10 210 127 87 71 45 16 294
Selda Sherifova Austria 8 283 1.3× 204 1.6× 101 1.2× 101 1.4× 51 1.1× 9 427
Juan Antonio Peña Baquedano Spain 8 269 1.3× 91 0.7× 115 1.3× 47 0.7× 36 0.8× 11 317
Heleen Fehervary Belgium 11 212 1.0× 130 1.0× 110 1.3× 84 1.2× 22 0.5× 26 342
Caroline Forsell Sweden 9 200 1.0× 168 1.3× 106 1.2× 96 1.4× 31 0.7× 12 339
Eoghan Maher Ireland 8 183 0.9× 125 1.0× 179 2.1× 61 0.9× 21 0.5× 8 321
Georg Zeindlinger Sweden 2 259 1.2× 136 1.1× 133 1.5× 45 0.6× 46 1.0× 2 337
David S. Li United States 12 224 1.1× 76 0.6× 110 1.3× 216 3.0× 18 0.4× 20 398
Igor Karšaj Croatia 12 220 1.0× 185 1.5× 89 1.0× 78 1.1× 41 0.9× 20 406
Colleen M. Witzenburg United States 9 204 1.0× 75 0.6× 104 1.2× 124 1.7× 40 0.9× 23 338
Pierre Fridez Switzerland 7 324 1.5× 129 1.0× 205 2.4× 169 2.4× 54 1.2× 9 476

Countries citing papers authored by S. Jamaleddin Mousavi

Since Specialization
Citations

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

Fields of papers citing papers by S. Jamaleddin Mousavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Jamaleddin Mousavi. 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 S. Jamaleddin Mousavi. The network helps show where S. Jamaleddin Mousavi may publish in the future.

Co-authorship network of co-authors of S. Jamaleddin Mousavi

This figure shows the co-authorship network connecting the top 25 collaborators of S. Jamaleddin Mousavi. A scholar is included among the top collaborators of S. Jamaleddin Mousavi 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 S. Jamaleddin Mousavi. S. Jamaleddin Mousavi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Mousavi, S. Jamaleddin, et al.. (2022). Computational modeling of multiple myeloma interactions with resident bone marrow cells. Computers in Biology and Medicine. 153. 106458–106458. 4 indexed citations
2.
Mousavi, S. Jamaleddin, et al.. (2022). About prestretch in homogenized constrained mixture models simulating growth and remodeling in patient-specific aortic geometries. Biomechanics and Modeling in Mechanobiology. 21(2). 455–469. 14 indexed citations
3.
Mousavi, S. Jamaleddin, et al.. (2021). Coupling hemodynamics with mechanobiology in patient-specific computational models of ascending thoracic aortic aneurysms. Computer Methods and Programs in Biomedicine. 205. 106107–106107. 36 indexed citations
4.
Mousavi, S. Jamaleddin, et al.. (2021). 3D finite‐element modeling of vascular adaptation after endovascular aneurysm repair. International Journal for Numerical Methods in Biomedical Engineering. 38(2). e3547–e3547. 1 indexed citations
5.
Mousavi, S. Jamaleddin, et al.. (2020). ROLE OF OXYGEN CONCENTRATION IN THE OSTEOBLASTS BEHAVIOR: A FINITE ELEMENT MODEL. Journal of Mechanics in Medicine and Biology. 20(1). 1950064–1950064. 6 indexed citations
6.
Mousavi, S. Jamaleddin, et al.. (2020). Computational modeling of the role of smooth muscle cells contractility on the progression of aortic aneurysms. Computer Methods in Biomechanics & Biomedical Engineering. 23(sup1). S123–S124.
7.
Mousavi, S. Jamaleddin, et al.. (2020). Computational Study of Growth and Remodeling in Ascending Thoracic Aortic Aneurysms Considering Variations of Smooth Muscle Cell Basal Tone. Frontiers in Bioengineering and Biotechnology. 8. 587376–587376. 13 indexed citations
8.
Yang, Haitian, et al.. (2020). Three-dimensional numerical simulation of soft-tissue wound healing using constrained-mixture anisotropic hyperelasticity and gradient-enhanced damage mechanics. Journal of The Royal Society Interface. 17(162). 20190708–20190708. 18 indexed citations
9.
Avril, Stéphane, et al.. (2020). Sensitivity analysis of non‐local damage in soft biological tissues. International Journal for Numerical Methods in Biomedical Engineering. 37(3). e3427–e3427. 5 indexed citations
10.
Mousavi, S. Jamaleddin, et al.. (2019). Patient-specific predictions of aneurysm growth and remodeling in the ascending thoracic aorta using the homogenized constrained mixture model. Biomechanics and Modeling in Mechanobiology. 18(6). 1895–1913. 54 indexed citations
11.
Fehervary, Heleen, et al.. (2019). Constrained mixture modeling affects material parameter identification from planar biaxial tests. Journal of the mechanical behavior of biomedical materials. 95. 124–135. 22 indexed citations
12.
Mousavi, S. Jamaleddin, et al.. (2019). A new finite‐element shell model for arterial growth and remodeling after stent implantation. International Journal for Numerical Methods in Biomedical Engineering. 36(1). e3282–e3282. 19 indexed citations
13.
Famaey, Nele, et al.. (2018). Numerical simulation of arterial remodeling in pulmonary autografts. ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 98(12). 2239–2257. 34 indexed citations
14.
Mousavi, S. Jamaleddin & Mohamed H. Doweidar. (2018). Encapsulated piezoelectric nanoparticle–hydrogel smart material to remotely regulate cell differentiation and proliferation: a finite element model. Computational Mechanics. 63(3). 471–489. 9 indexed citations
15.
Mousavi, S. Jamaleddin & Stéphane Avril. (2017). Patient-specific stress analyses in the ascending thoracic aorta using a finite-element implementation of the constrained mixture theory. Biomechanics and Modeling in Mechanobiology. 16(5). 1765–1777. 36 indexed citations
16.
Mousavi, S. Jamaleddin, et al.. (2017). Computational predictions of damage propagation preceding dissection of ascending thoracic aortic aneurysms. International Journal for Numerical Methods in Biomedical Engineering. 34(4). e2944–e2944. 23 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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