Sahar Rahmani

29 total papers · 556 total citations
22 papers, 457 citations indexed

About

Sahar Rahmani is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Sahar Rahmani has authored 22 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 8 papers in Electrical and Electronic Engineering and 7 papers in Biomedical Engineering. Recurrent topics in Sahar Rahmani's work include Electrohydrodynamics and Fluid Dynamics (7 papers), Pickering emulsions and particle stabilization (7 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). Sahar Rahmani is often cited by papers focused on Electrohydrodynamics and Fluid Dynamics (7 papers), Pickering emulsions and particle stabilization (7 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). Sahar Rahmani collaborates with scholars based in United States, Germany and Iran. Sahar Rahmani's co-authors include Joerg Lahann, Asish C. Misra, Jaewon Yoon, Acacia F. Dishman, Hakan Durmaz, Kyung Jin Lee, Samir Mitragotri, Sangyeul Hwang, Srijanani Bhaskar and Sampa Saha and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and ACS Applied Materials & Interfaces.

In The Last Decade

Sahar Rahmani

22 papers receiving 454 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sahar Rahmani	186	178	145	110	78	22	457
Nicholas Clay	180 1.0×	121 0.7×	156 1.1×	66 0.6×	54 0.7×	22	496
Dennis Go	216 1.2×	209 1.2×	142 1.0×	70 0.6×	57 0.7×	16	527
Gilad Kaufman	219 1.2×	203 1.1×	63 0.4×	90 0.8×	88 1.1×	12	490
Daisuke Matsukuma	160 0.9×	196 1.1×	142 1.0×	58 0.5×	210 2.7×	25	523
Xuefei Wu	101 0.5×	228 1.3×	78 0.5×	152 1.4×	47 0.6×	31	490
Maximilian Seuß	230 1.2×	140 0.8×	129 0.9×	48 0.4×	68 0.9×	14	448
Clinton G. Wiener	240 1.3×	104 0.6×	96 0.7×	87 0.8×	104 1.3×	19	538
Ziyang Sun	126 0.7×	149 0.8×	181 1.2×	42 0.4×	57 0.7×	18	516
Matthias M. L. Arras	190 1.0×	152 0.9×	206 1.4×	70 0.6×	69 0.9×	29	454
Shusuke Matsui	115 0.6×	130 0.7×	57 0.4×	57 0.5×	78 1.0×	17	415

Countries citing papers authored by Sahar Rahmani

Since Specialization

Citations

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

Fields of papers citing papers by Sahar Rahmani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sahar Rahmani

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

All Works

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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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