Vahid Salari

107 total papers · 1.2k total citations
50 papers, 761 citations indexed

About

Vahid Salari is a scholar working on Cellular and Molecular Neuroscience, Physiology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Vahid Salari has authored 50 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 20 papers in Physiology and 15 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Vahid Salari's work include Biofield Effects and Biophysics (20 papers), Photoreceptor and optogenetics research (19 papers) and Quantum Information and Cryptography (8 papers). Vahid Salari is often cited by papers focused on Biofield Effects and Biophysics (20 papers), Photoreceptor and optogenetics research (19 papers) and Quantum Information and Cryptography (8 papers). Vahid Salari collaborates with scholars based in Iran, Canada and Hungary. Vahid Salari's co-authors include István Bókkon, Jack A. Tuszyński, Mariam Zomorodi‐Moghadam, Moloud Abdar, Reza Khosrowabadi, U. Rajendra Acharya, Soorena Salari, Zeinab Sherkatghanad, Michal Cifra and Felix Scholkmann and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Vahid Salari

45 papers receiving 720 citations

Author Peers

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

Author						Papers	Cites
Vahid Salari	250	235	177	113	76	50	761
István Bókkon	187 0.7×	378 1.6×	243 1.4×	153 1.4×	92 1.2×	52	782
Zahid Padamsey	176 0.7×	71 0.3×	310 1.8×	168 1.5×	33 0.4×	20	630
Guoming Luan	235 0.9×	42 0.2×	207 1.2×	71 0.6×	76 1.0×	70	758
Jiajia Yang	203 0.8×	78 0.3×	223 1.3×	123 1.1×	11 0.1×	65	837
Yuri Dabaghian	281 1.1×	139 0.6×	228 1.3×	125 1.1×	21 0.3×	43	745
David G. Lange	57 0.2×	197 0.8×	181 1.0×	189 1.7×	126 1.7×	28	732
Grigory Bordyugov	161 0.6×	118 0.5×	223 1.3×	143 1.3×	16 0.2×	20	862
Fang Xu	132 0.5×	45 0.2×	108 0.6×	241 2.1×	195 2.6×	59	909
Stanley A. Koren	422 1.7×	289 1.2×	126 0.7×	58 0.5×	275 3.6×	61	863
Hideyuki Terazono	74 0.3×	234 1.0×	81 0.5×	160 1.4×	51 0.7×	48	859

Countries citing papers authored by Vahid Salari

Since Specialization

Citations

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

Fields of papers citing papers by Vahid Salari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vahid Salari

This figure shows the co-authorship network connecting the top 25 collaborators of Vahid Salari. A scholar is included among the top collaborators of Vahid Salari 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 Vahid Salari. Vahid Salari 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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