Mohammad Sattari

56 total papers · 833 total citations
37 papers, 633 citations indexed

About

Mohammad Sattari is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Mohammad Sattari has authored 37 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 8 papers in Biomedical Engineering and 7 papers in Computer Networks and Communications. Recurrent topics in Mohammad Sattari's work include Flow Measurement and Analysis (7 papers), Artificial Intelligence in Healthcare (5 papers) and Electromagnetic Compatibility and Noise Suppression (4 papers). Mohammad Sattari is often cited by papers focused on Flow Measurement and Analysis (7 papers), Artificial Intelligence in Healthcare (5 papers) and Electromagnetic Compatibility and Noise Suppression (4 papers). Mohammad Sattari collaborates with scholars based in Iran, Belgium and Germany. Mohammad Sattari's co-authors include Ehsan Nazemi, Gholam Hossein Roshani, Robert Hanus, Osman Taylan, Kamran Zamanifar, Peshawa Jamal Muhammad Ali, Enrico Corniani, Mohammed Balubaid, Abdulrahman Basahel and Farzin Shama and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Measurement.

In The Last Decade

Mohammad Sattari

32 papers receiving 622 citations

Author Peers

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

Author						Papers	Cites
Mohammad Sattari	172	155	116	112	106	37	633
Enrico Corniani	148 0.9×	150 1.0×	116 1.0×	87 0.8×	135 1.3×	16	613
Ehsan Eftekhari-Zadeh	244 1.4×	211 1.4×	143 1.2×	125 1.1×	127 1.2×	49	611
Volodymyr Mosorov	216 1.3×	241 1.6×	148 1.3×	110 1.0×	221 2.1×	58	642
Cheng Peng	77 0.4×	51 0.3×	156 1.3×	113 1.0×	30 0.3×	71	585
F. Salzenstein	92 0.5×	62 0.4×	63 0.5×	82 0.7×	44 0.4×	29	592
Jie Yu	103 0.6×	37 0.2×	111 1.0×	90 0.8×	80 0.8×	46	589
Richard Vilim	81 0.5×	25 0.2×	107 0.9×	139 1.2×	224 2.1×	59	623
Yinan Wang	50 0.3×	60 0.4×	40 0.3×	259 2.3×	45 0.4×	63	640
Xiongjun Wu	63 0.4×	100 0.6×	147 1.3×	203 1.8×	95 0.9×	75	669
Zhenwei Huang	67 0.4×	262 1.7×	163 1.4×	83 0.7×	70 0.7×	55	770

Countries citing papers authored by Mohammad Sattari

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Sattari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Sattari

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