Mohammad Hosseini

53 total papers · 923 total citations
28 papers, 395 citations indexed

About

Mohammad Hosseini is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Surgery. According to data from OpenAlex, Mohammad Hosseini has authored 28 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Computer Networks and Communications and 5 papers in Surgery. Recurrent topics in Mohammad Hosseini's work include Image and Video Quality Assessment (8 papers), Healthcare Technology and Patient Monitoring (5 papers) and Video Coding and Compression Technologies (5 papers). Mohammad Hosseini is often cited by papers focused on Image and Video Quality Assessment (8 papers), Healthcare Technology and Patient Monitoring (5 papers) and Video Coding and Compression Technologies (5 papers). Mohammad Hosseini collaborates with scholars based in United States, Iran and China. Mohammad Hosseini's co-authors include Viswanathan Swaminathan, Stefano Petrangeli, Filip De Turck, Lui Sha, Shervin Shirmohammadi, Joseph G. Peters, Yu Jiang, Jiaguang Sun, Gregorij Kurillo and Richard B. Berlin and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Sustainable Cities and Society and IEEE Transactions on Multimedia.

In The Last Decade

Mohammad Hosseini

27 papers receiving 393 citations

Author Peers

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

Author Last Decade Papers Cites
Mohammad Hosseini 271 194 83 72 32 28 395
Bin Yu 300 1.1× 58 0.3× 58 0.7× 67 0.9× 22 0.7× 17 391
Mikołaj Leszczuk 310 1.1× 100 0.5× 39 0.5× 29 0.4× 39 1.2× 56 419
Mojca Volk 121 0.4× 37 0.2× 162 2.0× 53 0.7× 135 4.2× 29 442
Muhammad Shahid 345 1.3× 171 0.9× 21 0.3× 27 0.4× 20 0.6× 37 429
Rui-Xiao Zhang 306 1.1× 187 1.0× 161 1.9× 43 0.6× 48 1.5× 32 428
Francisco Morán 247 0.9× 48 0.2× 25 0.3× 18 0.3× 49 1.5× 54 348
Xianguo Zhang 348 1.3× 244 1.3× 18 0.2× 35 0.5× 21 0.7× 36 443
Shiqiang Yang 193 0.7× 80 0.4× 267 3.2× 52 0.7× 17 0.5× 27 387
Jie Yu 230 0.8× 43 0.2× 27 0.3× 23 0.3× 22 0.7× 26 400
B.L. Tseng 374 1.4× 126 0.6× 31 0.4× 69 1.0× 6 0.2× 32 434

Countries citing papers authored by Mohammad Hosseini

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Hosseini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Hosseini

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