Saeed Mozaffari

111 total papers · 1.5k total citations
81 papers, 1.1k citations indexed

About

Saeed Mozaffari is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Saeed Mozaffari has authored 81 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 12 papers in Media Technology. Recurrent topics in Saeed Mozaffari's work include Handwritten Text Recognition Techniques (21 papers), Image Retrieval and Classification Techniques (21 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Saeed Mozaffari is often cited by papers focused on Handwritten Text Recognition Techniques (21 papers), Image Retrieval and Classification Techniques (21 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Saeed Mozaffari collaborates with scholars based in Iran, Canada and Germany. Saeed Mozaffari's co-authors include Karim Faez, Khashayar Yaghmaie, Majid Ziaratban, Parviz Keshavarzi, Hamidreza Rashidy Kanan, Hadi Soltanizadeh, Shahpour Alirezaee, H. Moeini, Farhad Faradji and Volker Märgner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Journal of the Optical Society of America A.

In The Last Decade

Saeed Mozaffari

78 papers receiving 981 citations

Author Peers

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

Author Last Decade Papers Cites
Saeed Mozaffari 863 267 208 102 75 81 1.1k
Ghazali Sulong 964 1.1× 210 0.8× 320 1.5× 93 0.9× 78 1.0× 116 1.2k
Mohiy M. Hadhoud 722 0.8× 116 0.4× 238 1.1× 158 1.5× 35 0.5× 91 1.0k
Susanta Mukhopadhyay 615 0.7× 99 0.4× 267 1.3× 81 0.8× 13 0.2× 88 1.0k
Qiang Chen 704 0.8× 102 0.4× 202 1.0× 26 0.3× 22 0.3× 52 975
Baozong Yuan 867 1.0× 237 0.9× 149 0.7× 162 1.6× 7 0.1× 120 1.2k
Mohammed Yakoob Siyal 656 0.8× 127 0.5× 79 0.4× 87 0.9× 43 0.6× 76 969
Lin Yuan 688 0.8× 177 0.7× 53 0.3× 105 1.0× 17 0.2× 80 1.1k
Avinash G. Keskar 475 0.6× 317 1.2× 93 0.4× 84 0.8× 17 0.2× 109 1.1k
Xing Zhang 929 1.1× 144 0.5× 105 0.5× 141 1.4× 20 0.3× 47 1.2k
Ghada M. El‐Banby 575 0.7× 216 0.8× 190 0.9× 247 2.4× 87 1.2× 84 1.1k

Countries citing papers authored by Saeed Mozaffari

Since Specialization
Citations

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

Fields of papers citing papers by Saeed Mozaffari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeed Mozaffari

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