Arash Sharifi

95 total papers · 1.3k total citations
80 papers, 884 citations indexed

About

Arash Sharifi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Arash Sharifi has authored 80 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 13 papers in Signal Processing. Recurrent topics in Arash Sharifi's work include Neural Networks and Applications (11 papers), Fuzzy Logic and Control Systems (10 papers) and Face and Expression Recognition (7 papers). Arash Sharifi is often cited by papers focused on Neural Networks and Applications (11 papers), Fuzzy Logic and Control Systems (10 papers) and Face and Expression Recognition (7 papers). Arash Sharifi collaborates with scholars based in Iran, Iraq and Taiwan. Arash Sharifi's co-authors include Mohammad Teshnehlab, Mir Mohsen Pedram, Nima Jafari Navimipour, Mahdi Aliyari Shoorehdeli, Mohammad Reza Keyvanpour, Aso Mohammad Darwesh, Mehdi Hosseinzadeh, Nosratollah Zarghami, Kamel Sabahi and Amir Masoud Rahmani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.

In The Last Decade

Arash Sharifi

73 papers receiving 851 citations

Author Peers

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

Author Last Decade Papers Cites
Arash Sharifi 340 135 133 131 127 80 884
Mir Mohsen Pedram 275 0.8× 217 1.6× 70 0.5× 54 0.4× 86 0.7× 78 871
Alex Shenfield 251 0.7× 146 1.1× 61 0.5× 187 1.4× 91 0.7× 39 952
Kishor Datta Gupta 350 1.0× 65 0.5× 88 0.7× 154 1.2× 84 0.7× 60 1.0k
Zhengxia Wang 155 0.5× 176 1.3× 101 0.8× 78 0.6× 173 1.4× 56 783
Khalid Abualsaud 228 0.7× 103 0.8× 142 1.1× 213 1.6× 230 1.8× 78 858
Xiaoqing Gu 402 1.2× 169 1.3× 271 2.0× 70 0.5× 49 0.4× 68 980
Diaa Salama AbdElminaam 434 1.3× 54 0.4× 131 1.0× 46 0.4× 161 1.3× 77 902
Lei Chen 317 0.9× 51 0.4× 169 1.3× 81 0.6× 64 0.5× 80 815
Hrudaya Kumar Tripathy 220 0.6× 40 0.3× 209 1.6× 98 0.7× 96 0.8× 66 875
Wei Guo 288 0.8× 39 0.3× 87 0.7× 158 1.2× 78 0.6× 89 984

Countries citing papers authored by Arash Sharifi

Since Specialization
Citations

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

Fields of papers citing papers by Arash Sharifi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arash Sharifi

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