Arash Sharifi
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Co-authors
- Mir Mohsen PedramMohammad TeshnehlabNima Jafari NavimipourMahdi Aliyari ShoorehdeliMohammad Reza KeyvanpourMehdi HosseinzadehAso Mohammad DarweshNosratollah Zarghami
- Topics
- Neural Networks and Applications (11 papers)Fuzzy Logic and Control Systems (10 papers)Face and Expression Recognition (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsSensors
In The Last Decade
Arash Sharifi
74 papers receiving 869 citations
Peers
Comparison fields: 5 of 119
- Artificial Intelligence 345
- Cognitive Neuroscience 139
- Computer Vision and Pattern Recognition 136
- Computer Networks and Communications 131
- Electrical and Electronic Engineering 128
Countries citing papers authored by Arash Sharifi
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 8 | |
| 6 | 9 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 32 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 17 | |
| 17 | 23 | |
| 18 | Conflict Resolution in Data Integration Using the Relationship Between Entities | 1 |
| 19 | 59 | |
| 20 | 7 |
About Arash Sharifi
Arash Sharifi is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 80 papers that have together received 902 indexed citations. Recurring topics across this work include Neural Networks and Applications (11 papers), Fuzzy Logic and Control Systems (10 papers) and Face and Expression Recognition (7 papers). The work is most often cited by research in Artificial Intelligence (345 citations), Health Informatics (10 citations) and Cognitive Neuroscience (139 citations). Arash Sharifi has collaborated with scholars based in Iran, Iraq and Taiwan. Frequent co-authors include Mir Mohsen Pedram, Mohammad Teshnehlab, Nima Jafari Navimipour, Mahdi Aliyari Shoorehdeli, Mohammad Reza Keyvanpour, Mehdi Hosseinzadeh, Aso Mohammad Darwesh, Nosratollah Zarghami, Kamel Sabahi and Amir Masoud Rahmani. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.
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.