Hamid Sadeghi
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology top 10%
- Computer Science Applications top 5%
- Artificial Intelligence
- Education top 10%
- Co-authors
- Ahmad A. KardanSaeed Shiry GhidaryGholam R. AminMohammad-Reza MohammadiAli MoeiniKarim FaezH. MoeiniAli Emrouznejad
- Topics
- Face and Expression Recognition (8 papers)Emotion and Mood Recognition (7 papers)Online and Blended Learning (5 papers)
- Cited by
- Computer Science ApplicationsExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Partner nations
- IranUnited KingdomItaly
In The Last Decade
Hamid Sadeghi
23 papers receiving 359 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 136
- Experimental and Cognitive Psychology 118
- Computer Science Applications 91
- Artificial Intelligence 78
- Education 64
Countries citing papers authored by Hamid Sadeghi
This map shows the geographic impact of Hamid Sadeghi'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 Hamid Sadeghi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamid Sadeghi more than expected).
Fields of papers citing papers by Hamid Sadeghi
This network shows the impact of papers produced by Hamid Sadeghi. 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 Hamid Sadeghi. The network helps show where Hamid Sadeghi may publish in the future.
Co-authorship network of co-authors of Hamid Sadeghi
This figure shows the co-authorship network connecting the top 25 collaborators of Hamid Sadeghi. A scholar is included among the top collaborators of Hamid Sadeghi 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 Hamid Sadeghi. Hamid Sadeghi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 4 | |
| 3 | 27 | |
| 4 | Detecting the Minerals’ Ore Grade Using the Emotional Network and Image Processing Techniques | 1 |
| 5 | 7 | |
| 6 | 6 | |
| 7 | 34 | |
| 8 | 4 | |
| 9 | 16 | |
| 10 | 10 | |
| 11 | 28 | |
| 12 | 5 | |
| 13 | 10 | |
| 14 | 27 | |
| 15 | 94 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 14 | |
| 20 | 1 |
About Hamid Sadeghi
Hamid Sadeghi is a scholar working on Computer Science Applications, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 377 indexed citations. Recurring topics across this work include Face and Expression Recognition (8 papers), Emotion and Mood Recognition (7 papers) and Online and Blended Learning (5 papers). The work is most often cited by research in Computer Science Applications (91 citations), Experimental and Cognitive Psychology (118 citations) and Computer Vision and Pattern Recognition (136 citations). Hamid Sadeghi has collaborated with scholars based in Iran, United Kingdom and Italy. Frequent co-authors include Ahmad A. Kardan, Saeed Shiry Ghidary, Gholam R. Amin, Mohammad-Reza Mohammadi, Ali Moeini, Karim Faez, H. Moeini, Ali Emrouznejad, Saba Adabi and Qiuyun Xu. Their work appears in journals such as Computers in Human Behavior, Computers & Education and Information Sciences.
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.