Razieh Sheikhpour
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- Face and Expression Recognition 13
- Artificial Intelligence top 2%
- Media Technology top 5%
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- Computational Drug Discovery Methods 9
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- Machine Learning in Bioinformatics 5
- Protein Structure and Dynamics 4
- Gene expression and cancer classification 4
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- Energy Efficient Wireless Sensor Networks 5
- Mobile Ad Hoc Networks 4
- Security in Wireless Sensor Networks 4
- Co-authors
- Mehdi Agha SarramSajjad GharaghaniMohammad Ali Zare ChahookiKamal BerahmandRobab SheikhpourSaman ForouzandehAlimohammad LatifMehrnoush Mohammadi
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceHealth Information Management
In The Last Decade
Razieh Sheikhpour
44 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Computer Vision and Pattern Recognition 421
- Artificial Intelligence 570
- Health Information Management 50
- Media Technology 76
- Computational Theory and Mathematics 118
Countries citing papers authored by Razieh Sheikhpour
This map shows the geographic impact of Razieh Sheikhpour'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 Razieh Sheikhpour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Razieh Sheikhpour more than expected).
Fields of papers citing papers by Razieh Sheikhpour
This network shows the impact of papers produced by Razieh Sheikhpour. 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 Razieh Sheikhpour. The network helps show where Razieh Sheikhpour may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Razieh Sheikhpour, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 35 | |
| 5 | 2024 | 13 | |
| 6 | 2023 | 47 | |
| 7 | 2023 | 42 | |
| 8 | 2023 | 23 | |
| 9 | 2023 | 46 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 7 | |
| 12 | 2017 | 14 | |
| 13 | 2017 | 20 | |
| 14 | Breast cancer diagnosis using non-parametric kernel density estimation | 2016 | 1 |
| 15 | Breast Cancer Detection Using Two-Step Reduction of Features Extracted From Fine Needle Aspirate and Data Mining Algorithms | 2015 | 3 |
| 16 | 2015 | 137 | |
| 17 | Diagnosis of Diabetes Using an Intelligent Approach Based on Bi-Level Dimensionality Reduction and Classification Algorithms | 2014 | 9 |
| 18 | 2012 | 3 | |
| 19 | 2012 | 7 | |
| 20 | 2012 | 12 |
About Razieh Sheikhpour
Razieh Sheikhpour is a scholar working on Computer Vision and Pattern Recognition, Urban Studies and Computational Theory and Mathematics, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Face and Expression Recognition (13 papers), Computational Drug Discovery Methods (9 papers), Machine Learning in Bioinformatics (5 papers), Energy Efficient Wireless Sensor Networks (5 papers), Protein Structure and Dynamics (4 papers), Gene expression and cancer classification (4 papers), Mobile Ad Hoc Networks (4 papers) and Security in Wireless Sensor Networks (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (421 citations), Artificial Intelligence (570 citations) and Health Information Management (50 citations). Razieh Sheikhpour has collaborated with scholars based in Iran, Australia and Türkiye. Frequent co-authors include Mehdi Agha Sarram, Sajjad Gharaghani, Mohammad Ali Zare Chahooki, Kamal Berahmand, Robab Sheikhpour, Saman Forouzandeh, Alimohammad Latif, Mehrnoush Mohammadi, Yuefeng Li and Sam Jabbehdari. Their work appears in journals such as Indian Journal of Science and Technology, Pattern Recognition, Information Sciences, Chemometrics and Intelligent Laboratory Systems and SAR and QSAR in environmental research.
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.