Razieh Sheikhpour
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Molecular Biology
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Mehdi Agha SarramSajjad GharaghaniMohammad Ali Zare ChahookiKamal BerahmandRobab SheikhpourSaman ForouzandehAlimohammad LatifMehrnoush Mohammadi
- Topics
- Face and Expression Recognition (13 papers)Computational Drug Discovery Methods (9 papers)Machine Learning in Bioinformatics (5 papers)
In The Last Decade
Razieh Sheikhpour
44 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 570
- Computer Vision and Pattern Recognition 421
- Molecular Biology 179
- Computer Networks and Communications 130
- 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 of co-authors of Razieh Sheikhpour
This figure shows the co-authorship network connecting the top 25 collaborators of Razieh Sheikhpour. A scholar is included among the top collaborators of Razieh Sheikhpour 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 Razieh Sheikhpour. Razieh Sheikhpour 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 | 4 | |
| 3 | 0 | |
| 4 | 35 | |
| 5 | 13 | |
| 6 | 47 | |
| 7 | 42 | |
| 8 | 23 | |
| 9 | 46 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 14 | |
| 13 | 20 | |
| 14 | Breast cancer diagnosis using non-parametric kernel density estimation | 1 |
| 15 | Breast Cancer Detection Using Two-Step Reduction of Features Extracted From Fine Needle Aspirate and Data Mining Algorithms | 3 |
| 16 | 137 | |
| 17 | Diagnosis of Diabetes Using an Intelligent Approach Based on Bi-Level Dimensionality Reduction and Classification Algorithms | 9 |
| 18 | 3 | |
| 19 | 7 | |
| 20 | 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) and Machine Learning in Bioinformatics (5 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 Expert Systems with Applications, ACM Computing Surveys and Pattern Recognition.
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.