Shervan Fekri-Ershad
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- Image Retrieval and Classification Techniques 11
- Advanced Image and Video Retrieval Techniques 8
- Digital Imaging for Blood Diseases 4
- Media Technology top 2%
- Remote-Sensing Image Classification 4
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- Industrial Vision Systems and Defect Detection 6
- Artificial Intelligence top 5%
- AI in cancer detection 5
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- Radiomics and Machine Learning in Medical Imaging 3
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- Surface Roughness and Optical Measurements 4
- Co-authors
- Farshad TajeripourS. RamakrishnanLoris NanniAlireza AlaeiAzita YazdaniMohammadreza RamezanpourBehrang Barekatain
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyIndustrial and Manufacturing Engineering
In The Last Decade
Shervan Fekri-Ershad
24 papers receiving 822 citations
Peers
Comparison fields: 5 of 119
- Computer Vision and Pattern Recognition 434
- Media Technology 147
- Industrial and Manufacturing Engineering 133
- Artificial Intelligence 215
- Radiology, Nuclear Medicine and Imaging 111
Countries citing papers authored by Shervan Fekri-Ershad
This map shows the geographic impact of Shervan Fekri-Ershad'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 Shervan Fekri-Ershad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shervan Fekri-Ershad more than expected).
Fields of papers citing papers by Shervan Fekri-Ershad
This network shows the impact of papers produced by Shervan Fekri-Ershad. 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 Shervan Fekri-Ershad. The network helps show where Shervan Fekri-Ershad may publish in the future.
Co-authorship network
The 7 scholars most cited alongside Shervan Fekri-Ershad, 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 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 36 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 51 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 60 | |
| 9 | 2022 | 53 | |
| 10 | 2021 | 53 | |
| 11 | 2020 | 34 | |
| 12 | 2019 | 30 | |
| 13 | 2019 | 32 | |
| 14 | 2019 | 36 | |
| 15 | 2017 | 23 | |
| 16 | 2017 | 38 | |
| 17 | 2017 | 30 | |
| 18 | 2013 | 29 | |
| 19 | 2012 | 11 | |
| 20 | 2012 | 18 |
About Shervan Fekri-Ershad
Shervan Fekri-Ershad is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Industrial and Manufacturing Engineering, Biophysics and Analytical Chemistry, having authored 26 papers that have together received 854 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (11 papers), Advanced Image and Video Retrieval Techniques (8 papers), Industrial Vision Systems and Defect Detection (6 papers), AI in cancer detection (5 papers), Digital Imaging for Blood Diseases (4 papers), Surface Roughness and Optical Measurements (4 papers), Remote-Sensing Image Classification (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (434 citations), Media Technology (147 citations), Industrial and Manufacturing Engineering (133 citations), Artificial Intelligence (215 citations) and Radiology, Nuclear Medicine and Imaging (111 citations). Shervan Fekri-Ershad has collaborated with scholars based in Iran, Australia and Italy. Frequent co-authors include Farshad Tajeripour, S. Ramakrishnan, Loris Nanni, Alireza Alaei, Azita Yazdani, Mohammadreza Ramezanpour and Behrang Barekatain. Their work appears in journals such as Multimedia Tools and Applications, Computational Intelligence and Neuroscience, Indian Journal of Science and Technology, Expert Systems with Applications and Arabian Journal for Science and Engineering.
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.