Majid Harouni
- Neurology top 10%
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- Radiomics and Machine Learning in Medical Imaging 2
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- Handwritten Text Recognition Techniques 6
- Face recognition and analysis 3
- Image Processing and 3D Reconstruction 3
- Image Retrieval and Classification Techniques 3
- Digital Imaging for Blood Diseases 2
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- Vehicle License Plate Recognition 4
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- Biometric Identification and Security 3
- Co-authors
- J BougaranAmjad RehmanZahid MehmoodRashid AbbasiSajid IqbalSiraj M. KhanG VallancienB Veillon
- Journals
- SHILAP Revista de lepidopterología (1 paper)Scientific Reports (1 paper)European Urology (1 paper)
- Partner nations
- IranSaudi ArabiaMalaysia
In The Last Decade
Majid Harouni
21 papers receiving 520 citations
Peers
Comparison fields: 5 of 82
- Neurology 115
- Radiology, Nuclear Medicine and Imaging 211
- Computer Vision and Pattern Recognition 174
- Biomedical Engineering 218
- Hepatology 26
Countries citing papers authored by Majid Harouni
This map shows the geographic impact of Majid Harouni'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 Majid Harouni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Majid Harouni more than expected).
Fields of papers citing papers by Majid Harouni
This network shows the impact of papers produced by Majid Harouni. 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 Majid Harouni. The network helps show where Majid Harouni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Majid Harouni, 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 | 2024 | 4 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 19 | |
| 6 | 2021 | 7 | |
| 7 | 2021 | 162 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 4 | |
| 10 | Estimation of Re-hospitalization risk of diabetic patients based on Radial Base Function (RBF) neural network method combined with colonial competition optimization algorithm | 2018 | 1 |
| 11 | 2014 | 32 | |
| 12 | 2012 | 2 | |
| 13 | 2012 | 6 | |
| 14 | 2010 | 2 | |
| 15 | 2010 | 14 | |
| 16 | 2010 | 3 | |
| 17 | 1996 | 52 | |
| 18 | 1993 | 58 | |
| 19 | Focused extracorporeal pyrotherapy: experimental study and feasibility in man. | 1993 | 51 |
| 20 | 1992 | 98 |
About Majid Harouni
Majid Harouni is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Health Information Management, having authored 22 papers that have together received 553 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (6 papers), Vehicle License Plate Recognition (4 papers), Biometric Identification and Security (3 papers), Face recognition and analysis (3 papers), Image Processing and 3D Reconstruction (3 papers), Image Retrieval and Classification Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Neurology (115 citations), Radiology, Nuclear Medicine and Imaging (211 citations) and Computer Vision and Pattern Recognition (174 citations). Majid Harouni has collaborated with scholars based in Iran, Saudi Arabia and Malaysia. Frequent co-authors include J Bougaran, Amjad Rehman, Zahid Mehmood, Rashid Abbasi, Sajid Iqbal, Siraj M. Khan, G Vallancien, B Veillon, G. Vallancien and E. Chartier-Kästler. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and European Urology.
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.