Abdollah Saberi
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- Radiomics and Machine Learning in Medical Imaging 12
- Medical Imaging Techniques and Applications 7
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- Parkinson's Disease Mechanisms and Treatments 4
- Neurological disorders and treatments 2
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- Advanced machining processes and optimization 2
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- Advanced X-ray and CT Imaging 7
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- Voice and Speech Disorders 3
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- Advanced Radiotherapy Techniques 2
- Co-authors
- Arman RahmimMohammad R. SalmanpourFarshad RabieiAbdolreza RahimiMojtaba ShamsaeiHasan ParsaIvan S. KlyuzhinVesna Sossi
- Journals
- Journal of Cleaner Production (1 paper)Scientific Reports (1 paper)Physics in Medicine and Biology (2 papers)
- Partner nations
- IranSwitzerlandCanada
In The Last Decade
Abdollah Saberi
19 papers receiving 408 citations
Peers
Comparison fields: 5 of 70
- Health Informatics 11
- Radiology, Nuclear Medicine and Imaging 184
- Neurology 83
- Mechanical Engineering 112
- Biomedical Engineering 132
Countries citing papers authored by Abdollah Saberi
This map shows the geographic impact of Abdollah Saberi'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 Abdollah Saberi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdollah Saberi more than expected).
Fields of papers citing papers by Abdollah Saberi
This network shows the impact of papers produced by Abdollah Saberi. 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 Abdollah Saberi. The network helps show where Abdollah Saberi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Abdollah Saberi, 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 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 15 | |
| 7 | 2022 | 36 | |
| 8 | 2022 | 30 | |
| 9 | 2022 | 0 | |
| 10 | 2021 | 37 | |
| 11 | 2021 | 0 | |
| 12 | Longitudinal Clustering Analysis and Prediction of Parkinson’s Disease Progression | 2021 | 3 |
| 13 | 2020 | 40 | |
| 14 | 2020 | 35 | |
| 15 | Optimal Feature Selection and Machine Learning for Prediction of Outcome in Parkinson’s Disease | 2020 | 7 |
| 16 | Hybrid Machine Learning Methods for Robust Identification of Parkinson’s Disease Subtypes | 2020 | 8 |
| 17 | 2019 | 45 | |
| 18 | 2018 | 11 | |
| 19 | 2018 | 21 | |
| 20 | 2016 | 84 |
About Abdollah Saberi
Abdollah Saberi is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Neurology, having authored 24 papers that have together received 415 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), Medical Imaging Techniques and Applications (7 papers), Advanced X-ray and CT Imaging (7 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Voice and Speech Disorders (3 papers), Advanced machining processes and optimization (2 papers), Neurological disorders and treatments (2 papers) and Advanced Radiotherapy Techniques (2 papers). The work is most often cited by research in Health Informatics (11 citations), Radiology, Nuclear Medicine and Imaging (184 citations) and Neurology (83 citations). Abdollah Saberi has collaborated with scholars based in Iran, Switzerland and Canada. Frequent co-authors include Arman Rahmim, Mohammad R. Salmanpour, Farshad Rabiei, Abdolreza Rahimi, Mojtaba Shamsaei, Hasan Parsa, Ivan S. Klyuzhin, Vesna Sossi, Habib Zaidi and Ghasem Hajianfar. Their work appears in journals such as Journal of Cleaner Production, Scientific Reports and Physics in Medicine and Biology.
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.