Mohammad Hamghalam
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Neurology top 5%
- Brain Tumor Detection and Classification
Papers in
- Neurology 12
- Brain Tumor Detection and Classification 12
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- Advanced Neural Network Applications 12
- Medical Image Segmentation Techniques 10
- Digital Imaging for Blood Diseases 2
- Generative Adversarial Networks and Image Synthesis 2
- Co-authors
- Baiying Lei (6 shared papers)Tianfu Wang (4 shared papers)Amber L. Simpson (13 shared papers)Ahmad Ayatollahi (2 shared papers)Sattar Mirzakuchaki (1 shared paper)Hamid Ghadiri (1 shared paper)Jing Qin (1 shared paper)Richard Kinh Gian (6 shared papers)
- Journals
- Multimedia Tools and Applications (3 papers)Nature Communications (2 papers)Neural Networks (1 paper)Computers in Biology and Medicine (1 paper)Computer Methods and Programs in Biomedicine (1 paper)
- Partner nations
- IranCanadaUnited States
In The Last Decade
Mohammad Hamghalam
27 papers receiving 559 citations
Mohammad Hamghalam's Hit Papers
Peers
Comparison fields: 5 of 78
- Health Informatics 47
- Neurology 163
- Computer Vision and Pattern Recognition 232
- Radiology, Nuclear Medicine and Imaging 159
- Artificial Intelligence 173
Countries citing papers authored by Mohammad Hamghalam
This map shows the geographic impact of Mohammad Hamghalam'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 Mohammad Hamghalam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Hamghalam more than expected).
Fields of papers citing papers by Mohammad Hamghalam
This network shows the impact of papers produced by Mohammad Hamghalam. 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 Mohammad Hamghalam. The network helps show where Mohammad Hamghalam may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammad Hamghalam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Federated learning enables big data for rare cancer boundary detection Hit paper breakdown → | 2022 | 251 |
| 2 | 2020 | 33 | |
| 3 | 2020 | 33 | |
| 4 | 2024 | 28 | |
| 5 | 2019 | 27 | |
| 6 | 2009 | 25 | |
| 7 | 2022 | 23 | |
| 8 | 2009 | 19 | |
| 9 | 2021 | 16 | |
| 10 | 2023 | 16 | |
| 11 | 2020 | 14 | |
| 12 | 2020 | 13 | |
| 13 | 2019 | 12 | |
| 14 | 2020 | 12 | |
| 15 | 2024 | 10 | |
| 16 | 2022 | 8 | |
| 17 | 2017 | 7 | |
| 18 | 2025 | 5 | |
| 19 | 2018 | 4 | |
| 20 | 2023 | 3 |
About Mohammad Hamghalam
Mohammad Hamghalam is a scholar working on Neurology, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Biophysics, having authored 30 papers that have together received 571 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (12 papers), Advanced Neural Network Applications (12 papers), Medical Image Segmentation Techniques (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (4 papers), Advanced X-ray and CT Imaging (3 papers), Digital Imaging for Blood Diseases (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Health Informatics (47 citations), Neurology (163 citations), Computer Vision and Pattern Recognition (232 citations), Radiology, Nuclear Medicine and Imaging (159 citations) and Artificial Intelligence (173 citations). Mohammad Hamghalam has collaborated with scholars based in Iran, Canada and United States. Frequent co-authors include Baiying Lei, Tianfu Wang, Amber L. Simpson, Ahmad Ayatollahi, Sattar Mirzakuchaki, Hamid Ghadiri, Jing Qin, Richard Kinh Gian, Mónica Tafur and Robert B. Moreland. Their work appears in journals such as Multimedia Tools and Applications, Nature Communications, Neural Networks, Computers in Biology and Medicine and Computer Methods and Programs in Biomedicine.
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.