Hamid Nasiri
Impact in
- Artificial Intelligence top 5%
- AI in cancer detection
- Neural Networks and Applications
Papers in
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- AI in cancer detection 6
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- Mineral Processing and Grinding 6
- Metallurgical Processes and Thermodynamics 3
- Co-authors
- Saeed Chehreh Chelgani (9 shared papers)Mohammad Mehdi Ebadzadeh (5 shared papers)A. Tohry (2 shared papers)Ali Dadashi (2 shared papers)Mohammad Azadi (2 shared papers)Amrollah Ebrahimi (3 shared papers)Parvin Bahadoran (1 shared paper)Morteza Pourahmad (1 shared paper)
- Journals
- Scientific Reports (2 papers)Applied Soft Computing (2 papers)Neurocomputing (1 paper)Computer Methods in Biomechanics & Biomedical Engineering (1 paper)International Journal of Mining Science and Technology (1 paper)
- Partner nations
- IranSwedenUnited Kingdom
In The Last Decade
Hamid Nasiri
37 papers receiving 778 citations
Peers
Comparison fields: 5 of 122
- Artificial Intelligence 261
- Health Informatics 11
- Neurology 45
- Virology 22
- Management Science and Operations Research 56
Countries citing papers authored by Hamid Nasiri
This map shows the geographic impact of Hamid Nasiri'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 Hamid Nasiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamid Nasiri more than expected).
Fields of papers citing papers by Hamid Nasiri
This network shows the impact of papers produced by Hamid Nasiri. 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 Hamid Nasiri. The network helps show where Hamid Nasiri may publish in the future.
Co-authors
The 25 scholars most cited alongside Hamid Nasiri, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 72 | |
| 2 | 2022 | 70 | |
| 3 | 2021 | 67 | |
| 4 | 2023 | 55 | |
| 5 | 2022 | 54 | |
| 6 | 2023 | 51 | |
| 7 | 2023 | 40 | |
| 8 | 2021 | 38 | |
| 9 | 2021 | 38 | |
| 10 | 2022 | 29 | |
| 11 | 2023 | 27 | |
| 12 | 2022 | 26 | |
| 13 | 2015 | 25 | |
| 14 | 2013 | 22 | |
| 15 | 2022 | 21 | |
| 16 | 2022 | 17 | |
| 17 | Hepatitis E Virus Infection in Hemodialysis Patients: A Seroepidemiological Survey in Jahrom, Southern Iran | 2009 | 16 |
| 18 | 2023 | 14 | |
| 19 | 2021 | 14 | |
| 20 | 2024 | 13 |
About Hamid Nasiri
Hamid Nasiri is a scholar working on Artificial Intelligence, Mechanical Engineering, Clinical Psychology, Water Science and Technology and Radiology, Nuclear Medicine and Imaging, having authored 40 papers that have together received 804 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Mineral Processing and Grinding (6 papers), Minerals Flotation and Separation Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), COVID-19 diagnosis using AI (3 papers), Metallurgical Processes and Thermodynamics (3 papers), Fault Detection and Control Systems (2 papers) and Stock Market Forecasting Methods (2 papers). The work is most often cited by research in Artificial Intelligence (261 citations), Health Informatics (11 citations), Neurology (45 citations), Virology (22 citations) and Management Science and Operations Research (56 citations). Hamid Nasiri has collaborated with scholars based in Iran, Sweden and United Kingdom. Frequent co-authors include Saeed Chehreh Chelgani, Mohammad Mehdi Ebadzadeh, A. Tohry, Ali Dadashi, Mohammad Azadi, Amrollah Ebrahimi, Parvin Bahadoran, Morteza Pourahmad, Abdolreza Sotoodeh Jahromi and Okan Mert Katipoğlu. Their work appears in journals such as Scientific Reports, Applied Soft Computing, Neurocomputing, Computer Methods in Biomechanics & Biomedical Engineering and International Journal of Mining Science and Technology.
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.