Hamed Tabrizchi
Impact in
- Information Systems top 5%
- Cloud Data Security Solutions
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
Papers in
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- Privacy-Preserving Technologies in Data 4
- Imbalanced Data Classification Techniques 2
- AI in cancer detection 2
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- Cloud Computing and Resource Management 3
- Co-authors
- Marjan Kuchaki Rafsanjani (6 shared papers)Jafar Razmara (8 shared papers)Sepideh Parvizpour (3 shared papers)Amir Hosein Mosavi (7 shared papers)Mohammad Masoud Javidi (1 shared paper)Brij Bhooshan Gupta (1 shared paper)Francesco Palmieri (1 shared paper)Annamária R. Várkonyi-Kóczy (3 shared papers)
In The Last Decade
Hamed Tabrizchi
27 papers receiving 594 citations
Hamed Tabrizchi's Hit Papers
Peers
Comparison fields: 5 of 68
- Information Systems 257
- Computer Networks and Communications 97
- Artificial Intelligence 140
- Oncology 57
- Health Information Management 19
Countries citing papers authored by Hamed Tabrizchi
This map shows the geographic impact of Hamed Tabrizchi'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 Hamed Tabrizchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamed Tabrizchi more than expected).
Fields of papers citing papers by Hamed Tabrizchi
This network shows the impact of papers produced by Hamed Tabrizchi. 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 Hamed Tabrizchi. The network helps show where Hamed Tabrizchi may publish in the future.
Co-authors
The 21 scholars most cited alongside Hamed Tabrizchi, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A survey on security challenges in cloud computing: issues, threats, and solutions Hit paper breakdown → | 2020 | 356 |
| 2 | 2022 | 69 | |
| 3 | 2019 | 40 | |
| 4 | 2021 | 31 | |
| 5 | 2020 | 23 | |
| 6 | 2020 | 20 | |
| 7 | 2023 | 14 | |
| 8 | 2021 | 12 | |
| 9 | 2022 | 10 | |
| 10 | 2023 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2024 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2025 | 4 | |
| 15 | 2020 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2025 | 2 |
About Hamed Tabrizchi
Hamed Tabrizchi is a scholar working on Artificial Intelligence, Information Systems, Health Information Management, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications, having authored 32 papers that have together received 633 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (4 papers), Artificial Intelligence in Healthcare (3 papers), Cloud Computing and Resource Management (3 papers), COVID-19 diagnosis using AI (3 papers), Imbalanced Data Classification Techniques (2 papers), Cutaneous Melanoma Detection and Management (2 papers), AI in cancer detection (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Information Systems (257 citations), Computer Networks and Communications (97 citations), Artificial Intelligence (140 citations), Oncology (57 citations) and Health Information Management (19 citations). Hamed Tabrizchi has collaborated with scholars based in Iran, Hungary and Slovakia. Frequent co-authors include Marjan Kuchaki Rafsanjani, Jafar Razmara, Sepideh Parvizpour, Amir Hosein Mosavi, Mohammad Masoud Javidi, Brij Bhooshan Gupta, Francesco Palmieri, Annamária R. Várkonyi-Kóczy, Imre Felde and László Nádai. Their work appears in journals such as Computer Modeling in Engineering & Sciences, Applied Soft Computing, Journal of Grid Computing, Drug Discovery Today and Soft Computing.
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.