Hamed Tabrizchi
Impact in
- Information Systems top 5%
- Cloud Data Security Solutions
- Blockchain Technology Applications and Security
- Cloud Computing and Resource Management
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
Papers in
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- AI in cancer detection 6
- Imbalanced Data Classification Techniques 2
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- Blockchain Technology Applications and Security 2
- Co-authors
- Marjan Kuchaki Rafsanjani (4 shared papers)Jafar Razmara (7 shared papers)Sepideh Parvizpour (3 shared papers)Amir Mosavi (9 shared papers)Mohammad Masoud Javidi (1 shared paper)Francesco Palmieri (1 shared paper)Brij B. Gupta (1 shared paper)Annamária R. Várkonyi-Kóczy (2 shared papers)
In The Last Decade
Hamed Tabrizchi
24 papers receiving 502 citations
Hamed Tabrizchi's Hit Papers
Peers
Comparison fields: 5 of 86
- Information Systems 235
- Computer Networks and Communications 164
- Artificial Intelligence 207
- Health Informatics 8
- Health Information Management 23
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 20 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 24 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 | 295 |
| 2 | 2022 | 65 | |
| 3 | 2019 | 38 | |
| 4 | 2021 | 29 | |
| 5 | 2020 | 21 | |
| 6 | 2020 | 19 | |
| 7 | 2023 | 12 | |
| 8 | 2021 | 11 | |
| 9 | 2023 | 9 | |
| 10 | 2021 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2020 | 1 |
About Hamed Tabrizchi
Hamed Tabrizchi is a scholar working on Artificial Intelligence, Information Systems, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 540 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), COVID-19 diagnosis using AI (3 papers), Brain Tumor Detection and Classification (2 papers), Cutaneous Melanoma Detection and Management (2 papers), Blockchain Technology Applications and Security (2 papers), Air Quality Monitoring and Forecasting (2 papers), Imbalanced Data Classification Techniques (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Information Systems (235 citations), Computer Networks and Communications (164 citations), Artificial Intelligence (207 citations), Health Informatics (8 citations) and Health Information Management (23 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 Mosavi, Mohammad Masoud Javidi, Francesco Palmieri, Brij B. Gupta, Annamária R. Várkonyi-Kóczy, Imre Felde and László Nádai. Their work appears in journals such as Neural Processing Letters, Drug Discovery Today, Evolving Systems, Soft Computing and Technological Forecasting and Social Change.
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.