Erdal Özbay
Impact in
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- Brain Tumor Detection and Classification
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- Artificial Intelligence in Healthcare
Papers in
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- AI in cancer detection 10
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- Advanced Image and Video Retrieval Techniques 4
- Advanced Neural Network Applications 3
- Co-authors
- Feyza Altunbey Özbay (18 shared papers)Ahmet Çınar (7 shared papers)Farhad Soleimanian Gharehchopogh (3 shared papers)Emine Cengil (1 shared paper)Muhammed Yıldırım (1 shared paper)Nima Khodadadi (1 shared paper)Farhad Soleimanian Gharehchopogh (1 shared paper)Seyedali Mirjalili (1 shared paper)
- Journals
- Computers in Biology and Medicine (2 papers)Computer Modeling in Engineering & Sciences (1 paper)Computer Methods and Programs in Biomedicine (1 paper)IEEE Access (1 paper)Measurement (1 paper)
- Partner nations
- TürkiyeIranUnited States
In The Last Decade
Erdal Özbay
30 papers receiving 329 citations
Peers
Comparison fields: 5 of 88
- Neurology 58
- Health Information Management 29
- Computer Vision and Pattern Recognition 120
- Artificial Intelligence 132
- Health Informatics 5
Countries citing papers authored by Erdal Özbay
This map shows the geographic impact of Erdal Özbay'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 Erdal Özbay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erdal Özbay more than expected).
Fields of papers citing papers by Erdal Özbay
This network shows the impact of papers produced by Erdal Özbay. 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 Erdal Özbay. The network helps show where Erdal Özbay may publish in the future.
Co-authors
The 9 scholars most cited alongside Erdal Özbay, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 78 | |
| 2 | 2017 | 29 | |
| 3 | 2023 | 25 | |
| 4 | 2023 | 25 | |
| 5 | 2024 | 20 | |
| 6 | 2018 | 17 | |
| 7 | 2023 | 17 | |
| 8 | 2024 | 15 | |
| 9 | 2024 | 14 | |
| 10 | 2023 | 13 | |
| 11 | 2018 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2021 | 9 | |
| 14 | 2024 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2022 | 4 |
About Erdal Özbay
Erdal Özbay is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Signal Processing, having authored 39 papers that have together received 344 indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Brain Tumor Detection and Classification (4 papers), 3D Surveying and Cultural Heritage (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Cutaneous Melanoma Detection and Management (3 papers), COVID-19 diagnosis using AI (3 papers), Music and Audio Processing (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Neurology (58 citations), Health Information Management (29 citations), Computer Vision and Pattern Recognition (120 citations), Artificial Intelligence (132 citations) and Health Informatics (5 citations). Erdal Özbay has collaborated with scholars based in Türkiye, Iran and United States. Frequent co-authors include Feyza Altunbey Özbay, Ahmet Çınar, Farhad Soleimanian Gharehchopogh, Emine Cengil, Muhammed Yıldırım, Nima Khodadadi, Farhad Soleimanian Gharehchopogh, Seyedali Mirjalili and Ahmet Cevahir Çınar. Their work appears in journals such as Computers in Biology and Medicine, Computer Modeling in Engineering & Sciences, Computer Methods and Programs in Biomedicine, IEEE Access and Measurement.
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.