Samet Akçay
Impact in
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- Advanced Neural Network Applications
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications
- Adversarial Robustness in Machine Learning
Papers in
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- Advanced Neural Network Applications 13
- Visual Attention and Saliency Detection 2
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- Anomaly Detection Techniques and Applications 10
- Adversarial Robustness in Machine Learning 2
- Co-authors
- Toby P. Breckon (12 shared papers)Mikolaj Kundegorski (4 shared papers)Amir Atapour–Abarghouei (2 shared papers)Chris G. Willcocks (1 shared paper)Naoufel Werghi (8 shared papers)Mohammed Bennamoun (5 shared papers)Taimur Hassan (8 shared papers)Salman Khan (4 shared papers)
- Journals
- Pattern Recognition (1 paper)IEEE Transactions on Information Forensics and Security (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Engineering Applications of Artificial Intelligence (1 paper)Sensors (1 paper)
- Partner nations
- United KingdomUnited Arab EmiratesAustralia
In The Last Decade
Samet Akçay
21 papers receiving 1.1k citations
Samet Akçay's Hit Papers
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 651
- Artificial Intelligence 539
- Industrial and Manufacturing Engineering 144
- Radiology, Nuclear Medicine and Imaging 282
- Biomedical Engineering 373
Countries citing papers authored by Samet Akçay
This map shows the geographic impact of Samet Akçay'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 Samet Akçay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samet Akçay more than expected).
Fields of papers citing papers by Samet Akçay
This network shows the impact of papers produced by Samet Akçay. 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 Samet Akçay. The network helps show where Samet Akçay may publish in the future.
Co-authors
The 25 scholars most cited alongside Samet Akçay, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hit paper breakdown → | 2019 | 293 |
| 2 | 2018 | 237 | |
| 3 | 2016 | 196 | |
| 4 | 2022 | 79 | |
| 5 | 2017 | 66 | |
| 6 | 2016 | 54 | |
| 7 | 2020 | 52 | |
| 8 | 2019 | 46 | |
| 9 | 2020 | 43 | |
| 10 | 2021 | 34 | |
| 11 | 2019 | 22 | |
| 12 | Deep CMST Framework for the Autonomous Recognition of Heavily Occluded and Cluttered Baggage Items from Multivendor Security Radiographs. | 2019 | 12 |
| 13 | 2018 | 10 | |
| 14 | 2016 | 10 | |
| 15 | 2023 | 8 | |
| 16 | 2018 | 7 | |
| 17 | 2024 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2021 | 1 |
About Samet Akçay
Samet Akçay is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (13 papers), Anomaly Detection Techniques and Applications (10 papers), Advanced X-ray and CT Imaging (5 papers), COVID-19 diagnosis using AI (3 papers), Medical Imaging Techniques and Applications (2 papers), Industrial Vision Systems and Defect Detection (2 papers), Visual Attention and Saliency Detection (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (651 citations), Artificial Intelligence (539 citations), Industrial and Manufacturing Engineering (144 citations), Radiology, Nuclear Medicine and Imaging (282 citations) and Biomedical Engineering (373 citations). Samet Akçay has collaborated with scholars based in United Kingdom, United Arab Emirates and Australia. Frequent co-authors include Toby P. Breckon, Mikolaj Kundegorski, Amir Atapour–Abarghouei, Chris G. Willcocks, Naoufel Werghi, Mohammed Bennamoun, Taimur Hassan, Salman Khan, Ashwin Vaidya and André Mouton. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Information Forensics and Security, IEEE Journal of Biomedical and Health Informatics, Engineering Applications of Artificial Intelligence and Sensors.
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.