Ömer Deperlioğlu
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Artificial Intelligence in Healthcare 15
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- Artificial Intelligence in Healthcare and Education 7
- Co-authors
- Utku Köse (33 shared papers)Çetin Elmas (2 shared papers)Hasan Huseyin Sayan (1 shared paper)Gür Emre Güraksın (8 shared papers)Deepak Kumar Gupta (2 shared papers)Ashish K. Khanna (2 shared papers)Jafar Ahmad Abed Alzubi (11 shared papers)Arun Kumar Sangaiah (1 shared paper)
In The Last Decade
Ömer Deperlioğlu
59 papers receiving 710 citations
Peers
Comparison fields: 5 of 79
- Health Informatics 32
- Health Information Management 65
- Computer Science Applications 30
- Pulmonary and Respiratory Medicine 132
- Computer Vision and Pattern Recognition 96
Countries citing papers authored by Ömer Deperlioğlu
This map shows the geographic impact of Ömer Deperlioğlu'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 Ömer Deperlioğlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ömer Deperlioğlu more than expected).
Fields of papers citing papers by Ömer Deperlioğlu
This network shows the impact of papers produced by Ömer Deperlioğlu. 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 Ömer Deperlioğlu. The network helps show where Ömer Deperlioğlu may publish in the future.
Co-authors
The 21 scholars most cited alongside Ömer Deperlioğlu, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 98 | |
| 2 | 2020 | 65 | |
| 3 | 2010 | 64 | |
| 4 | 2021 | 59 | |
| 5 | 2020 | 36 | |
| 6 | 2011 | 33 | |
| 7 | 2018 | 32 | |
| 8 | Classification of Phonocardiograms with Convolutional Neural Networks | 2018 | 30 |
| 9 | 2020 | 29 | |
| 10 | 2018 | 25 | |
| 11 | 2016 | 23 | |
| 12 | 2018 | 21 | |
| 13 | 2019 | 18 | |
| 14 | 2018 | 15 | |
| 15 | 2020 | 15 | |
| 16 | 2020 | 14 | |
| 17 | 2010 | 12 | |
| 18 | 2015 | 12 | |
| 19 | 2018 | 12 | |
| 20 | 2021 | 12 |
About Ömer Deperlioğlu
Ömer Deperlioğlu is a scholar working on Health Information Management, Health Informatics, Pulmonary and Respiratory Medicine, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 62 papers that have together received 760 indexed citations. Recurring topics across this work include Phonocardiography and Auscultation Techniques (15 papers), Artificial Intelligence in Healthcare (15 papers), Artificial Intelligence in Healthcare and Education (7 papers), Retinal Imaging and Analysis (6 papers), Fuzzy Logic and Control Systems (4 papers), Educational Technology and E-Learning (4 papers), Online and Blended Learning (3 papers) and Image Enhancement Techniques (3 papers). The work is most often cited by research in Health Informatics (32 citations), Health Information Management (65 citations), Computer Science Applications (30 citations), Pulmonary and Respiratory Medicine (132 citations) and Computer Vision and Pattern Recognition (96 citations). Ömer Deperlioğlu has collaborated with scholars based in Türkiye, Romania and Jordan. Frequent co-authors include Utku Köse, Çetin Elmas, Hasan Huseyin Sayan, Gür Emre Güraksın, Deepak Kumar Gupta, Ashish K. Khanna, Jafar Ahmad Abed Alzubi, Arun Kumar Sangaiah, D. Jude Hemanth and Fabio Giampaolo. Their work appears in journals such as International Journal of Bio-Inspired Computation, Expert Systems with Applications, Computers & Electrical Engineering, Computer Applications in Engineering Education and The turkish online journal of educational 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.