Ömer Deperlioğlu
Impact in
- Health Informatics top 10%
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- Artificial Intelligence in Healthcare
Papers in
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- Phonocardiography and Auscultation Techniques 13
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- Fuzzy Logic and Control Systems 5
- Neural Networks and Applications 3
- Co-authors
- Utku Köse (22 shared papers)Çetin Elmas (2 shared papers)H. Hüseyin Sayan (1 shared paper)Deepak Gupta (2 shared papers)Ashish Khanna (2 shared papers)Gür Emre Güraksın (6 shared papers)Arun Kumar Sangaiah (1 shared paper)Giancarlo Fortino (1 shared paper)
In The Last Decade
Ömer Deperlioğlu
44 papers receiving 543 citations
Peers
Comparison fields: 5 of 100
- Health Informatics 16
- Health Information Management 52
- Computer Science Applications 43
- Issues, ethics and legal aspects 6
- Computer Vision and Pattern Recognition 91
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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 94 | |
| 2 | 2010 | 61 | |
| 3 | 2020 | 60 | |
| 4 | 2021 | 58 | |
| 5 | 2018 | 32 | |
| 6 | 2020 | 28 | |
| 7 | Classification of Phonocardiograms with Convolutional Neural Networks | 2018 | 25 |
| 8 | 2011 | 23 | |
| 9 | 2018 | 19 | |
| 10 | 2016 | 17 | |
| 11 | 2020 | 16 | |
| 12 | 2019 | 12 | |
| 13 | 2021 | 12 | |
| 14 | 2018 | 12 | |
| 15 | 2015 | 11 | |
| 16 | 2018 | 10 | |
| 17 | 2003 | 10 | |
| 18 | 2010 | 10 | |
| 19 | Development of a Relational Database for Learning Management Systems. | 2011 | 7 |
| 20 | 2017 | 6 |
About Ömer Deperlioğlu
Ömer Deperlioğlu is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Health Information Management, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 591 indexed citations. Recurring topics across this work include Phonocardiography and Auscultation Techniques (13 papers), Artificial Intelligence in Healthcare (8 papers), Fuzzy Logic and Control Systems (5 papers), Retinal Imaging and Analysis (5 papers), Online and Blended Learning (5 papers), Online Learning and Analytics (3 papers), Neural Networks and Applications (3 papers) and Advanced Control Systems Design (3 papers). The work is most often cited by research in Health Informatics (16 citations), Health Information Management (52 citations), Computer Science Applications (43 citations), Issues, ethics and legal aspects (6 citations) and Computer Vision and Pattern Recognition (91 citations). Ömer Deperlioğlu has collaborated with scholars based in Türkiye, India and Taiwan. Frequent co-authors include Utku Köse, Çetin Elmas, H. Hüseyin Sayan, Deepak Gupta, Ashish Khanna, Gür Emre Güraksın, Arun Kumar Sangaiah, Giancarlo Fortino, D. Jude Hemanth and Fabio Giampaolo. Their work appears in journals such as International Journal of Bio-Inspired Computation, Future Generation Computer Systems, Computer Communications, Expert Systems with Applications and Wireless Networks.
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.