Rahime Ceylan
Impact in
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- ECG Monitoring and Analysis
- Cardiac electrophysiology and arrhythmias
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
Papers in
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- Radiomics and Machine Learning in Medical Imaging 7
- COVID-19 diagnosis using AI 3
- Medical Imaging Techniques and Applications 3
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- ECG Monitoring and Analysis 8
- Co-authors
- Yüksel Özbay (8 shared papers)Bekir Karlık (4 shared papers)Murat Ceylan (3 shared papers)Sadık Kara (2 shared papers)Seral Özşen (1 shared paper)Musa Hakan Arslan (1 shared paper)Fatma Lati̇foğlu (1 shared paper)Mücahid Barstuğan (3 shared papers)
In The Last Decade
Rahime Ceylan
21 papers receiving 573 citations
Peers
Comparison fields: 5 of 76
- Cardiology and Cardiovascular Medicine 388
- Cognitive Neuroscience 299
- Signal Processing 86
- Artificial Intelligence 124
- Health Information Management 17
Countries citing papers authored by Rahime Ceylan
This map shows the geographic impact of Rahime Ceylan'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 Rahime Ceylan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahime Ceylan more than expected).
Fields of papers citing papers by Rahime Ceylan
This network shows the impact of papers produced by Rahime Ceylan. 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 Rahime Ceylan. The network helps show where Rahime Ceylan may publish in the future.
Co-authors
The 13 scholars most cited alongside Rahime Ceylan, 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 | 2005 | 182 | |
| 2 | 2006 | 157 | |
| 3 | 2008 | 134 | |
| 4 | 2005 | 30 | |
| 5 | 2008 | 21 | |
| 6 | 2007 | 18 | |
| 7 | 2017 | 14 | |
| 8 | 2018 | 12 | |
| 9 | 2018 | 8 | |
| 10 | 2009 | 8 | |
| 11 | 2014 | 8 | |
| 12 | 2017 | 6 | |
| 13 | 2018 | 6 | |
| 14 | 2014 | 4 | |
| 15 | 2023 | 2 | |
| 16 | 2017 | 2 | |
| 17 | 2022 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2019 | 1 |
About Rahime Ceylan
Rahime Ceylan is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Artificial Intelligence, Biomedical Engineering and Cognitive Neuroscience, having authored 24 papers that have together received 618 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), EEG and Brain-Computer Interfaces (6 papers), COVID-19 diagnosis using AI (3 papers), Medical Imaging Techniques and Applications (3 papers), Advanced X-ray and CT Imaging (3 papers), AI in cancer detection (3 papers) and Fuzzy Logic and Control Systems (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (388 citations), Cognitive Neuroscience (299 citations), Signal Processing (86 citations), Artificial Intelligence (124 citations) and Health Information Management (17 citations). Rahime Ceylan has collaborated with scholars based in Türkiye and Pakistan. Frequent co-authors include Yüksel Özbay, Bekir Karlık, Murat Ceylan, Sadık Kara, Seral Özşen, Musa Hakan Arslan, Fatma Lati̇foğlu, Mücahid Barstuğan, Hasan Erdoğan and Mustafa Koplay. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Expert Systems with Applications, Computers in Biology and Medicine, Artificial Intelligence in Medicine and Physical and Engineering Sciences in Medicine.
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.