Rahime Ceylan
Impact in
- Artificial Intelligence top 10%
- Neural Networks and Applications
- AI in cancer detection
- Metaheuristic Optimization Algorithms Research
Papers in
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- AI in cancer detection 4
- Fuzzy Logic and Control Systems 3
- Metaheuristic Optimization Algorithms Research 3
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- Medical Image Segmentation Techniques 4
- Robotic Path Planning Algorithms 2
- Co-authors
- Yüksel Özbay (3 shared papers)Bekir Karlık (1 shared paper)Murat Ceylan (2 shared papers)Sadık Kara (2 shared papers)Mücahid Barstuğan (5 shared papers)Hakan Cebeci (3 shared papers)Mustafa Koplay (3 shared papers)Hasan Erdoğan (2 shared papers)
In The Last Decade
Rahime Ceylan
19 papers receiving 317 citations
Peers
Comparison fields: 5 of 80
- Health Informatics 7
- Artificial Intelligence 129
- Cardiology and Cardiovascular Medicine 77
- Health Information Management 15
- Cognitive Neuroscience 61
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 11 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 107 | |
| 2 | 2018 | 42 | |
| 3 | 2011 | 36 | |
| 4 | 2008 | 32 | |
| 5 | 2013 | 25 | |
| 6 | 2018 | 12 | |
| 7 | 2016 | 11 | |
| 8 | 2017 | 11 | |
| 9 | 2018 | 11 | |
| 10 | 2018 | 10 | |
| 11 | 2023 | 7 | |
| 12 | 2017 | 7 | |
| 13 | 2019 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2017 | 4 | |
| 16 | 2017 | 2 | |
| 17 | 2018 | 2 | |
| 18 | 2022 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2017 | 0 |
About Rahime Ceylan
Rahime Ceylan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Control and Systems Engineering, having authored 21 papers that have together received 333 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers), Fuzzy Logic and Control Systems (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Brain Tumor Detection and Classification (2 papers), Robotic Path Planning Algorithms (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Health Informatics (7 citations), Artificial Intelligence (129 citations), Cardiology and Cardiovascular Medicine (77 citations), Health Information Management (15 citations) and Cognitive Neuroscience (61 citations). Rahime Ceylan has collaborated with scholars based in Türkiye and Cambodia. Frequent co-authors include Yüksel Özbay, Bekir Karlık, Murat Ceylan, Sadık Kara, Mücahid Barstuğan, Hakan Cebeci, Mustafa Koplay, Hasan Erdoğan, Ahmet Can Solak and Akif Durdu. Their work appears in journals such as Journal of King Saud University - Computer and Information Sciences, Expert Systems with Applications, Artificial Intelligence in Medicine, Journal of Digital Imaging and Virtual Reality.
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.