Rahime Ceylan

421 total citations
20 papers, 333 citations indexed

About

Rahime Ceylan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rahime Ceylan has authored 20 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rahime Ceylan's work include Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers) and Medical Image Segmentation Techniques (4 papers). Rahime Ceylan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers) and Medical Image Segmentation Techniques (4 papers). Rahime Ceylan collaborates with scholars based in Türkiye and Cambodia. Rahime Ceylan's co-authors include Yüksel Özbay, Bekir Karlık, Murat Ceylan, Sadık Kara, Mücahid Barstuğan, Hasan Erdoğan, Ahmet Can Solak, Mustafa Koplay, Hakan Cebeci and Akif Durdu and has published in prestigious journals such as Expert Systems with Applications, Multimedia Tools and Applications and Artificial Intelligence in Medicine.

In The Last Decade

Rahime Ceylan

19 papers receiving 316 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rahime Ceylan Türkiye 10 131 77 62 45 44 20 333
Bo Fang China 9 158 1.2× 54 0.7× 36 0.6× 12 0.3× 49 1.1× 50 434
Ivo Bukovský Czechia 11 152 1.2× 21 0.3× 55 0.9× 53 1.2× 19 0.4× 58 339
Xiaolin Huang China 9 182 1.4× 82 1.1× 66 1.1× 13 0.3× 176 4.0× 31 448
Ambalika Sharma India 13 65 0.5× 211 2.7× 106 1.7× 36 0.8× 92 2.1× 36 427
Soo-Yeon Ji United States 11 232 1.8× 47 0.6× 36 0.6× 39 0.9× 83 1.9× 56 507
Helena Aidos Portugal 9 166 1.3× 40 0.5× 31 0.5× 36 0.8× 188 4.3× 27 417
Daniele Zambon Italy 6 164 1.3× 71 0.9× 13 0.2× 38 0.8× 36 0.8× 15 374
Hani Hamdan France 9 73 0.6× 22 0.3× 102 1.6× 12 0.3× 20 0.5× 30 309
R. Vidhyapriya India 10 86 0.7× 30 0.4× 18 0.3× 33 0.7× 124 2.8× 37 401

Countries citing papers authored by Rahime Ceylan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Rahime Ceylan

This figure shows the co-authorship network connecting the top 25 collaborators of Rahime Ceylan. A scholar is included among the top collaborators of Rahime Ceylan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rahime Ceylan. Rahime Ceylan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Solak, Ahmet Can & Rahime Ceylan. (2023). A sensitivity analysis for polyp segmentation with U-Net. Multimedia Tools and Applications. 82(22). 34199–34227. 7 indexed citations
2.
Ceylan, Rahime, et al.. (2022). The use of augmented reality in the teaching and training of basic exercises involved in the non-surgical treatment of neck pain. Virtual Reality. 27(1). 481–492. 1 indexed citations
3.
Ceylan, Rahime, et al.. (2020). Pancreas Segmentation in Abdominal CT Images with U-Net Model. 1–4. 6 indexed citations
4.
Barstuğan, Mücahid, et al.. (2019). Adrenal tumor characterization on magnetic resonance images. International Journal of Imaging Systems and Technology. 30(1). 252–265. 5 indexed citations
5.
Ceylan, Rahime, et al.. (2018). An extensive study for binary characterisation of adrenal tumours. Medical & Biological Engineering & Computing. 57(4). 849–862. 12 indexed citations
6.
Durdu, Akif, et al.. (2018). Human Robot Interaction to Guide a Person. 1–4. 2 indexed citations
7.
Barstuğan, Mücahid, et al.. (2018). Automatic Liver Segmentation in Abdomen CT Images using SLIC and AdaBoost Algorithms. 129–133. 10 indexed citations
8.
Barstuğan, Mücahid & Rahime Ceylan. (2018). The effect of dictionary learning on weight update of AdaBoost and ECG classification. Journal of King Saud University - Computer and Information Sciences. 32(10). 1149–1157. 11 indexed citations
9.
Ceylan, Rahime, et al.. (2018). A PSO based approach: Scout particle swarm algorithm for continuous global optimization problems. Journal of Computational Design and Engineering. 6(2). 129–142. 42 indexed citations
10.
Barstuğan, Mücahid, et al.. (2018). Full-Automatic Liver Segmentation on Abdominal MR Images. 28. 1–5. 1 indexed citations
11.
Ceylan, Rahime, et al.. (2017). RF Ensemble Novelties Based on Optimized & Backpropagated NNs. International Journal of Machine Learning and Computing. 7(4). 76–84.
12.
Ceylan, Rahime, et al.. (2017). An Efficient Pipeline for Abdomen Segmentation in CT Images. Journal of Digital Imaging. 31(2). 262–274. 4 indexed citations
13.
14.
Ceylan, Rahime, et al.. (2017). A Novel Rotation Forest Modality Based on Hybrid NNs: RF (ScPSO-NN). Journal of King Saud University - Computer and Information Sciences. 31(2). 235–251. 11 indexed citations
15.
Barstuğan, Mücahid & Rahime Ceylan. (2017). Classification of mammogram images by dictionary learning. 1–4. 2 indexed citations
16.
Ceylan, Rahime, et al.. (2016). A New Breakpoint in Hybrid Particle Swarm-Neural Network Architecture: Individual Boundary Adjustment. International Journal of Information Technology & Decision Making. 15(6). 1313–1343. 11 indexed citations
17.
Ceylan, Rahime, et al.. (2013). Artificial neural network based on rotation forest for biomedical pattern classification. 581–585. 25 indexed citations
18.
Ceylan, Rahime, Murat Ceylan, Yüksel Özbay, & Sadık Kara. (2011). Fuzzy clustering complex-valued neural network to diagnose cirrhosis disease. Expert Systems with Applications. 38(8). 9744–9751. 37 indexed citations
19.
Özbay, Yüksel, Rahime Ceylan, & Bekir Karlık. (2010). Integration of type-2 fuzzy clustering and wavelet transform in a neural network based ECG classifier. Expert Systems with Applications. 38(1). 1004–1010. 107 indexed citations
20.
Ceylan, Murat, Rahime Ceylan, Yüksel Özbay, & Sadık Kara. (2008). Application of complex discrete wavelet transform in classification of Doppler signals using complex-valued artificial neural network. Artificial Intelligence in Medicine. 44(1). 65–76. 32 indexed citations

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.

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