Cemal Köse

1.4k total citations
75 papers, 1.0k citations indexed

About

Cemal Köse is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Cemal Köse has authored 75 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 21 papers in Radiology, Nuclear Medicine and Imaging and 19 papers in Cognitive Neuroscience. Recurrent topics in Cemal Köse's work include Retinal Imaging and Analysis (19 papers), EEG and Brain-Computer Interfaces (15 papers) and Medical Image Segmentation Techniques (10 papers). Cemal Köse is often cited by papers focused on Retinal Imaging and Analysis (19 papers), EEG and Brain-Computer Interfaces (15 papers) and Medical Image Segmentation Techniques (10 papers). Cemal Köse collaborates with scholars based in Türkiye, France and Czechia. Cemal Köse's co-authors include Uğur Şevik, Hidayet Erdöl, Mete Yağanoğlu, Fatih Gürcan, Temel Kayıkçıoğlu, Ferhat Bozkurt, Özcan Özyurt, Ahmet Sarı, İbrahi̇m Alp and Zeynep Turgut and has published in prestigious journals such as Expert Systems with Applications, Sensors and Applied Soft Computing.

In The Last Decade

Cemal Köse

68 papers receiving 940 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cemal Köse Türkiye 18 423 405 267 174 121 75 1.0k
Hanung Adi Nugroho Indonesia 21 616 1.5× 641 1.6× 247 0.9× 475 2.7× 136 1.1× 287 2.0k
Dorothy Monekosso United Kingdom 12 745 1.8× 322 0.8× 218 0.8× 443 2.5× 33 0.3× 63 1.3k
Igi Ardiyanto Indonesia 15 348 0.8× 226 0.6× 67 0.3× 310 1.8× 36 0.3× 142 945
Mohammad Farukh Hashmi India 19 552 1.3× 264 0.7× 33 0.1× 273 1.6× 115 1.0× 94 1.2k
Qiang Ji United States 16 606 1.4× 94 0.2× 140 0.5× 281 1.6× 44 0.4× 70 1.3k
Bappaditya Mandal Singapore 17 623 1.5× 82 0.2× 55 0.2× 176 1.0× 80 0.7× 56 1.2k
Shuihua Wang United Kingdom 20 417 1.0× 385 1.0× 26 0.1× 502 2.9× 81 0.7× 66 1.4k
Yaman Akbulut Türkiye 15 208 0.5× 118 0.3× 38 0.1× 152 0.9× 46 0.4× 32 741
Chunyu Hu China 13 247 0.6× 209 0.5× 143 0.5× 193 1.1× 15 0.1× 56 766
Yung‐Hui Li Taiwan 15 349 0.8× 137 0.3× 64 0.2× 137 0.8× 56 0.5× 93 975

Countries citing papers authored by Cemal Köse

Since Specialization
Citations

This map shows the geographic impact of Cemal Köse'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 Cemal Köse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cemal Köse more than expected).

Fields of papers citing papers by Cemal Köse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cemal Köse. 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 Cemal Köse. The network helps show where Cemal Köse may publish in the future.

Co-authorship network of co-authors of Cemal Köse

This figure shows the co-authorship network connecting the top 25 collaborators of Cemal Köse. A scholar is included among the top collaborators of Cemal Köse 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 Cemal Köse. Cemal Köse 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.
Köse, Cemal, et al.. (2024). A novel multimodal EEG-image fusion approach for emotion recognition: introducing a multimodal KMED dataset. Neural Computing and Applications. 37(6). 5187–5202. 1 indexed citations
2.
3.
Köse, Cemal, et al.. (2023). Improving a cortical pyramidal neuron model’s classification performance on a real-world ecg dataset by extending inputs. Journal of Computational Neuroscience. 51(3). 329–341.
4.
Turgut, Zeynep, et al.. (2022). Machine learning-based intrusion detection for SCADA systems in healthcare. Network Modeling Analysis in Health Informatics and Bioinformatics. 11(1). 11 indexed citations
5.
Köse, Cemal, et al.. (2022). A novel approach with the dynamic decision mechanism (DDM) in multi-focus image fusion. Multimedia Tools and Applications. 82(2). 1821–1871. 2 indexed citations
6.
Nabiyev, Vasif V., et al.. (2021). Automatic Retrieval of Shoeprints Using Modified Multi-Block Local Binary Pattern. Symmetry. 13(2). 296–296. 8 indexed citations
7.
Yağanoğlu, Mete & Cemal Köse. (2018). Real-Time Detection of Important Sounds with a Wearable Vibration Based Device for Hearing-Impaired People. Electronics. 7(4). 50–50. 25 indexed citations
8.
Köse, Cemal, et al.. (2018). A Quasi-probabilistic distribution model for EEG Signal classification by using 2-D signal representation. Computer Methods and Programs in Biomedicine. 162. 187–196. 6 indexed citations
9.
Yağanoğlu, Mete & Cemal Köse. (2017). Wearable Vibration Based Computer Interaction and Communication System for Deaf. Applied Sciences. 7(12). 1296–1296. 8 indexed citations
10.
11.
Köse, Cemal, et al.. (2017). Blood Vessel Extraction in Color Retinal Fundus Images with Enhancement Filtering and Unsupervised Classification. Journal of Healthcare Engineering. 2017. 1–12. 28 indexed citations
12.
Köse, Cemal, et al.. (2017). Multi-focus image fusion using Stationary Wavelet Transform (SWT) with Principal Component Analysis (PCA). International Conference on Electrical and Electronics Engineering. 17 indexed citations
13.
Bozkurt, Ferhat, et al.. (2017). Comparison of seeded region growing and random walk methods for vessel and bone segmentation in CTA images. International Conference on Electrical and Electronics Engineering. 4 indexed citations
14.
Gürcan, Fatih & Cemal Köse. (2017). Analysis of software engineering industry needs and trends: implications for education. International journal of engineering education. 33(4). 1361–1368. 24 indexed citations
15.
Bozkurt, Ferhat, Cemal Köse, & Ahmet Sarı. (2017). Segmentation of carotid arteries in CTA images using region-based active contours and classification. 1–8. 2 indexed citations
16.
Köse, Cemal, et al.. (2011). Simple methods for segmentation and measurement of diabetic retinopathy lesions in retinal fundus images. Computer Methods and Programs in Biomedicine. 107(2). 274–293. 67 indexed citations
17.
Köse, Cemal, et al.. (2010). Comparing 2D matched filter response and Gabor filter methods for vessel segmentation in retinal images. 648–652. 5 indexed citations
18.
Köse, Cemal, et al.. (2008). A comparison of textual data mining methods for sex identification in chat conversations. 638–643. 4 indexed citations
19.
Özdemir, Durmuş & Cemal Köse. (2008). GEZGİN ROBOTLARIN ÇİFTLİKLERDE ÜRÜN YERİ BELİRLEME VE TAŞIMA İŞLEMLERİNDE KULLANIMI. Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 1(1). 49–60.
20.
Köse, Cemal, et al.. (2008). A Statistical Segmentation Method for Measuring Age-Related Macular Degeneration in Retinal Fundus Images. Journal of Medical Systems. 34(1). 1–13. 48 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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