Okan Erkaymaz

454 total citations
30 papers, 369 citations indexed

About

Okan Erkaymaz is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Health Information Management. According to data from OpenAlex, Okan Erkaymaz has authored 30 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Health Information Management. Recurrent topics in Okan Erkaymaz's work include Retinal Imaging and Analysis (8 papers), Artificial Intelligence in Healthcare (5 papers) and Neural Networks and Applications (4 papers). Okan Erkaymaz is often cited by papers focused on Retinal Imaging and Analysis (8 papers), Artificial Intelligence in Healthcare (5 papers) and Neural Networks and Applications (4 papers). Okan Erkaymaz collaborates with scholars based in Türkiye, Slovenia and France. Okan Erkaymaz's co-authors include Mahmut Özer, Matjaž Perc, İlhan Ceylan, Engin Gedik, Ali Etem Gürel, Mahmut Özer, Nejat Yumuşak, Orhan Ayar, Zehra Saraç and Lyle J. Graham and has published in prestigious journals such as Expert Systems with Applications, Energy and Buildings and Physics Letters A.

In The Last Decade

Okan Erkaymaz

28 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Okan Erkaymaz Türkiye 9 163 72 69 53 49 30 369
R. Manjula Devi India 12 157 1.0× 24 0.3× 37 0.5× 41 0.8× 71 1.4× 41 390
Zeynep Garip Türkiye 10 140 0.9× 44 0.6× 40 0.6× 22 0.4× 44 0.9× 40 331
Hatem Khater Egypt 12 158 1.0× 10 0.1× 36 0.5× 56 1.1× 124 2.5× 40 425
C. Ganesh Babu India 10 78 0.5× 14 0.2× 88 1.3× 16 0.3× 14 0.3× 73 360
Nikhil Pachauri India 16 155 1.0× 29 0.4× 171 2.5× 45 0.8× 13 0.3× 37 611
Ahmad Karim Türkiye 10 104 0.6× 13 0.2× 109 1.6× 10 0.2× 23 0.5× 13 315
Ibrahim E. Ibrahim Egypt 5 87 0.5× 7 0.1× 32 0.5× 16 0.3× 18 0.4× 7 299
Hazem Migdady Jordan 10 93 0.6× 15 0.2× 54 0.8× 6 0.1× 9 0.2× 43 281
Fawzi M. Al-Naima Iraq 9 74 0.5× 51 0.7× 68 1.0× 9 0.2× 6 0.1× 45 289
Zhongwei Guo China 4 91 0.6× 7 0.1× 22 0.3× 12 0.2× 19 0.4× 8 375

Countries citing papers authored by Okan Erkaymaz

Since Specialization
Citations

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

Fields of papers citing papers by Okan Erkaymaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Okan Erkaymaz

This figure shows the co-authorship network connecting the top 25 collaborators of Okan Erkaymaz. A scholar is included among the top collaborators of Okan Erkaymaz 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 Okan Erkaymaz. Okan Erkaymaz 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.
Erkaymaz, Okan, et al.. (2025). Kırınım Analizinin Mikro Denetleyicilerde Uygulanması. Journal of Polytechnic. 28(4). 1195–1203.
2.
Erkaymaz, Okan, et al.. (2025). Enhanced obesity classification with wavelet packet decomposition and ANN–PSO: a biomedical signal processing approach. The European Physical Journal Special Topics. 234(15). 4711–4722.
3.
Erkaymaz, Okan, et al.. (2024). DİYABET RİSK DURUMUNUN BELİRLENMESİNDE SINIFLANDIRMA ALGORİTMALARININ PERFORMANSLARININ KAPSAMLI BİR ŞEKİLDE KARŞILAŞTIRILMASI. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi. 27(4). 1320–1333. 2 indexed citations
4.
Erkaymaz, Okan, et al.. (2021). A hybrid intelligent classifier to estimate obesity levels based on ERG signals. Physics Letters A. 399. 127281–127281. 7 indexed citations
5.
Erkaymaz, Okan, et al.. (2021). Effects of obesity on time-frequency components of electroretinogram signal using continuous wavelet transform. Biomedical Signal Processing and Control. 66. 102398–102398. 17 indexed citations
6.
Erkaymaz, Okan. (2020). Resilient back-propagation approach in small-world feed-forward neural network topology based on Newman–Watts algorithm. Neural Computing and Applications. 32(20). 16279–16289. 22 indexed citations
7.
8.
Erkaymaz, Okan, et al.. (2018). Comparison of Artificial Neural Network and Regression Models to Diagnose of Knee Disorder in Different Postures Using Surface Electromyography. Gazi university journal of science. 31(1). 100–110. 3 indexed citations
9.
Erkaymaz, Okan, et al.. (2018). Impact of hybrid neural network on the early diagnosis of diabetic retinopathy disease from video-oculography signals. Chaos Solitons & Fractals. 114. 164–174. 14 indexed citations
10.
Erkaymaz, Okan, Mahmut Özer, & Matjaž Perc. (2017). Performance of small-world feedforward neural networks for the diagnosis of diabetes. Applied Mathematics and Computation. 311. 22–28. 75 indexed citations
11.
Erkaymaz, Okan, et al.. (2017). Classification of diabetic retinopathy disease from Video-Oculography (VOG) signals with feature selection based on C4.5 decision tree. Zonguldak Bülent Ecevit University Institutional Repository. 1–4. 3 indexed citations
12.
Erkaymaz, Okan, et al.. (2017). Yapay Sinir Ağları ile Tr81 Bölgesi Yıllık Elektrik Enerjisi Tüketiminin Tahmini. DergiPark (Istanbul University). 1 indexed citations
13.
Erkaymaz, Okan, et al.. (2017). Detection of knee abnormality from surface EMG signals by artificial neural networks. Zonguldak Bülent Ecevit University Institutional Repository. 7. 1–4. 2 indexed citations
14.
Kaya, Hakan, et al.. (2016). Optimum Power Allocation in Amplify-and-Forward Relay Selection Systems By Using ANNs. 3(2). 1 indexed citations
15.
Erkaymaz, Okan & Mahmut Özer. (2015). Impact of small-world network topology on the conventional artificial neural network for the diagnosis of diabetes. Chaos Solitons & Fractals. 83. 178–185. 53 indexed citations
16.
Erkaymaz, Okan, Mahmut Özer, & Nejat Yumuşak. (2014). Impact of small-world topology on the performance of a feed-forward artificial neural network based on 2 different real-life problems. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 22. 708–718. 18 indexed citations
17.
Ceylan, İlhan, Engin Gedik, Okan Erkaymaz, & Ali Etem Gürel. (2014). The artificial neural network model to estimate the photovoltaic modul efficiency for all regions of the Turkey. Energy and Buildings. 84. 258–267. 25 indexed citations
18.
Ceylan, İlhan, Okan Erkaymaz, Engin Gedik, & Ali Etem Gürel. (2014). The prediction of photovoltaic module temperature with artificial neural networks. Case Studies in Thermal Engineering. 3. 11–20. 73 indexed citations
19.
Erkaymaz, Okan, et al.. (2009). GENEL VE YEREL SEÇİMLER İÇİN WEB TABANLI UYGULAMA:E-SEÇİM. DergiPark (Istanbul University). 4(2). 136–150. 1 indexed citations
20.
Özer, Mahmut, Lyle J. Graham, Okan Erkaymaz, & Muhammet Uzuntarla. (2007). Impact of synaptic noise and conductance state on spontaneous cortical firing. Neuroreport. 18(13). 1371–1374. 8 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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