Aytürk Keleş

875 total citations
13 papers, 434 citations indexed

About

Aytürk Keleş is a scholar working on Artificial Intelligence, Information Systems and Health Information Management. According to data from OpenAlex, Aytürk Keleş has authored 13 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Health Information Management. Recurrent topics in Aytürk Keleş's work include AI in cancer detection (2 papers), Fuzzy Logic and Control Systems (2 papers) and Artificial Intelligence in Healthcare (2 papers). Aytürk Keleş is often cited by papers focused on AI in cancer detection (2 papers), Fuzzy Logic and Control Systems (2 papers) and Artificial Intelligence in Healthcare (2 papers). Aytürk Keleş collaborates with scholars based in Türkiye. Aytürk Keleş's co-authors include Ali Keleş, Yılmaz Aksoy, Abdulsamet Haşıloğlu, A. Okatan and Bilge Mutlu and has published in prestigious journals such as Expert Systems with Applications, Knowledge-Based Systems and Computers in Biology and Medicine.

In The Last Decade

Aytürk Keleş

12 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aytürk Keleş Türkiye 8 259 106 80 77 55 13 434
Ali Keleş Türkiye 9 268 1.0× 106 1.0× 77 1.0× 82 1.1× 56 1.0× 17 460
Hassan Najadat Jordan 13 309 1.2× 47 0.4× 154 1.9× 34 0.4× 80 1.5× 54 559
Yenny Villuendas-Rey Mexico 12 281 1.1× 34 0.3× 108 1.4× 121 1.6× 61 1.1× 76 540
Nahla Barakat Egypt 8 443 1.7× 238 2.2× 134 1.7× 22 0.3× 47 0.9× 21 701
Mohammad Alshraideh Jordan 13 128 0.5× 48 0.5× 119 1.5× 12 0.2× 35 0.6× 49 421
Ramjeevan Singh Thakur India 9 167 0.6× 48 0.5× 147 1.8× 9 0.1× 63 1.1× 43 340
Cheng-Hsiung Weng Taiwan 9 124 0.5× 59 0.6× 143 1.8× 15 0.2× 15 0.3× 16 310
Yogan Jaya Kumar Malaysia 11 352 1.4× 56 0.5× 74 0.9× 24 0.3× 49 0.9× 42 497
Doug Fisher United States 8 287 1.1× 34 0.3× 109 1.4× 7 0.1× 55 1.0× 15 516
Pedro González Spain 15 467 1.8× 19 0.2× 348 4.3× 22 0.3× 27 0.5× 45 818

Countries citing papers authored by Aytürk Keleş

Since Specialization
Citations

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

Fields of papers citing papers by Aytürk Keleş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aytürk Keleş

This figure shows the co-authorship network connecting the top 25 collaborators of Aytürk Keleş. A scholar is included among the top collaborators of Aytürk Keleş 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 Aytürk Keleş. Aytürk Keleş is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Keleş, Ali, et al.. (2025). Deep neural network-based tools for hotel marketing activities of online travel agents. Multimedia Tools and Applications. 84(33). 41427–41450.
2.
Keleş, Ali, et al.. (2023). PARNet: Deep neural network for the diagnosis of parkinson's disease. Multimedia Tools and Applications. 83(12). 35781–35793. 10 indexed citations
3.
Keleş, Aytürk, et al.. (2021). COV19-CNNet and COV19-ResNet: Diagnostic Inference Engines for Early Detection of COVID-19. Cognitive Computation. 16(4). 1612–1622. 51 indexed citations
4.
Keleş, Aytürk, et al.. (2020). Yapay Zekâ Teknolojisi ile Uçuş Fiyatı Tahmin Modeli Geliştirme. Turkish Studies. 15(4). 511–520. 1 indexed citations
5.
Keleş, Aytürk. (2020). MAKİNE ÖĞRENME YÖNTEMLERİ İLE UÇAK BİLET FİYATLARININ TAHMİNİ. 7(11). 1–2. 3 indexed citations
6.
Keleş, Aytürk. (2018). Nesnelerin İnternetinin Getirdiği Yenilikler ve Sorunları. Journal of Turkish Studies. 13(Volume 13 Issue 13). 53–66. 2 indexed citations
7.
Keleş, Ali & Aytürk Keleş. (2015). IBMMS Decision Support Tool for Management of Bank Telemarketing Campaign. arXiv (Cornell University). 7(5). 1–15. 7 indexed citations
8.
Keleş, Aytürk. (2014). Expert Doctor Verdis: Integrated medical expert system. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 22. 1032–1043. 7 indexed citations
9.
Keleş, Ali, et al.. (2010). Expert system based on neuro-fuzzy rules for diagnosis breast cancer. Expert Systems with Applications. 38(5). 5719–5726. 115 indexed citations
10.
Keleş, Aytürk, et al.. (2008). ZOSMAT: Web-based intelligent tutoring system for teaching–learning process. Expert Systems with Applications. 36(2). 1229–1239. 64 indexed citations
11.
Keleş, Aytürk, et al.. (2008). The adaptive neuro-fuzzy model for forecasting the domestic debt. Knowledge-Based Systems. 21(8). 951–957. 35 indexed citations
12.
Keleş, Aytürk, Abdulsamet Haşıloğlu, Ali Keleş, & Yılmaz Aksoy. (2007). Neuro-fuzzy classification of prostate cancer using NEFCLASS-J. Computers in Biology and Medicine. 37(11). 1617–1628. 41 indexed citations
13.
Keleş, Ali, et al.. (2006). ESTDD: Expert system for thyroid diseases diagnosis. Expert Systems with Applications. 34(1). 242–246. 98 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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2026