Utku Köse

3.4k total citations
148 papers, 1.6k citations indexed

About

Utku Köse is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Utku Köse has authored 148 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 17 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Utku Köse's work include Artificial Intelligence in Healthcare (12 papers), COVID-19 diagnosis using AI (9 papers) and Metaheuristic Optimization Algorithms Research (8 papers). Utku Köse is often cited by papers focused on Artificial Intelligence in Healthcare (12 papers), COVID-19 diagnosis using AI (9 papers) and Metaheuristic Optimization Algorithms Research (8 papers). Utku Köse collaborates with scholars based in Türkiye, India and Kazakhstan. Utku Köse's co-authors include Ömer Deperlioğlu, José Antonio Marmolejo-Saucedo, Ahmet Arslan, Jafar A. Alzubi, Deepak Gupta, Suyash Bhardwaj, Gür Emre Güraksın, Ashish Khanna, D. Jude Hemanth and Pandian Vasant and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and Expert Systems with Applications.

In The Last Decade

Utku Köse

131 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Utku Köse Türkiye 21 411 299 215 203 200 148 1.6k
Asadullah Shaikh Saudi Arabia 22 537 1.3× 449 1.5× 336 1.6× 196 1.0× 111 0.6× 169 1.9k
Mutasem K. Alsmadi Saudi Arabia 27 359 0.9× 455 1.5× 388 1.8× 93 0.5× 93 0.5× 109 1.9k
Firuz Kamalov United Arab Emirates 21 826 2.0× 275 0.9× 201 0.9× 107 0.5× 114 0.6× 89 2.2k
Vicente García‐Díaz Spain 24 580 1.4× 488 1.6× 398 1.9× 119 0.6× 56 0.3× 120 2.0k
Muna Al‐Razgan Saudi Arabia 21 720 1.8× 317 1.1× 156 0.7× 55 0.3× 95 0.5× 92 1.9k
Ali Shariq Imran Norway 25 1.1k 2.6× 321 1.1× 137 0.6× 137 0.7× 122 0.6× 115 2.3k
Salem Alelyani Saudi Arabia 18 743 1.8× 248 0.8× 155 0.7× 85 0.4× 87 0.4× 35 1.7k
Fahima Hajjej Saudi Arabia 19 357 0.9× 382 1.3× 312 1.5× 45 0.2× 81 0.4× 58 1.3k
Vassilis C. Gerogiannis Greece 20 290 0.7× 250 0.8× 109 0.5× 96 0.5× 121 0.6× 109 1.5k
Rebeca P. Dı́az Redondo Spain 19 402 1.0× 568 1.9× 302 1.4× 108 0.5× 223 1.1× 145 1.9k

Countries citing papers authored by Utku Köse

Since Specialization
Citations

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

Fields of papers citing papers by Utku Köse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Utku Köse

This figure shows the co-authorship network connecting the top 25 collaborators of Utku Köse. A scholar is included among the top collaborators of Utku 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 Utku Köse. Utku 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.
Sugunaraj, Niroop, Utku Köse, Prabuddha Chakraborty, et al.. (2025). Distributed Energy Resource Management System (DERMS) Cybersecurity Scenarios, Trends, and Potential Technologies: A Review. IEEE Communications Surveys & Tutorials. 28. 224–277. 4 indexed citations
2.
Tomomewo, Olusegun Stanley, et al.. (2025). Vehicle-to-Grid technology: Opportunities, challenges, and future prospects for sustainable transportation. Journal of Energy Storage. 110. 114927–114927. 17 indexed citations
3.
Köse, Utku, et al.. (2024). Comparison of Stock “Trading” Decision Support Systems Based on Object Recognition Algorithms on Candlestick Charts. IEEE Access. 12. 83551–83562. 3 indexed citations
4.
Hemanth, D. Jude, et al.. (2023). Smart Applications with Advanced Machine Learning and Human-Centred Problem Design. 12 indexed citations
5.
Hossain, M. Shamim, et al.. (2023). Explainable Machine Learning for Multimedia Based Healthcare Applications. 4 indexed citations
6.
Arogundade, Oluwasefunmi, et al.. (2023). Predictive Analytics and Software Defect Severity: A Systematic Review and Future Directions. Scientific Programming. 2023. 1–18. 8 indexed citations
7.
Köse, Utku, et al.. (2021). Speech recognition based on convolutional neural networks and MFCC algorithm. DergiPark (Istanbul University). 1(1). 6–12. 19 indexed citations
8.
Aksoy, Bekir, et al.. (2020). Optimization of real-time wireless sensor based big data with deep autoencodernetwork: a tourism sector application with distributed computing. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 28(6). 4 indexed citations
9.
Köse, Utku, et al.. (2019). Planning Activities in Software Testing Process: A Literature Review and\n Suggestions for Future Research. arXiv (Cornell University). 2 indexed citations
10.
Köse, Utku, et al.. (2018). Special Issue for COMPSE 2016 – Current Trends in Optimization Technology. Intelligent Decision Technologies. 12(1). 1–2. 6 indexed citations
11.
Köse, Utku. (2018). Are We Safe Enough in the Future of Artificial Intelligence? A Discussion on Machine Ethics and Artificial Intelligence Safety. SHILAP Revista de lepidopterología. 4 indexed citations
12.
Demir, Ahmet & Utku Köse. (2017). Solving Optimization Problems via Vortex Optimization Algorithm and Cognitive Development Optimization Algorithm. SHILAP Revista de lepidopterología. 2 indexed citations
13.
Köse, Utku, et al.. (2017). Pros and Cons Gamification and Gaming in Classroom. arXiv (Cornell University). 8(2). 56–62. 18 indexed citations
14.
Köse, Utku, Gür Emre Güraksın, & Ömer Deperlioğlu. (2016). Cognitive Development Optimization Algorithm Based Support Vector Machines for Determining Diabetes. SHILAP Revista de lepidopterología. 5 indexed citations
15.
Köse, Utku & Ahmet Arslan. (2016). Intelligent e-learning system for improving students’academic achievements in computer programming courses. International journal of engineering education. 32(1). 185–198. 11 indexed citations
16.
Köse, Utku, et al.. (2015). E-LEARNING EXPERIENCE WITH ARTIFICIAL INTELLIGENCE SUPPORTED SOFTWARE: An International Application on English Language Courses. DergiPark (Istanbul University). 12 indexed citations
17.
Köse, Utku, et al.. (2015). Algoritma ve Akiş Şemasi Kavramlarinin Öğretiminde Akilli Bir Yazilim Sistemi Kullanimi. 5(5). 569–586. 1 indexed citations
18.
Köse, Utku, et al.. (2013). Design and Development of a Sample "Computer Programming" Course Tool via Story-Based E-Learning Approach.. Educational Sciences Theory & Practice. 13(2). 1235–1250. 7 indexed citations
19.
Köse, Utku, et al.. (2013). Bilgisayar Programlama Öğretiminde Yapay Zekâ Tabanlı Bir Yazılım Sisteminin Geliştirilmesi ve Değerlendirilmesi. DergiPark (Istanbul University). 28(2). 469–481. 1 indexed citations
20.
Köse, Utku. (2012). Developing a Fuzzy Logic Based Game System. 3(7). 510–517. 5 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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