Cagatay Catal

9.9k total citations · 7 hit papers
140 papers, 6.3k citations indexed

About

Cagatay Catal is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Cagatay Catal has authored 140 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Information Systems, 37 papers in Software and 30 papers in Computer Networks and Communications. Recurrent topics in Cagatay Catal's work include Software Engineering Research (39 papers), Software Reliability and Analysis Research (33 papers) and Software Testing and Debugging Techniques (15 papers). Cagatay Catal is often cited by papers focused on Software Engineering Research (39 papers), Software Reliability and Analysis Research (33 papers) and Software Testing and Debugging Techniques (15 papers). Cagatay Catal collaborates with scholars based in Türkiye, Qatar and Netherlands. Cagatay Catal's co-authors include Bedir Teki̇nerdoğan, Ayalew Kassahun, Banu Di̇ri̇, Raymon van Dinter, Ali Seydi Keçeli, Aydın Kaya, Deepti Mishra, Görkem Giray, Akhan Akbulut and Hamdi Yalın Yalıç and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Cagatay Catal

131 papers receiving 6.0k citations

Hit Papers

Crop yield prediction usi... 2008 2026 2014 2020 2020 2008 2019 2022 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cagatay Catal Türkiye 38 2.1k 1.3k 1.3k 1.2k 903 140 6.3k
Bedir Teki̇nerdoğan Netherlands 36 1.3k 0.6× 887 0.7× 354 0.3× 1.1k 0.9× 784 0.9× 231 5.0k
Nor Badrul Anuar Malaysia 45 2.5k 1.2× 214 0.2× 447 0.3× 2.0k 1.7× 3.4k 3.7× 144 8.1k
André C. P. L. F. de Carvalho Brazil 46 903 0.4× 299 0.2× 109 0.1× 4.2k 3.5× 622 0.7× 372 8.0k
Deepak Gupta India 49 1.4k 0.6× 703 0.5× 65 0.0× 3.5k 2.9× 2.2k 2.4× 443 9.8k
Anand Nayyar Vietnam 46 1.5k 0.7× 347 0.3× 91 0.1× 1.6k 1.4× 2.2k 2.4× 312 7.7k
Moez Krichen Tunisia 31 819 0.4× 227 0.2× 175 0.1× 808 0.7× 870 1.0× 165 3.2k
N. Z. Jhanjhi Malaysia 46 2.1k 1.0× 590 0.4× 60 0.0× 1.9k 1.6× 2.6k 2.9× 314 7.5k
Naeem Seliya United States 32 2.0k 0.9× 69 0.1× 1.5k 1.1× 2.0k 1.7× 987 1.1× 84 5.0k
Pradeep Kumar Singh India 30 759 0.4× 295 0.2× 116 0.1× 722 0.6× 1.1k 1.2× 171 3.3k
Ketan Kotecha India 41 795 0.4× 220 0.2× 90 0.1× 2.0k 1.7× 815 0.9× 397 7.6k

Countries citing papers authored by Cagatay Catal

Since Specialization
Citations

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

Fields of papers citing papers by Cagatay Catal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cagatay Catal

This figure shows the co-authorship network connecting the top 25 collaborators of Cagatay Catal. A scholar is included among the top collaborators of Cagatay Catal 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 Cagatay Catal. Cagatay Catal 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.
Catal, Cagatay, et al.. (2024). The use of large language models for program repair. Computer Standards & Interfaces. 93. 103951–103951. 1 indexed citations
2.
Liu, Qingzhi, Chenglu Jin, Xiaohan Zhou, et al.. (2024). Privacy and Integrity Protection for IoT Multimodal Data Using Machine Learning and Blockchain. ACM Transactions on Multimedia Computing Communications and Applications. 20(6). 1–18. 6 indexed citations
3.
Catal, Cagatay, et al.. (2023). Plant disease detection using drones in precision agriculture. Precision Agriculture. 24(5). 1663–1682. 89 indexed citations breakdown →
4.
Catal, Cagatay, et al.. (2023). Machine learning in crime prediction. Journal of Ambient Intelligence and Humanized Computing. 14(3). 2887–2913. 35 indexed citations
5.
Akbulut, Akhan, et al.. (2023). Boosting the visibility of services in microservice architecture. Cluster Computing. 27(3). 3099–3111. 5 indexed citations
6.
Catal, Cagatay, et al.. (2023). Food fraud detection using explainable artificial intelligence. Expert Systems. 42(1). 48 indexed citations
7.
Akbulut, Fatma Patlar, et al.. (2023). Deep learning-based user experience evaluation in distance learning. Cluster Computing. 27(1). 443–455. 11 indexed citations
8.
Akbulut, Akhan, et al.. (2023). Design and implementation of a deep learning-empowered m-Health application. Multimedia Tools and Applications. 83(12). 35995–36011. 2 indexed citations
9.
Dinter, Raymon van, et al.. (2023). Architecting a Digital Twin-Based Predictive Maintenance System for Modelling Cable Joint Degradation. Socio-Environmental Systems Modeling. 4(1). 1 indexed citations
10.
Catal, Cagatay, et al.. (2023). Securing the Internet of Things Network using a Hierarchical Hyperledger Fabric Model. Socio-Environmental Systems Modeling. 2. 775–779.
11.
Catal, Cagatay, et al.. (2022). Deep learning for crop yield prediction: a systematic literature review. New Zealand Journal of Crop and Horticultural Science. 51(1). 1–26. 87 indexed citations
12.
Catal, Cagatay, et al.. (2022). Detecting Malware by Analyzing App Permissions on Android Platform: A Systematic Literature Review. Sensors. 22(20). 7928–7928. 5 indexed citations
13.
Akbulut, Fatma Patlar, et al.. (2022). A Real-Time CNN-Based Lightweight Mobile Masked Face Recognition System. IEEE Access. 10. 63496–63507. 37 indexed citations
14.
Catal, Cagatay, et al.. (2021). A Firewall Policy Anomaly Detection Framework for Reliable Network Security. IEEE Transactions on Reliability. 71(1). 339–347. 29 indexed citations
15.
Catal, Cagatay, et al.. (2021). Computer vision‐based weight estimation of livestock: a systematic literature review. New Zealand Journal of Agricultural Research. 65(2-3). 227–247. 37 indexed citations
16.
Kassahun, Ayalew, et al.. (2020). Crop yield prediction using machine learning: A systematic literature review. Computers and Electronics in Agriculture. 177. 105709–105709. 991 indexed citations breakdown →
17.
Anwar, Zeeshan, Ali Ahsan, & Cagatay Catal. (2015). Neuro-Fuzzy Modeling for Multi-Objective Test Suite Optimization. Journal of Intelligent Systems. 25(2). 123–146. 6 indexed citations
18.
Catal, Cagatay. (2013). A Comparison of Semi-Supervised Classification Approaches for Software Defect Prediction. SHILAP Revista de lepidopterología. 23(1). 75–82. 26 indexed citations
19.
Catal, Cagatay & Banu Di̇ri̇. (2013). Strategija otkrivanja pogrešaka za projekte softvera. Tehnicki vjesnik - Technical Gazette. 20(1). 1–7.
20.
Catal, Cagatay & Mehmet S. Aktaş. (2011). A Composite Project Effort Estimation Approach in an Enterprise Software Development Project.. Software Engineering and Knowledge Engineering. 331–334. 3 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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