Nurullah Çalık

608 total citations
28 papers, 402 citations indexed

About

Nurullah Çalık is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nurullah Çalık has authored 28 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 9 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nurullah Çalık's work include Microwave Engineering and Waveguides (7 papers), AI in cancer detection (5 papers) and Antenna Design and Optimization (5 papers). Nurullah Çalık is often cited by papers focused on Microwave Engineering and Waveguides (7 papers), AI in cancer detection (5 papers) and Antenna Design and Optimization (5 papers). Nurullah Çalık collaborates with scholars based in Türkiye, Iceland and Poland. Nurullah Çalık's co-authors include Mehmet A. Belen, Peyman Mahoutı, Sławomir Kozieł, Tülay Yıldırım, Lütfiye Durak-Ata, Anna Pietrenko‐Dabrowska, Behçet Uğur Töreyın, Stanisław Szczepański, Gökhan Bilgin and Tayfun Akgül and has published in prestigious journals such as Scientific Reports, IEEE Access and Pattern Recognition.

In The Last Decade

Nurullah Çalık

25 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nurullah Çalık Türkiye 12 165 134 75 74 36 28 402
Qing Lu China 10 128 0.8× 64 0.5× 54 0.7× 53 0.7× 13 0.4× 44 292
Chuanpei Xu China 11 164 1.0× 43 0.3× 159 2.1× 62 0.8× 15 0.4× 73 465
Lin Cao China 11 64 0.4× 53 0.4× 108 1.4× 175 2.4× 15 0.4× 58 392
Quanyuan Feng China 11 91 0.6× 34 0.3× 111 1.5× 123 1.7× 28 0.8× 41 362
Liwei Song China 14 203 1.2× 217 1.6× 149 2.0× 49 0.7× 9 0.3× 41 528
Marwah Abdulrazzaq Naser Iraq 9 296 1.8× 89 0.7× 58 0.8× 64 0.9× 41 1.1× 18 494
Markus Fischer Germany 10 163 1.0× 47 0.4× 75 1.0× 144 1.9× 77 2.1× 45 473
Keisuke Kameyama Japan 9 60 0.4× 51 0.4× 89 1.2× 185 2.5× 44 1.2× 70 386
Yubo Tian China 14 268 1.6× 372 2.8× 105 1.4× 50 0.7× 22 0.6× 76 649
Debalina Ghosh India 13 351 2.1× 375 2.8× 71 0.9× 31 0.4× 13 0.4× 69 737

Countries citing papers authored by Nurullah Çalık

Since Specialization
Citations

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

Fields of papers citing papers by Nurullah Çalık

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nurullah Çalık

This figure shows the co-authorship network connecting the top 25 collaborators of Nurullah Çalık. A scholar is included among the top collaborators of Nurullah Çalık 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 Nurullah Çalık. Nurullah Çalık 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.
Aldırmaz-Çolak, Sultan, et al.. (2025). A Comprehensive Review on ISAC for 6G: Enabling Technologies, Security, and AI/ML Perspectives. IEEE Access. 13. 97152–97193. 2 indexed citations
2.
Çalık, Nurullah, et al.. (2024). Gauss-like Logarithmic Kernel Function to improve the performance of kernel machines on the small datasets. Pattern Recognition Letters. 179. 178–184. 6 indexed citations
3.
Çalık, Nurullah, et al.. (2024). Wet-Ink Signature Forgery Detection Using Siamese ResNeXt. 1–4. 1 indexed citations
4.
Çalık, Nurullah. (2024). The model architecture search system for chromosome image classification. Signal Image and Video Processing. 18(5). 4435–4445. 1 indexed citations
5.
6.
Barkana, Duygun Erol, et al.. (2024). Identification of D- and L-phenylalanine enantiomeric mixtures by employing deep neural network models. Journal of Molecular Structure. 1304. 137628–137628. 3 indexed citations
7.
Çalık, Nurullah, et al.. (2023). Deep-learning-based precise characterization of microwave transistors using fully-automated regression surrogates. Scientific Reports. 13(1). 1445–1445. 45 indexed citations
8.
Aldırmaz-Çolak, Sultan, et al.. (2023). Estimation of Correlated Channels in Reconfigurable Intelligent Surfaces-Enabled 6G Networks. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 96–101.
9.
Çalık, Nurullah, et al.. (2022). AI-Empowered Fast Task Execution Decision for Delay-Sensitive IoT Applications in Edge Computing Networks. IEEE Access. 11. 1324–1334. 10 indexed citations
10.
Çalık, Nurullah, et al.. (2022). Classification of Cervical Precursor Lesions via Local Histogram and Cell Morphometric Features. IEEE Journal of Biomedical and Health Informatics. 27(4). 1–11. 2 indexed citations
11.
Mahoutı, Peyman, Mehmet A. Belen, Nurullah Çalık, & Sławomir Kozieł. (2022). Computationally Efficient Surrogate-Assisted Design of Pyramidal-Shaped 3-D Reflectarray Antennas. IEEE Transactions on Antennas and Propagation. 70(11). 10777–10786. 23 indexed citations
12.
Kozieł, Sławomir, Nurullah Çalık, Peyman Mahoutı, & Mehmet A. Belen. (2022). Reliable Computationally Efficient Behavioral Modeling of Microwave Passives Using Deep Learning Surrogates in Confined Domains. IEEE Transactions on Microwave Theory and Techniques. 71(3). 956–968. 20 indexed citations
13.
Kozieł, Sławomir, Nurullah Çalık, Peyman Mahoutı, & Mehmet A. Belen. (2022). Low-Cost and Highly Accurate Behavioral Modeling of Antenna Structures by Means of Knowledge-Based Domain-Constrained Deep Learning Surrogates. IEEE Transactions on Antennas and Propagation. 71(1). 105–118. 16 indexed citations
14.
Çalık, Nurullah, et al.. (2021). A whole-slide image grading benchmark and tissue classification for cervical cancer precursor lesions with inter-observer variability. Medical & Biological Engineering & Computing. 59(7-8). 1545–1561. 14 indexed citations
15.
Kozieł, Sławomir, Peyman Mahoutı, Nurullah Çalık, Mehmet A. Belen, & Stanisław Szczepański. (2021). Improved Modeling of Microwave Structures Using Performance-Driven Fully-Connected Regression Surrogate. IEEE Access. 9. 71470–71481. 31 indexed citations
16.
Çalık, Nurullah, et al.. (2021). Learning-Based Fast Decision for Task Execution in Next Generation Wireless Networks. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 1–5. 1 indexed citations
17.
Akgül, Tayfun, Nurullah Çalık, & Behçet Uğur Töreyın. (2020). Deep Learning-Based Fish Detection in Turbid Underwater Images. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 1–4. 7 indexed citations
18.
Çalık, Nurullah, et al.. (2020). Graph Embedding For Link Prediction Using Residual Variational Graph Autoencoders. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 1050. 1–4. 4 indexed citations
19.
Çalık, Nurullah, et al.. (2019). Metaphase finding with deep convolutional neural networks. Biomedical Signal Processing and Control. 52. 353–361. 12 indexed citations
20.
Çalık, Nurullah, et al.. (2017). Segmentation of precursor lesions in cervical cancer using convolutional neural networks. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 15. 1–4. 11 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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