Abdullah Çalışkan

819 total citations
29 papers, 609 citations indexed

About

Abdullah Çalışkan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Abdullah Çalışkan has authored 29 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Biomedical Engineering. Recurrent topics in Abdullah Çalışkan's work include Neural Networks and Applications (5 papers), EEG and Brain-Computer Interfaces (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Abdullah Çalışkan is often cited by papers focused on Neural Networks and Applications (5 papers), EEG and Brain-Computer Interfaces (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Abdullah Çalışkan collaborates with scholars based in Türkiye, Ireland and United States. Abdullah Çalışkan's co-authors include Hasan Badem, Mehmet Emin Yüksel, Alper Baştürk, Mustafa İncı, Mehmet Kahraman, Mahmut Tokmakçı, İbrahim Halil Kılıç, Ömer Aydın, Fatma Uysal Ciloglu and Musa Kamacı and has published in prestigious journals such as Scientific Reports, International Journal of Hydrogen Energy and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Abdullah Çalışkan

27 papers receiving 573 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdullah Çalışkan Türkiye 14 163 109 96 81 64 29 609
Son Vu Truong Dao Vietnam 16 109 0.7× 58 0.5× 161 1.7× 74 0.9× 57 0.9× 54 762
Bassant Selim Canada 13 139 0.9× 75 0.7× 431 4.5× 81 1.0× 22 0.3× 44 953
Man Wu China 14 226 1.4× 101 0.9× 200 2.1× 71 0.9× 41 0.6× 48 740
Xiaopeng Sha China 17 63 0.4× 198 1.8× 143 1.5× 128 1.6× 38 0.6× 51 671
Jose V. Francés-Víllora Spain 11 120 0.7× 57 0.5× 156 1.6× 61 0.8× 20 0.3× 23 451
Bayram Akdemïr Türkiye 14 202 1.2× 39 0.4× 74 0.8× 213 2.6× 18 0.3× 43 621
Samah A. Gamel Egypt 14 130 0.8× 48 0.4× 63 0.7× 131 1.6× 14 0.2× 32 553
Jie Yan China 13 172 1.1× 96 0.9× 104 1.1× 213 2.6× 15 0.2× 57 620
Kamarul Hawari Ghazali Malaysia 16 106 0.7× 104 1.0× 144 1.5× 268 3.3× 13 0.2× 101 892
Siwon Kim South Korea 15 224 1.4× 28 0.3× 83 0.9× 54 0.7× 8 0.1× 37 567

Countries citing papers authored by Abdullah Çalışkan

Since Specialization
Citations

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

Fields of papers citing papers by Abdullah Çalışkan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdullah Çalışkan

This figure shows the co-authorship network connecting the top 25 collaborators of Abdullah Çalışkan. A scholar is included among the top collaborators of Abdullah Çalışkan 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 Abdullah Çalışkan. Abdullah Çalışkan 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.
Çalışkan, Abdullah, J. L. Walsh, & Daniel Riordan. (2024). River Network Biological Monitoring With AI. IEEE Technology and Society Magazine. 43(3). 72–80.
2.
Çalışkan, Abdullah, et al.. (2023). An Efficient Siamese Network and Transfer Learning-Based Predictive Maintenance System for More Sustainable Manufacturing. Sustainability. 15(12). 9272–9272. 1 indexed citations
3.
Çalışkan, Abdullah, Daniel Riordan, & J. L. Walsh. (2023). The Biomonitoring of Ireland's River Network Using a 1D Convolution Neural Network. 15. 1–4. 1 indexed citations
4.
Çalışkan, Abdullah, et al.. (2021). Experimental study and computational intelligence on dynamic viscosity and thermal conductivity of HNTs based nanolubricant. Industrial Lubrication and Tribology. 74(1). 102–110. 5 indexed citations
5.
Ciloglu, Fatma Uysal, Abdullah Çalışkan, İbrahim Halil Kılıç, et al.. (2021). Drug-resistant Staphylococcus aureus bacteria detection by combining surface-enhanced Raman spectroscopy (SERS) and deep learning techniques. Scientific Reports. 11(1). 18444–18444. 99 indexed citations
6.
Sınanoğlu, Cem, et al.. (2020). Prediction of Leakage from an Axial Piston Pump Slipper with Circular Dimples Using Deep Neural Networks. Chinese Journal of Mechanical Engineering. 33(1). 18 indexed citations
7.
İncı, Mustafa & Abdullah Çalışkan. (2020). Performance enhancement of energy extraction capability for fuel cell implementations with improved Cuckoo search algorithm. International Journal of Hydrogen Energy. 45(19). 11309–11320. 62 indexed citations
8.
Çalışkan, Abdullah, Zeynel Abidin Çil, Hasan Badem, & Derviş Karaboğa. (2020). Regression-Based Neuro-Fuzzy Network Trained by ABC Algorithm for High-Density Impulse Noise Elimination. IEEE Transactions on Fuzzy Systems. 28(6). 1084–1095. 19 indexed citations
9.
Çalışkan, Abdullah. (2019). EMG SİNYALLERİ İÇİN HİBRİD ÖZNİTELİK ÇIKARMA YÖNTEMİ GELİŞTİRİLMESİ. Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi. 2 indexed citations
10.
Çalışkan, Abdullah, Hasan Badem, & Zeynel Abidin Çil. (2019). Determination of Window Size and Sliding Interval for EMG Signals by Using Genetic Algorithm. 1–4. 1 indexed citations
11.
Badem, Hasan, et al.. (2019). Feature Selection Based on Artificial Bee Colony for Parkinson Disease Diagnosis. 1–4. 2 indexed citations
12.
Badem, Hasan, Alper Baştürk, Abdullah Çalışkan, & Mehmet Emin Yüksel. (2018). A new hybrid optimization method combining artificial bee colony and limited-memory BFGS algorithms for efficient numerical optimization. Applied Soft Computing. 70. 826–844. 41 indexed citations
13.
14.
Yüksel, Mehmet Emin, et al.. (2018). Classification of high resolution hyperspectral remote sensing data using deep neural networks. Journal of Intelligent & Fuzzy Systems. 34(4). 2273–2285. 21 indexed citations
15.
Baştürk, Alper, Mehmet Emin Yüksel, Abdullah Çalışkan, & Hasan Badem. (2017). Deep neural network classifier for hand movement prediction. 1–4. 8 indexed citations
16.
Çalışkan, Abdullah & Mehmet Emin Yüksel. (2017). Classification of coronary artery disease data sets by using a deep neural network. The EuroBiotech Journal. 1(4). 271–277. 22 indexed citations
17.
Çalışkan, Abdullah, Hasan Badem, Alper Baştürk, & Mehmet Emin Yüksel. (2016). A comparative study on classification by deep learning. 1 indexed citations
18.
Badem, Hasan, Abdullah Çalışkan, Alper Baştürk, & Mehmet Emin Yüksel. (2016). Classification of human activity by using a Stacked Autoencoder. 1–4. 11 indexed citations
19.
Badem, Hasan, Abdullah Çalışkan, Alper Baştürk, & Mehmet Emin Yüksel. (2016). Classification and diagnosis of the parkinson disease by stacked autoencoder. 13 indexed citations
20.
Çalışkan, Salim, et al.. (2013). l-Dopa synthesis catalyzed by tyrosinase immobilized in poly(ethyleneoxide) conducting polymers. International Journal of Biological Macromolecules. 56. 34–40. 22 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Son Vu Truong Dao Breakdown of academic impact, for papers by Bassant Selim Breakdown of academic impact, for papers by Man Wu Breakdown of academic impact, for papers by Xiaopeng Sha Breakdown of academic impact, for papers by Jose V. Francés-Víllora Breakdown of academic impact, for papers by Bayram Akdemïr Breakdown of academic impact, for papers by Samah A. Gamel Breakdown of academic impact, for papers by Jie Yan Breakdown of academic impact, for papers by Kamarul Hawari Ghazali Breakdown of academic impact, for papers by Siwon Kim
Rankless by CCL
2026