Serkan Günal

2.8k total citations · 2 hit papers
43 papers, 2.0k citations indexed

About

Serkan Günal is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Serkan Günal has authored 43 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 12 papers in Electrical and Electronic Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Serkan Günal's work include Indoor and Outdoor Localization Technologies (9 papers), Text and Document Classification Technologies (9 papers) and Spam and Phishing Detection (7 papers). Serkan Günal is often cited by papers focused on Indoor and Outdoor Localization Technologies (9 papers), Text and Document Classification Technologies (9 papers) and Spam and Phishing Detection (7 papers). Serkan Günal collaborates with scholars based in Türkiye, United Kingdom and Japan. Serkan Günal's co-authors include Alper Kürşat Uysal, Selcan Kaplan Berkaya, Efnan Şora Günal, Semih Ergi̇n, M. Bilginer Gülmezoğlu, Rifat Edizkan, Sinem Bozkurt Keser, Ömer Nezih Gerek, Uğur Yayan and Cüneyt Akınlar and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Cybernetics.

In The Last Decade

Serkan Günal

42 papers receiving 1.9k citations

Hit Papers

The impact of preprocessi... 2013 2026 2017 2021 2013 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Serkan Günal Türkiye 17 894 487 385 363 255 43 2.0k
Mohamed Hammad Egypt 28 822 0.9× 343 0.7× 728 1.9× 494 1.4× 580 2.3× 78 2.8k
Zaid Abdi Alkareem Alyasseri Iraq 28 948 1.1× 162 0.3× 154 0.4× 288 0.8× 371 1.5× 90 2.4k
Ruggero Donida Labati Italy 23 393 0.4× 417 0.9× 284 0.7× 916 2.5× 265 1.0× 75 1.9k
Adi Alhudhaif Saudi Arabia 27 630 0.7× 126 0.3× 135 0.4× 513 1.4× 140 0.5× 106 2.0k
Fabio Scotti Italy 30 915 1.0× 626 1.3× 303 0.8× 1.8k 4.9× 288 1.1× 161 3.5k
Pankoo Kim South Korea 18 562 0.6× 417 0.9× 118 0.3× 182 0.5× 102 0.4× 126 1.3k
Zhu Wang China 25 525 0.6× 310 0.6× 113 0.3× 463 1.3× 117 0.5× 122 2.7k
M. F. Mridha Bangladesh 27 1.1k 1.2× 302 0.6× 45 0.1× 413 1.1× 173 0.7× 243 2.7k
Deepika Koundal India 31 929 1.0× 401 0.8× 79 0.2× 748 2.1× 88 0.3× 114 3.2k
Hafiz Tayyab Rauf United Kingdom 35 1.0k 1.1× 269 0.6× 55 0.1× 494 1.4× 74 0.3× 121 2.9k

Countries citing papers authored by Serkan Günal

Since Specialization
Citations

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

Fields of papers citing papers by Serkan Günal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serkan Günal

This figure shows the co-authorship network connecting the top 25 collaborators of Serkan Günal. A scholar is included among the top collaborators of Serkan Günal 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 Serkan Günal. Serkan Günal 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.
Günal, Serkan, et al.. (2024). A lightweight convolutional neural network (CNN) model for diatom classification: DiatomNet. PeerJ Computer Science. 10. e1970–e1970. 3 indexed citations
2.
Günal, Serkan, et al.. (2023). A Purely Entity-Based Semantic Search Approach for Document Retrieval. Applied Sciences. 13(18). 10285–10285. 1 indexed citations
3.
Günal, Serkan, et al.. (2022). Segmentation of diatoms using edge detection and deep learning. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 30(6). 2268–2285. 10 indexed citations
4.
Berkaya, Selcan Kaplan, et al.. (2020). Classification models for SPECT myocardial perfusion imaging. Computers in Biology and Medicine. 123. 103893–103893. 38 indexed citations
5.
Işık, Şahin, Kemal Özkan, Serkan Günal, & Ömer Nezih Gerek. (2018). SWCD: a sliding window and self-regulated learning-based background updating method for change detection in videos. Journal of Electronic Imaging. 27(2). 1–1. 50 indexed citations
6.
Günal, Serkan, et al.. (2017). THE IMPACT OF TEXT REPRESENTATION AND PREPROCESSING ON AUTHOR IDENTIFICATION. DergiPark (Istanbul University). 18(1). 218–218. 1 indexed citations
7.
Berkaya, Selcan Kaplan, Serkan Günal, & Cüneyt Akınlar. (2017). EDTriangles: a high-speed triangle detection algorithm with a false detection control. Pattern Analysis and Applications. 21(1). 221–231. 2 indexed citations
8.
Keser, Sinem Bozkurt, Ahmet Yazıcı, Serkan Günal, & Uğur Yayan. (2015). A survey on RF mapping for indoor positioning. 2066–2069. 3 indexed citations
9.
Keser, Sinem Bozkurt, et al.. (2015). Classifier selection for RF based indoor positioning. 791–794. 7 indexed citations
10.
Keser, Sinem Bozkurt, et al.. (2015). A novel multi-sensor and multi-topological database for indoor positioning on fingerprint techniques. 1–7. 7 indexed citations
11.
Ergi̇n, Semih, Alper Kürşat Uysal, Efnan Şora Günal, Serkan Günal, & M. Bilginer Gülmezoğlu. (2014). ECG based biometric authentication using ensemble of features. Çanakkale Onsekiz Mart University AVESIS. 1–6. 30 indexed citations
12.
Günal, Serkan, Semih Ergi̇n, Efnan Şora Günal, & Alper Kürşat Uysal. (2013). ECG classification using ensemble of features. Çanakkale Onsekiz Mart University AVESIS. 1–5. 5 indexed citations
13.
Uysal, Alper Kürşat & Serkan Günal. (2013). The impact of preprocessing on text classification. Information Processing & Management. 50(1). 104–112. 456 indexed citations breakdown →
14.
Uysal, Alper Kürşat, Serkan Günal, Semih Ergi̇n, & Efnan Şora Günal. (2013). The Impact of Feature Extraction and Selection on SMS Spam Filtering. Elektronika ir Elektrotechnika. 19(5). 67–72. 46 indexed citations
15.
Günal, Serkan, et al.. (2013). Circular traffic sign recognition empowered by circle detection algorithm. 1–4. 8 indexed citations
16.
Topal, Cihan, et al.. (2013). A Low-Computational Approach on Gaze Estimation With Eye Touch System. IEEE Transactions on Cybernetics. 44(2). 228–239. 19 indexed citations
17.
Günal, Serkan. (2012). Hybrid feature selection for text classification. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 65 indexed citations
18.
Günal, Serkan. (2008). Automated Categorization Scheme for Digital Libraries in Distance Learning: A Pattern Recognition Approach. Turkish Online Journal of Distance Education. 9(4). 30–38. 1 indexed citations
19.
Günal, Serkan, Rifat Edizkan, Ömer Nezih Gerek, & D.G. Ece. (2008). Feature selection for power quality event classification. 1–4. 2 indexed citations
20.
Günal, Serkan & Rifat Edizkan. (2008). Subspace based feature selection for pattern recognition. Information Sciences. 178(19). 3716–3726. 87 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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