Serhat Şeker

1.1k total citations
85 papers, 845 citations indexed

About

Serhat Şeker is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Serhat Şeker has authored 85 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Control and Systems Engineering, 33 papers in Electrical and Electronic Engineering and 20 papers in Mechanical Engineering. Recurrent topics in Serhat Şeker's work include Machine Fault Diagnosis Techniques (37 papers), Fault Detection and Control Systems (19 papers) and Magnetic Properties and Applications (10 papers). Serhat Şeker is often cited by papers focused on Machine Fault Diagnosis Techniques (37 papers), Fault Detection and Control Systems (19 papers) and Magnetic Properties and Applications (10 papers). Serhat Şeker collaborates with scholars based in Türkiye, United States and Djibouti. Serhat Şeker's co-authors include Emine Ayaz, Tahir Çetin Akıncı, Sezai Taşkın, Nazmi Ekren, B.R. Upadhyaya, Mostafa Mohammadpourfard, Arash Moradzadeh, İstemihan Genç, Behnam Mohammadi‐Ivatloo and İlyas Çankaya and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Industry Applications.

In The Last Decade

Serhat Şeker

78 papers receiving 775 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Serhat Şeker Türkiye 17 531 277 200 119 107 85 845
Shuting Wan China 16 503 0.9× 330 1.2× 212 1.1× 54 0.5× 111 1.0× 76 730
Roberto Ferrero Italy 18 402 0.8× 565 2.0× 176 0.9× 96 0.8× 82 0.8× 65 1.0k
Zhenxing Liu China 16 366 0.7× 239 0.9× 198 1.0× 97 0.8× 132 1.2× 101 901
Zygfryd Głowacz Poland 11 530 1.0× 157 0.6× 405 2.0× 48 0.4× 253 2.4× 14 850
David Granados‐Lieberman Mexico 19 525 1.0× 598 2.2× 220 1.1× 55 0.5× 100 0.9× 62 1000
Yourui Huang China 18 273 0.5× 477 1.7× 114 0.6× 67 0.6× 35 0.3× 102 917
Pak-Kin Wong Macao 13 241 0.5× 137 0.5× 111 0.6× 204 1.7× 42 0.4× 28 658
Min Sun China 16 330 0.6× 292 1.1× 155 0.8× 67 0.6× 120 1.1× 73 1.2k
Rodolfo C.C. Flesch Brazil 22 510 1.0× 414 1.5× 149 0.7× 69 0.6× 92 0.9× 107 1.2k
Jia Zeng China 16 138 0.3× 149 0.5× 137 0.7× 124 1.0× 245 2.3× 43 897

Countries citing papers authored by Serhat Şeker

Since Specialization
Citations

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

Fields of papers citing papers by Serhat Şeker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serhat Şeker

This figure shows the co-authorship network connecting the top 25 collaborators of Serhat Şeker. A scholar is included among the top collaborators of Serhat Şeker 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 Serhat Şeker. Serhat Şeker 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.
Şeker, Serhat, et al.. (2024). Risk and impact-centered non-stationary signal analysis based on fault signatures for Djibouti power system. Electrical Engineering. 106(5). 5953–5966.
2.
3.
Yaslan, Yusuf, et al.. (2023). A novel integrated framework for real-time prediction of transient instabilities in power systems with their severity levels using deep learning. Sustainable Energy Grids and Networks. 36. 101221–101221. 3 indexed citations
4.
Şeker, Serhat, et al.. (2023). Signal Processing Application Based on a Hybrid Wavelet Transform to Fault Detection and Identification in Power System. Information. 14(10). 540–540. 8 indexed citations
5.
Akıncı, Tahir Çetin, et al.. (2023). Machine Learning-Based Error Correction Codes and Communication Protocols for Power Line Communication: An Overview. IEEE Access. 11. 124760–124781. 3 indexed citations
6.
Akıncı, Tahir Çetin, et al.. (2021). Derin evrişimli sinir ağı modellerinin açık kaynak kodlu yazılım platformlarında tasarımının değerlendirilmesi. Bursa Uludag University - AVESIS. 3(1). 94–98. 1 indexed citations
7.
Akıncı, Tahir Çetin, et al.. (2019). Analysis of instantaneous frequency, instantaneous amplitude and phase angle of ferroresonance in electrical power networks. Journal of Electrical Engineering. 70(6). 494–498. 5 indexed citations
8.
Akıncı, Tahir Çetin, et al.. (2019). A steady state quantum classifier. Physics Letters A. 383(13). 1410–1418. 10 indexed citations
9.
Akıncı, Tahir Çetin, et al.. (2017). Bispectrum and Energy Analysis of Wind Speed Data. 5(1). 87–91. 1 indexed citations
10.
Şeker, Serhat, et al.. (2014). Statistical Wiener process model for vibration signals in accelerated aging processes of electric motors. Journal of Vibroengineering. 16(2). 800–807. 7 indexed citations
11.
Šiljak, Harun & Serhat Şeker. (2014). Hurst Analysis of Induction Motor Vibrations from Aging Process. Balkan Journal of Electrical and Computer Engineering. 2(1). 16–19. 2 indexed citations
12.
Akıncı, Tahir Çetin, et al.. (2013). The defect detection in ceramic materials based on wavelet analysis by using the method of impulse noise. Journal of Vibroengineering. 15(2). 816–823. 5 indexed citations
13.
Şeker, Serhat, et al.. (2012). WAVELET ANALYSIS FOR VIBRATION SIGNALS. DergiPark (Istanbul University). 1 indexed citations
14.
Şeker, Serhat, et al.. (2012). Lyapunov exponent for aging process in induction motor. AIP conference proceedings. 2257–2261. 3 indexed citations
15.
Şeker, Serhat, et al.. (2011). Signal based approach for data mining in fault detection of induction motor. Scientific Research and Essays. 6(22). 4720–4731. 4 indexed citations
16.
Şeker, Serhat & A.H. Kayran. (2009). Neural network application for fault detection in electric motors. Australasian Universities Power Engineering Conference. 1–4. 3 indexed citations
17.
Taşkın, Sezai, Tahir Çetin Akıncı, & Serhat Şeker. (2008). AN APPLICATION OF DENOISING BASED ON WAVELET TRANSFORM FOR TEMPERATURE SIGNALS OF THE ALTERNATORS IN A PASSENGER COACH. DergiPark (Istanbul University). 8(2). 657–663. 1 indexed citations
18.
Şeker, Serhat, et al.. (2008). Transfer Function approach based upon wavelet transform for bearing damage detection in electric motors. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 749–752. 8 indexed citations
19.
Ayaz, Emine, et al.. (2007). Spectral and Statistical Based Modeling for Bearing Damage in Induction Motors. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 22. 320–325. 1 indexed citations
20.
Şeker, Serhat. (2003). A Reliability Model for Induction Motor Ball Bearing Degradation. Electric Power Components and Systems. 31(7). 639–652. 18 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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