M. Bilginer Gülmezoğlu

1.1k total citations · 1 hit paper
29 papers, 734 citations indexed

About

M. Bilginer Gülmezoğlu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, M. Bilginer Gülmezoğlu has authored 29 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in M. Bilginer Gülmezoğlu's work include Face and Expression Recognition (12 papers), Fault Detection and Control Systems (4 papers) and Blind Source Separation Techniques (4 papers). M. Bilginer Gülmezoğlu is often cited by papers focused on Face and Expression Recognition (12 papers), Fault Detection and Control Systems (4 papers) and Blind Source Separation Techniques (4 papers). M. Bilginer Gülmezoğlu collaborates with scholars based in Türkiye. M. Bilginer Gülmezoğlu's co-authors include Semih Ergi̇n, Alper Kürşat Uysal, Serkan Günal, Efnan Şora Günal, Selcan Kaplan Berkaya, Atalay Barkana, Rifat Edizkan, Ömer Nezih Gerek, Şahin Işık and Cüneyt Çalışır and has published in prestigious journals such as Expert Systems with Applications, Journal of Medical Microbiology and IEEE Transactions on Speech and Audio Processing.

In The Last Decade

M. Bilginer Gülmezoğlu

25 papers receiving 705 citations

Hit Papers

A survey on ECG analysis 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Bilginer Gülmezoğlu Türkiye 10 362 233 201 186 109 29 734
Binish Fatimah India 10 195 0.5× 233 1.0× 163 0.8× 56 0.3× 81 0.7× 27 554
Yuxi Zhou China 11 453 1.3× 287 1.2× 132 0.7× 61 0.3× 86 0.8× 24 687
Mehdi Chehel Amirani Iran 15 107 0.3× 102 0.4× 74 0.4× 217 1.2× 89 0.8× 83 682
Borui Hou China 8 208 0.6× 166 0.7× 82 0.4× 99 0.5× 48 0.4× 9 484
Lalita Gupta India 7 166 0.5× 79 0.3× 118 0.6× 110 0.6× 23 0.2× 19 375
Mohammad Ali Tinati Iran 14 191 0.5× 161 0.7× 115 0.6× 55 0.3× 95 0.9× 84 773
Rini Smita Thakur India 6 160 0.4× 77 0.3× 108 0.5× 109 0.6× 26 0.2× 8 349
S. Poornachandra India 7 220 0.6× 78 0.3× 96 0.5× 166 0.9× 10 0.1× 26 385
K. Vasanth India 14 107 0.3× 129 0.6× 78 0.4× 228 1.2× 82 0.8× 104 737
S. Satheeskumaran India 8 182 0.5× 113 0.5× 114 0.6× 46 0.2× 45 0.4× 16 381

Countries citing papers authored by M. Bilginer Gülmezoğlu

Since Specialization
Citations

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

Fields of papers citing papers by M. Bilginer Gülmezoğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Bilginer Gülmezoğlu. 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 M. Bilginer Gülmezoğlu. The network helps show where M. Bilginer Gülmezoğlu may publish in the future.

Co-authorship network of co-authors of M. Bilginer Gülmezoğlu

This figure shows the co-authorship network connecting the top 25 collaborators of M. Bilginer Gülmezoğlu. A scholar is included among the top collaborators of M. Bilginer Gülmezoğlu 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 M. Bilginer Gülmezoğlu. M. Bilginer Gülmezoğlu 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.
Gerek, Ömer Nezih, M. Bilginer Gülmezoğlu, Semih Ergi̇n, et al.. (2024). Are deep learning classification results obtained on CT scans fair and interpretable?. Physical and Engineering Sciences in Medicine. 47(3). 967–979. 1 indexed citations
2.
Ergi̇n, Semih, et al.. (2024). Indifference subspace of deep features for lung nodule classification from CT images. Expert Systems with Applications. 262. 125571–125571. 1 indexed citations
3.
Edizkan, Rifat, Atalay Barkana, M. Bilginer Gülmezoğlu, et al.. (2023). Neural network representations for the inter- and intra-class common vector classifiers. Digital Signal Processing. 142. 104205–104205. 1 indexed citations
4.
Ergi̇n, Semih, Şahin Işık, & M. Bilginer Gülmezoğlu. (2021). Face Recognition by Using 2D Orthogonal Subspace Projections. Traitement du signal. 38(1). 51–60. 3 indexed citations
5.
Ergi̇n, Semih, et al.. (2020). Use of gradient and normal vectors for face recognition. IET Image Processing. 14(10). 2121–2129. 2 indexed citations
6.
Gülmezoğlu, M. Bilginer, et al.. (2020). Two Pseudo-Common Vectors for Pattern Recognition. Arabian Journal for Science and Engineering. 45(12). 10621–10635. 1 indexed citations
7.
Gerek, Ömer Nezih, et al.. (2017). A subspace based progressive coding method for speech compression. Speech Communication. 94. 50–61. 7 indexed citations
8.
Gülmezoğlu, M. Bilginer, et al.. (2016). Application of the common vector approach on identification of winter rapeseed (Brassica napus L.) cultivars and their yield characters. International Journal of Sustainable Agricultural Management and Informatics. 2(1). 66–66.
9.
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
10.
Ergi̇n, Semih, et al.. (2012). Detection of Stator, Bearing and Rotor Faults in Induction Motors. Procedia Engineering. 30. 1103–1109. 21 indexed citations
11.
Gülmezoğlu, M. Bilginer, et al.. (2011). Writer identification from handwriting text lines. 9. 133–137. 3 indexed citations
12.
Ergi̇n, Semih, et al.. (2011). DWT-based fault diagnosis in induction motors by using CVA. 3483. 129–132. 5 indexed citations
13.
Gülmezoğlu, M. Bilginer, et al.. (2011). Common vector approach and its combination with GMM for text-independent speaker recognition. Expert Systems with Applications. 38(9). 11394–11400. 10 indexed citations
14.
Ergi̇n, Semih, et al.. (2010). A new implementation of common matrix approach using third-order tensors for face recognition. Expert Systems with Applications. 38(4). 3246–3251. 11 indexed citations
15.
Ergi̇n, Semih & M. Bilginer Gülmezoğlu. (2008). Face Recognition Based on Face Partitions Using Common Vector Approach. 3. 624–628. 1 indexed citations
16.
Gülmezoğlu, M. Bilginer, et al.. (2007). A two stage algorithm for face recognition: 2DPCA and within-class scatter minimization. Journal of Medical Microbiology. 62(Pt 8). 338–342. 1 indexed citations
17.
Gülmezoğlu, M. Bilginer & Semih Ergi̇n. (2007). An approach for bearing fault detection in electrical motors. European Transactions on Electrical Power. 17(6). 628–641. 14 indexed citations
18.
Gülmezoğlu, M. Bilginer, Rifat Edizkan, Semih Ergi̇n, & Atalay Barkana. (2006). Improvements on isolated word recognition using FLDA. 16. 703–706.
19.
Edizkan, Rifat, M. Bilginer Gülmezoğlu, Semih Ergi̇n, & Atalay Barkana. (2005). Improvements on common vector approach for multi class problems. European Signal Processing Conference. 1–4. 4 indexed citations
20.
Gülmezoğlu, M. Bilginer, et al.. (2001). The common vector approach and its relation to principal component analysis. IEEE Transactions on Speech and Audio Processing. 9(6). 655–662. 94 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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