M. Bilginer Gülmezoğlu
- Cardiology and Cardiovascular Medicine top 5%
- Cognitive Neuroscience top 10%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Co-authors
- Semih Ergi̇nSerkan GünalAlper Kürşat UysalEfnan Şora GünalSelcan Kaplan BerkayaAtalay BarkanaRifat EdizkanÖmer Nezih Gerek
- Topics
- Face and Expression Recognition (12 papers)Fault Detection and Control Systems (4 papers)Blind Source Separation Techniques (4 papers)
- Journals
- Expert Systems with ApplicationsJournal of Medical MicrobiologyIEEE Transactions on Speech and Audio Processing
- Partner nations
- Türkiye
In The Last Decade
M. Bilginer Gülmezoğlu
25 papers receiving 705 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Cardiology and Cardiovascular Medicine 362
- Cognitive Neuroscience 233
- Biomedical Engineering 201
- Computer Vision and Pattern Recognition 186
- Artificial Intelligence 109
Countries citing papers authored by M. Bilginer Gülmezoğlu
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | A survey on ECG analysisbreakdown → | 397 |
| 8 | 0 | |
| 9 | 30 | |
| 10 | 21 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 10 | |
| 14 | 11 | |
| 15 | 1 | |
| 16 | 14 | |
| 17 | 0 | |
| 18 | Improvements on common vector approach for multi class problems | 4 |
| 19 | 94 | |
| 20 | 76 |
About M. Bilginer Gülmezoğlu
M. Bilginer Gülmezoğlu is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Signal Processing, having authored 29 papers that have together received 734 indexed citations. Recurring topics across this work include Face and Expression Recognition (12 papers), Fault Detection and Control Systems (4 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Computational Mathematics (11 citations), Cardiology and Cardiovascular Medicine (362 citations) and Cognitive Neuroscience (233 citations). M. Bilginer Gülmezoğlu has collaborated with scholars based in Türkiye. Frequent co-authors include Semih Ergi̇n, Serkan Günal, Alper Kürşat Uysal, Efnan Şora Günal, Selcan Kaplan Berkaya, Atalay Barkana, Rifat Edizkan, Ömer Nezih Gerek, Şahin Işık and Cüneyt Çalışır. Their work appears in journals such as Expert Systems with Applications, Journal of Medical Microbiology and IEEE Transactions on Speech and Audio Processing.
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.