Olcay Kurşun
- Signal Processing top 2%
- Physiology top 5%
- Voice and Speech Disorders 4
- Neurology top 5%
- Artificial Intelligence top 5%
- Neural Networks and Applications 8
- Speech and Hearing top 5%
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- Face and Expression Recognition 12
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- Machine Learning in Bioinformatics 6
- Gene expression and cancer classification 6
- Fractal and DNA sequence analysis 4
- RNA and protein synthesis mechanisms 4
- Bioinformatics and Genomic Networks 4
- Co-authors
- C. Okan SakarFikret GürgenM. Erdem IsenkulAhmet SertbaşOleg V. FavorovBetül Erdoğdu ŞakarŞakir DelilHülya Apaydın
- Cited by
- Signal ProcessingPhysiologyNeurology
- Partner nations
- TürkiyeUnited StatesUnited Kingdom
In The Last Decade
Olcay Kurşun
51 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Signal Processing 307
- Physiology 505
- Neurology 223
- Artificial Intelligence 390
- Speech and Hearing 78
Countries citing papers authored by Olcay Kurşun
This map shows the geographic impact of Olcay Kurşun'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 Olcay Kurşun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olcay Kurşun more than expected).
Fields of papers citing papers by Olcay Kurşun
This network shows the impact of papers produced by Olcay Kurşun. 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 Olcay Kurşun. The network helps show where Olcay Kurşun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Olcay Kurşun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2020 | 18 | |
| 8 | SVM-Based Analysis of NMR Spectra in Metabolomics: Development of Procedures | 2019 | 1 |
| 9 | 2015 | 7 | |
| 10 | 2014 | 135 | |
| 11 | 2014 | 20 | |
| 12 | 2012 | 12 | |
| 13 | 2012 | 7 | |
| 14 | 2012 | 12 | |
| 15 | 2010 | 2 | |
| 16 | 2009 | 158 | |
| 17 | A Generalization of Shannon's Mutual Information for Improved Feature Selection in Databases Involving Possibly Rare but Well-Predictable Classes. | 2008 | 1 |
| 18 | 2008 | 5 | |
| 19 | 2004 | 7 | |
| 20 | SINGLE-FRAME SUPER-RESOLUTION BY INFERENCE FROM LEARNED FEATURES | 2003 | 4 |
About Olcay Kurşun
Olcay Kurşun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include Face and Expression Recognition (12 papers), Neural Networks and Applications (8 papers), Machine Learning in Bioinformatics (6 papers), Gene expression and cancer classification (6 papers), Fractal and DNA sequence analysis (4 papers), RNA and protein synthesis mechanisms (4 papers), Voice and Speech Disorders (4 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Signal Processing (307 citations), Physiology (505 citations) and Neurology (223 citations). Olcay Kurşun has collaborated with scholars based in Türkiye, United States and United Kingdom. Frequent co-authors include C. Okan Sakar, Fikret Gürgen, M. Erdem Isenkul, Ahmet Sertbaş, Oleg V. Favorov, Betül Erdoğdu Şakar, Şakir Delil, Hülya Apaydın, Kevin M. Weeks and Christopher A. Lavender.
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.