Ömer Karal
Impact in
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- Blind Source Separation Techniques
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
- Neural Networks and Applications
- Machine Learning and ELM
Papers in
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- Anomaly Detection Techniques and Applications 4
- Machine Learning and Data Classification 3
- Imbalanced Data Classification Techniques 3
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- Face and Expression Recognition 6
- Co-authors
- İlyas Çankaya (3 shared papers)Habibe Uslu (1 shared paper)Ş. Altındal (1 shared paper)Serdar Kesikburun (2 shared papers)Josep M. Guerrero (1 shared paper)Cüneyt Güzelіș (1 shared paper)Kamil Çağatay Bayındır (1 shared paper)Ayhan Karaköse (1 shared paper)
- Journals
- Energies (1 paper)Information Sciences (1 paper)Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi (1 paper)Engineering Applications of Artificial Intelligence (1 paper)Knowledge-Based Systems (1 paper)
- Partner nations
- TürkiyeSouth KoreaAntigua and Barbuda
In The Last Decade
Ömer Karal
32 papers receiving 287 citations
Peers
Comparison fields: 5 of 92
- Signal Processing 43
- Artificial Intelligence 123
- Computer Vision and Pattern Recognition 47
- Health Information Management 10
- Statistics and Probability 12
Countries citing papers authored by Ömer Karal
This map shows the geographic impact of Ömer Karal'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 Ömer Karal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ömer Karal more than expected).
Fields of papers citing papers by Ömer Karal
This network shows the impact of papers produced by Ömer Karal. 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 Ömer Karal. The network helps show where Ömer Karal may publish in the future.
Co-authors
The 14 scholars most cited alongside Ömer Karal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 61 | |
| 2 | 2022 | 53 | |
| 3 | 2020 | 37 | |
| 4 | 2021 | 22 | |
| 5 | 2022 | 18 | |
| 6 | 2022 | 11 | |
| 7 | 2022 | 9 | |
| 8 | 2014 | 8 | |
| 9 | 2018 | 8 | |
| 10 | 2020 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2015 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2013 | 4 |
About Ömer Karal
Ömer Karal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Signal Processing and Electrical and Electronic Engineering, having authored 39 papers that have together received 306 indexed citations. Recurring topics across this work include Face and Expression Recognition (6 papers), Anomaly Detection Techniques and Applications (4 papers), Blind Source Separation Techniques (4 papers), Machine Learning and Data Classification (3 papers), ECG Monitoring and Analysis (3 papers), Imbalanced Data Classification Techniques (3 papers), Medical Imaging and Analysis (3 papers) and Radar Systems and Signal Processing (2 papers). The work is most often cited by research in Signal Processing (43 citations), Artificial Intelligence (123 citations), Computer Vision and Pattern Recognition (47 citations), Health Information Management (10 citations) and Statistics and Probability (12 citations). Ömer Karal has collaborated with scholars based in Türkiye, South Korea and Antigua and Barbuda. Frequent co-authors include İlyas Çankaya, Habibe Uslu, Ş. Altındal, Serdar Kesikburun, Josep M. Guerrero, Cüneyt Güzelіș, Kamil Çağatay Bayındır, Ayhan Karaköse, Zeynep Önder and Özgü Aydoğdu. Their work appears in journals such as Energies, Information Sciences, Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, Engineering Applications of Artificial Intelligence and Knowledge-Based Systems.
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.