Değer Ayata
Impact in
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- Emotion and Mood Recognition
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
Papers in
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- Emotion and Mood Recognition 5
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- Sentiment Analysis and Opinion Mining 3
- Advanced Text Analysis Techniques 2
- Topic Modeling 2
- Co-authors
- Yusuf Yaslan (6 shared papers)Mustafa E. Kamaşak (5 shared papers)Murat Saraçlar (3 shared papers)Arzucan Özgür (3 shared papers)
- Journals
- IEEE Transactions on Consumer Electronics (1 paper)Journal of Medical and Biological Engineering (1 paper)DergiPark (Istanbul University) (1 paper)Istanbul Technical University Academic Open Archive (Istanbul Technical University) (3 papers)
- Partner nations
- Türkiye
In The Last Decade
Değer Ayata
10 papers receiving 421 citations
Peers
Comparison fields: 5 of 67
- Experimental and Cognitive Psychology 212
- Cognitive Neuroscience 178
- Signal Processing 79
- Human-Computer Interaction 25
- Computer Vision and Pattern Recognition 86
Countries citing papers authored by Değer Ayata
This map shows the geographic impact of Değer Ayata'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 Değer Ayata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Değer Ayata more than expected).
Fields of papers citing papers by Değer Ayata
This network shows the impact of papers produced by Değer Ayata. 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 Değer Ayata. The network helps show where Değer Ayata may publish in the future.
Co-authors
The 4 scholars most cited alongside Değer Ayata, 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 | 2018 | 177 | |
| 2 | 2020 | 120 | |
| 3 | Emotion Recognition via Galvanic Skin Response: Comparison of Machine Learning Algorithms and Feature Extraction Methods | 2017 | 42 |
| 4 | 2016 | 38 | |
| 5 | 2017 | 26 | |
| 6 | 2017 | 13 | |
| 7 | 2017 | 11 | |
| 8 | 2017 | 8 | |
| 9 | 2018 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 0 |
About Değer Ayata
Değer Ayata is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence, Cognitive Neuroscience, Social Psychology and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 439 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (5 papers), EEG and Brain-Computer Interfaces (3 papers), Sentiment Analysis and Opinion Mining (3 papers), Advanced Text Analysis Techniques (2 papers), Color perception and design (2 papers), Topic Modeling (2 papers), Speech and Audio Processing (1 paper) and Face and Expression Recognition (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (212 citations), Cognitive Neuroscience (178 citations), Signal Processing (79 citations), Human-Computer Interaction (25 citations) and Computer Vision and Pattern Recognition (86 citations). Değer Ayata has collaborated with scholars based in Türkiye. Frequent co-authors include Yusuf Yaslan, Mustafa E. Kamaşak, Murat Saraçlar and Arzucan Özgür. Their work appears in journals such as IEEE Transactions on Consumer Electronics, Journal of Medical and Biological Engineering, DergiPark (Istanbul University) and Istanbul Technical University Academic Open Archive (Istanbul Technical University).
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.