Değer Ayata
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- Emotion and Mood Recognition 5
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces 3
- Neural dynamics and brain function 1
- Signal Processing top 10%
- Human-Computer Interaction top 10%
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- Sentiment Analysis and Opinion Mining 3
- Topic Modeling 2
- Advanced Text Analysis Techniques 2
- Neural Networks and Applications 1
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- Color perception and design 2
- Journals
- IEEE Transactions on Consumer Electronics (1 paper)Journal of Medical and Biological Engineering (1 paper)DergiPark (Istanbul University) (1 paper)
- 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-authorship network
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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2020 | 120 | |
| 4 | 2018 | 177 | |
| 5 | 2018 | 3 | |
| 6 | 2017 | 11 | |
| 7 | 2017 | 13 | |
| 8 | 2017 | 26 | |
| 9 | Emotion Recognition via Galvanic Skin Response: Comparison of Machine Learning Algorithms and Feature Extraction Methods | 2017 | 42 |
| 10 | 2017 | 8 | |
| 11 | 2016 | 38 |
About Değer Ayata
Değer Ayata is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Artificial Intelligence, Marketing and Social Psychology, 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), Topic Modeling (2 papers), Advanced Text Analysis Techniques (2 papers), Color perception and design (2 papers), Neural dynamics and brain function (1 paper) and Neural Networks and Applications (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, Arzucan Özgür and Murat Saraçlar. 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.