Heysem Kaya
Impact in
-
- Emotion and Mood Recognition
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
-
- Emotion and Mood Recognition 22
-
- Speech and Audio Processing 12
- Music and Audio Processing 8
- Co-authors
- Albert Ali SalahFurkan GürpınarAlexey KarpovPınar TüfekçiHamdi DibeklioğluBjörn W. SchullerFlorian EybenHüseyin Güleç
- Journals
- IEEE Transactions on Affective Computing (2 papers)Image and Vision Computing (1 paper)Neurocomputing (1 paper)IEEE Signal Processing Letters (1 paper)Archives of Gynecology and Obstetrics (1 paper)
- Partner nations
- TürkiyeNetherlandsRussia
In The Last Decade
Heysem Kaya
58 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 108
- Experimental and Cognitive Psychology 599
- Signal Processing 280
- Computer Vision and Pattern Recognition 397
- Artificial Intelligence 457
- Social Psychology 155
Countries citing papers authored by Heysem Kaya
This map shows the geographic impact of Heysem Kaya'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 Heysem Kaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heysem Kaya more than expected).
Fields of papers citing papers by Heysem Kaya
This network shows the impact of papers produced by Heysem Kaya. 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 Heysem Kaya. The network helps show where Heysem Kaya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Heysem Kaya, 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 | 2025 | 1 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 0 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 22 | |
| 10 | 2022 | 18 | |
| 11 | 2021 | 20 | |
| 12 | 2020 | 63 | |
| 13 | 2020 | 1 | |
| 14 | 2020 | 10 | |
| 15 | 2019 | 13 | |
| 16 | BOUN-NKU in MediaEval 2017 Emotional Impact of Movies Task. | 2017 | 1 |
| 17 | 2017 | 159 | |
| 18 | 2016 | 57 | |
| 19 | 2013 | 4 | |
| 20 | 2000 | 9 |
About Heysem Kaya
Heysem Kaya is a scholar working on Experimental and Cognitive Psychology, Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition and Health Informatics, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (22 papers), Speech and Audio Processing (12 papers), Speech Recognition and Synthesis (12 papers), Face and Expression Recognition (11 papers), Machine Learning and ELM (9 papers), Music and Audio Processing (8 papers), Sentiment Analysis and Opinion Mining (4 papers) and Ethics and Social Impacts of AI (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (599 citations), Signal Processing (280 citations), Computer Vision and Pattern Recognition (397 citations), Artificial Intelligence (457 citations) and Social Psychology (155 citations). Heysem Kaya has collaborated with scholars based in Türkiye, Netherlands and Russia. Frequent co-authors include Albert Ali Salah, Furkan Gürpınar, Alexey Karpov, Pınar Tüfekçi, Hamdi Dibeklioğlu, Björn W. Schuller, Florian Eyben, Hüseyin Güleç, Elvan Çiftçi and Fikret Gürgen. Their work appears in journals such as IEEE Transactions on Affective Computing, Image and Vision Computing, Neurocomputing, IEEE Signal Processing Letters and Archives of Gynecology and Obstetrics.
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.