Kaya Oğuz

1.2k citations
35 papers · 830 indexed · 1 hit paper · h-index 12

Kaya Oğuz

31 papers receiving 788 citations

Hit Papers

Speech emotion recognition: Emotional models, databases, ...4392019202620212023100200300400

Peers

Kaya Oğuz
Comparison fields: 5 of 121
  • Experimental and Cognitive Psychology 370
  • Signal Processing 253
  • Artificial Intelligence 214
  • Cognitive Neuroscience 123
  • Radiological and Ultrasound Technology 30
Replace Michael Gasser with:
Michael Gasser United States
Tobias Baur Germany
Michael K. Keutmann United States
Hugues Salamin United Kingdom
Keelan Evanini United States
Christopher Cieri United States
Tim Genewein Germany
Vikram Ramanarayanan United States
Mireia Farrús Spain
Anders Eriksson Sweden
Kaya Oğuz relative to Michael Gasser United States Michael Gasser's profile →
Citations per field
00.5×5.8×
Michael Gasser · 1×
Citations per year

Countries citing papers authored by Kaya Oğuz

Since Specialization
Citations

This map shows the geographic impact of Kaya Oğuz'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 Kaya Oğuz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaya Oğuz more than expected).

Fields of papers citing papers by Kaya Oğuz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaya Oğuz. 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 Kaya Oğuz. The network helps show where Kaya Oğuz may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Kaya Oğuz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kaya Oğuz Line = papers co-authored together Kaya Oğuz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20241
4 20242
5 202316
6 20223
7 202119
8 20192
9
Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiersbreakdown →
2019439
10 20185
11 20182
12 201713
13 20171
14 201721
15 201617
16 201226
17 201271
18 20091
19
A Comparison of Neural Networks for Real-Time Emotion Recognition from Speech Signals
20092
20 200844

About Kaya Oğuz

Kaya Oğuz is a scholar working on Experimental and Cognitive Psychology, Psychiatry and Mental health and Cognitive Neuroscience, having authored 35 papers that have together received 830 indexed citations. Recurring topics across this work include Bipolar Disorder and Treatment (6 papers), Emotion and Mood Recognition (5 papers), Functional Brain Connectivity Studies (5 papers), Mental Health Research Topics (3 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers), Neural Networks and Applications (3 papers), Psychosomatic Disorders and Their Treatments (2 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (370 citations), Signal Processing (253 citations) and Artificial Intelligence (214 citations). Kaya Oğuz has collaborated with scholars based in Türkiye, United States and Cyprus. Frequent co-authors include T. Karalı, Ali Saffet Gönül, Melis Gökçe, M. Prokić, Kerry L. Coburn, Ömer Kitiş, Osman Doluca, Çağdaş Eker, Damla İşman Haznedaroğlu and Mahmoud A. A. Aslani. Their work appears in journals such as Journal of Affective Disorders, Progress in Neuro-Psychopharmacology and Biological Psychiatry, Information Sciences, Engineering Applications of Artificial Intelligence and Speech Communication.

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.

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