Oya Aran

77 papers receiving 1.4k citations

Peers

Oya Aran
Comparison fields: 5 of 77
  • Human-Computer Interaction 333
  • Experimental and Cognitive Psychology 424
  • Social Psychology 330
  • Computer Vision and Pattern Recognition 256
  • Artificial Intelligence 362
Replace Yukiko Nakano with:
Yukiko Nakano Japan
Tobias Baur Germany
Michael Kipp Germany
Dinesh Babu Jayagopi India
Zoraida Callejas Spain
George Caridakis Greece
Gokul T. Chittaranjan Switzerland
Patrick Gebhard Germany
Berardina Nadja De Carolis Italy
Tim Paek United States
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Citations per field
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Citations per year

Countries citing papers authored by Oya Aran

Since Specialization
Citations

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

Fields of papers citing papers by Oya Aran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Oya Aran, 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 Oya Aran Line = papers co-authored together Oya Aran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011163
2 201681
3 201378
4 201276
5 201666
6 200950
7 201045
8 201545
9 200944
10 201344
11 200837
12 202236
13 200834
14 200631
15 201631
16 200730
17 201430
18 201029
19
An Audio Visual Corpus for Emergent Leader Analysis
201128
20 201328

About Oya Aran

Oya Aran is a scholar working on Human-Computer Interaction, Experimental and Cognitive Psychology, Signal Processing, Language and Linguistics and Artificial Intelligence, having authored 77 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (32 papers), Emotion and Mood Recognition (20 papers), Language, Discourse, Communication Strategies (8 papers), Speech and Audio Processing (8 papers), Speech and dialogue systems (8 papers), Team Dynamics and Performance (7 papers), Personality Traits and Psychology (4 papers) and Context-Aware Activity Recognition Systems (4 papers). The work is most often cited by research in Human-Computer Interaction (333 citations), Experimental and Cognitive Psychology (424 citations), Social Psychology (330 citations), Computer Vision and Pattern Recognition (256 citations) and Artificial Intelligence (362 citations). Oya Aran has collaborated with scholars based in Türkiye, Switzerland and France. Frequent co-authors include Daniel Gática-Pérez, Lale Akarun, Dairazalia Sánchez-Cortés, Marianne Schmid Mast, Alice Caplier, Thomas Bürger, Dinesh Babu Jayagopi, Shogo Okada, Joan-Isaac Biel and Hayley Hung. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Multimedia, Pattern Recognition, PeerJ and IEEE Transactions on Affective Computing.

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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