Arman Savran
Impact in
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- Emotion and Mood Recognition
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- Face and Expression Recognition
- Face recognition and analysis
- Human Pose and Action Recognition
Papers in
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- Face recognition and analysis 13
- Face and Expression Recognition 8
- Medical Image Segmentation Techniques 2
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- Emotion and Mood Recognition 9
- Co-authors
- Bülent Sankur (11 shared papers)Ragini Verma (4 shared papers)Houwei Cao (3 shared papers)Ani Nenkova (3 shared papers)Chiara Bartolozzi (2 shared papers)Ruben C. Gur (1 shared paper)Levent M. Arslan (1 shared paper)Lale Akarun (2 shared papers)
- Journals
- Computer Vision and Image Understanding (2 papers)Image and Vision Computing (1 paper)Computer Speech & Language (1 paper)Signal Processing (1 paper)Pattern Recognition (1 paper)
- Partner nations
- TürkiyeUnited StatesItaly
In The Last Decade
Arman Savran
21 papers receiving 401 citations
Peers
Comparison fields: 5 of 48
- Experimental and Cognitive Psychology 231
- Computer Vision and Pattern Recognition 306
- Signal Processing 88
- Human-Computer Interaction 39
- Cognitive Neuroscience 52
Countries citing papers authored by Arman Savran
This map shows the geographic impact of Arman Savran'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 Arman Savran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arman Savran more than expected).
Fields of papers citing papers by Arman Savran
This network shows the impact of papers produced by Arman Savran. 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 Arman Savran. The network helps show where Arman Savran may publish in the future.
Co-authors
The 15 scholars most cited alongside Arman Savran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 103 | |
| 2 | 2011 | 83 | |
| 3 | 2012 | 44 | |
| 4 | 2014 | 42 | |
| 5 | 2010 | 26 | |
| 6 | 2009 | 22 | |
| 7 | 2017 | 19 | |
| 8 | 2013 | 12 | |
| 9 | 2008 | 12 | |
| 10 | 2020 | 10 | |
| 11 | 2011 | 9 | |
| 12 | 2014 | 8 | |
| 13 | 2006 | 8 | |
| 14 | 3D Face Recognition Performance under Adversarial Conditions | 2007 | 6 |
| 15 | 2018 | 6 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 2 | |
| 18 | 2010 | 1 | |
| 19 | 2009 | 1 | |
| 20 | 2011 | 1 |
About Arman Savran
Arman Savran is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Signal Processing, Cognitive Neuroscience and Computational Mechanics, having authored 22 papers that have together received 420 indexed citations. Recurring topics across this work include Face recognition and analysis (13 papers), Emotion and Mood Recognition (9 papers), Face and Expression Recognition (8 papers), Speech and Audio Processing (5 papers), Color perception and design (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Face Recognition and Perception (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (231 citations), Computer Vision and Pattern Recognition (306 citations), Signal Processing (88 citations), Human-Computer Interaction (39 citations) and Cognitive Neuroscience (52 citations). Arman Savran has collaborated with scholars based in Türkiye, United States and Italy. Frequent co-authors include Bülent Sankur, Ragini Verma, Houwei Cao, Ani Nenkova, Chiara Bartolozzi, Ruben C. Gur, Levent M. Arslan, Lale Akarun, Leonardo Badino and Oya Çeliktutan. Their work appears in journals such as Computer Vision and Image Understanding, Image and Vision Computing, Computer Speech & Language, Signal Processing and Pattern Recognition.
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.