Timur Almaev
Impact in
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- Emotion and Mood Recognition
- Mental Health Research Topics
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- Face recognition and analysis
- Face and Expression Recognition
Papers in
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- Face and Expression Recognition 5
- Face recognition and analysis 4
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- Emotion and Mood Recognition 5
- Mental Health Research Topics 1
- Co-authors
- Michel Valstar (6 shared papers)Maja Pantić (2 shared papers)Kirsty Smith (1 shared paper)Jarek Krajewski (1 shared paper)Björn W. Schuller (1 shared paper)Florian Eyben (1 shared paper)Roddy Cowie (1 shared paper)Jeffrey F. Cohn (1 shared paper)
- Journals
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)Repository@Nottingham (University of Nottingham) (1 paper)OPUS (Augsburg University) (1 paper)Research Portal (Queen's University Belfast) (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Timur Almaev
7 papers receiving 732 citations
Peers
Comparison fields: 5 of 59
- Experimental and Cognitive Psychology 559
- Computer Vision and Pattern Recognition 408
- Signal Processing 126
- Applied Psychology 42
- Social Psychology 140
Countries citing papers authored by Timur Almaev
This map shows the geographic impact of Timur Almaev'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 Timur Almaev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timur Almaev more than expected).
Fields of papers citing papers by Timur Almaev
This network shows the impact of papers produced by Timur Almaev. 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 Timur Almaev. The network helps show where Timur Almaev may publish in the future.
Co-authors
The 16 scholars most cited alongside Timur Almaev, 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 | 2014 | 325 | |
| 2 | 2015 | 180 | |
| 3 | 2013 | 145 | |
| 4 | 2016 | 59 | |
| 5 | 2015 | 32 | |
| 6 | 2013 | 16 | |
| 7 | 2013 | 10 |
About Timur Almaev
Timur Almaev is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Signal Processing, Artificial Intelligence and Cognitive Neuroscience, having authored 7 papers that have together received 767 indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), Emotion and Mood Recognition (5 papers), Face recognition and analysis (4 papers), Domain Adaptation and Few-Shot Learning (2 papers), Gaze Tracking and Assistive Technology (1 paper), Speech and Audio Processing (1 paper), Mental Health Research Topics (1 paper) and Biometric Identification and Security (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (559 citations), Computer Vision and Pattern Recognition (408 citations), Signal Processing (126 citations), Applied Psychology (42 citations) and Social Psychology (140 citations). Timur Almaev has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Michel Valstar, Maja Pantić, Kirsty Smith, Jarek Krajewski, Björn W. Schuller, Florian Eyben, Roddy Cowie, Jeffrey F. Cohn, Jeffrey M. Girard and Lijun Yin. Their work appears in journals such as Infoscience (Ecole Polytechnique Fédérale de Lausanne), Repository@Nottingham (University of Nottingham), OPUS (Augsburg University) and Research Portal (Queen's University Belfast).
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.