Zakia Hammal
Impact in
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- Emotion and Mood Recognition
- Mental Health Research Topics
- Applied Psychology top 5%
- Digital Mental Health Interventions
Papers in
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- Emotion and Mood Recognition 23
- Mental Health Research Topics 6
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- Face Recognition and Perception 8
- Co-authors
- Jeffrey F. Cohn (23 shared papers)Hamdi Dibeklioğlu (3 shared papers)Mohammad H. Mahoor (2 shared papers)Jeffrey M. Girard (2 shared papers)S. Mohammad Mavadati (1 shared paper)Miriam Kunz (2 shared papers)Daniel S. Messinger (5 shared papers)Ying Yang (2 shared papers)
- Journals
- Journal of Vision (4 papers)IEEE Transactions on Affective Computing (3 papers)International Journal of Approximate Reasoning (1 paper)Image and Vision Computing (1 paper)Information Sciences (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Zakia Hammal
49 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 114
- Experimental and Cognitive Psychology 609
- Applied Psychology 103
- Cognitive Neuroscience 349
- Pharmacy 79
- Computer Vision and Pattern Recognition 289
Countries citing papers authored by Zakia Hammal
This map shows the geographic impact of Zakia Hammal'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 Zakia Hammal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zakia Hammal more than expected).
Fields of papers citing papers by Zakia Hammal
This network shows the impact of papers produced by Zakia Hammal. 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 Zakia Hammal. The network helps show where Zakia Hammal may publish in the future.
Co-authors
The 25 scholars most cited alongside Zakia Hammal, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 185 | |
| 2 | 2017 | 128 | |
| 3 | 2012 | 118 | |
| 4 | 2018 | 66 | |
| 5 | 2015 | 61 | |
| 6 | 2015 | 54 | |
| 7 | 2007 | 53 | |
| 8 | 2011 | 53 | |
| 9 | 2015 | 39 | |
| 10 | 2018 | 38 | |
| 11 | 2014 | 33 | |
| 12 | 2014 | 28 | |
| 13 | 2017 | 27 | |
| 14 | 2005 | 22 | |
| 15 | 2019 | 22 | |
| 16 | 2020 | 20 | |
| 17 | 2008 | 13 | |
| 18 | 2018 | 12 | |
| 19 | 2009 | 12 | |
| 20 | 2014 | 12 |
About Zakia Hammal
Zakia Hammal is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Pharmacology and Physiology, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (23 papers), Musculoskeletal pain and rehabilitation (11 papers), Pain Mechanisms and Treatments (10 papers), Face recognition and analysis (9 papers), Face Recognition and Perception (8 papers), Face and Expression Recognition (7 papers), Mental Health Research Topics (6 papers) and Infant Health and Development (5 papers). The work is most often cited by research in Experimental and Cognitive Psychology (609 citations), Applied Psychology (103 citations), Cognitive Neuroscience (349 citations), Pharmacy (79 citations) and Computer Vision and Pattern Recognition (289 citations). Zakia Hammal has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Jeffrey F. Cohn, Hamdi Dibeklioğlu, Mohammad H. Mahoor, Jeffrey M. Girard, S. Mohammad Mavadati, Miriam Kunz, Daniel S. Messinger, Ying Yang, Alice Caplier and Michèle Rombaut. Their work appears in journals such as Journal of Vision, IEEE Transactions on Affective Computing, International Journal of Approximate Reasoning, Image and Vision Computing and Information Sciences.
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.