Zakia Hammal

1.9k citations
60 papers · 1.4k · h-index 18

Impact in

Papers in

Zakia Hammal

59 papers receiving 1.3k citations

Peers

Zakia Hammal
Comparison fields: 5 of 111
  • Experimental and Cognitive Psychology 710
  • Cognitive Neuroscience 383
  • Computer Vision and Pattern Recognition 398
  • Applied Psychology 81
  • Pharmacy 73
Replace Harald C. Traue with:
Harald C. Traue Germany
Sharifa Alghowinem United States
Andrea Kleinsmith United States
Ognjen Oggi Rudovic United Kingdom
Giorgos A. Giannakakis Greece
Jeffrey M. Girard United States
Sebastian Schnieder Germany
S. Mohammad Mavadati United States
Emily Mower Provost United States
Bihan Jiang United Kingdom
Zakia Hammal relative to Harald C. Traue Germany Harald C. Traue's profile →
Citations per field
00.5×2×2.6×
Harald C. Traue · 1×
Citations per year

Countries citing papers authored by Zakia Hammal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013205
2 2017155
3 2012147
4 201579
5 201869
6 201566
7 201161
8 200759
9 201545
10 201437
11 201431
12 201728
13 200528
14 201927
15 201926
16 202022
17 200520
18 201818
19 201515
20 201415

About Zakia Hammal

Zakia Hammal is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Pharmacology and Social Psychology, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (30 papers), Face and Expression Recognition (12 papers), Face recognition and analysis (12 papers), Pain Mechanisms and Treatments (10 papers), Face Recognition and Perception (10 papers), Musculoskeletal pain and rehabilitation (10 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 (710 citations), Cognitive Neuroscience (383 citations), Computer Vision and Pattern Recognition (398 citations), Applied Psychology (81 citations) and Pharmacy (73 citations). Zakia Hammal has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Jeffrey F. Cohn, Hamdi Dibeklioğlu, Jeffrey M. Girard, Mohammad H. Mahoor, Alice Caplier, S. Mohammad Mavadati, Miriam Kunz, Daniel Solomon Messinger, Michèle Rombaut and Ying Yang. Their work appears in journals such as Journal of Vision, IEEE Transactions on Affective Computing, Cognitive Computation, Multivariate Behavioral Research 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.

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