Gizelle Anzures
- Cognitive Neuroscience top 2%
- Experimental and Cognitive Psychology top 2%
- Computer Vision and Pattern Recognition top 5%
- Social Psychology top 10%
- Developmental and Educational Psychology top 5%
- Co-authors
- Paul C. QuinnOlivier PascalisKang LeeAlan SlaterJames W. TanakaMichelle Heron‐DelaneyCatherine J. MondlochFrank Haist
- Topics
- Face Recognition and Perception (24 papers)Evolutionary Psychology and Human Behavior (19 papers)Face recognition and analysis (8 papers)
- Cited by
- Experimental and Cognitive PsychologyCognitive NeuroscienceDevelopmental and Educational Psychology
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Gizelle Anzures
25 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 64
- Cognitive Neuroscience 838
- Experimental and Cognitive Psychology 636
- Computer Vision and Pattern Recognition 236
- Social Psychology 164
- Developmental and Educational Psychology 163
Countries citing papers authored by Gizelle Anzures
This map shows the geographic impact of Gizelle Anzures'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 Gizelle Anzures with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gizelle Anzures more than expected).
Fields of papers citing papers by Gizelle Anzures
This network shows the impact of papers produced by Gizelle Anzures. 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 Gizelle Anzures. The network helps show where Gizelle Anzures may publish in the future.
Co-authorship network of co-authors of Gizelle Anzures
This figure shows the co-authorship network connecting the top 25 collaborators of Gizelle Anzures. A scholar is included among the top collaborators of Gizelle Anzures based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gizelle Anzures. Gizelle Anzures is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 13 | |
| 4 | 6 | |
| 5 | 33 | |
| 6 | 99 | |
| 7 | 20 | |
| 8 | 43 | |
| 9 | 49 | |
| 10 | 20 | |
| 11 | 16 | |
| 12 | 122 | |
| 13 | 98 | |
| 14 | 1 | |
| 15 | 71 | |
| 16 | 46 | |
| 17 | 17 | |
| 18 | 110 | |
| 19 | 47 | |
| 20 | 48 |
About Gizelle Anzures
Gizelle Anzures is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Face Recognition and Perception (24 papers), Evolutionary Psychology and Human Behavior (19 papers) and Face recognition and analysis (8 papers). The work is most often cited by research in Experimental and Cognitive Psychology (636 citations), Cognitive Neuroscience (838 citations) and Developmental and Educational Psychology (163 citations). Gizelle Anzures has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Paul C. Quinn, Olivier Pascalis, Kang Lee, Alan Slater, James W. Tanaka, Michelle Heron‐Delaney, Kang Lee, Catherine J. Mondloch, Frank Haist and Christine L. Lackner. Their work appears in journals such as PLoS ONE, Child Development and Developmental Psychology.
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.