Laura Cabral
Impact in
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- Face Recognition and Perception
- Visual perception and processing mechanisms
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
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- Child and Animal Learning Development
Papers in
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- Face Recognition and Perception 2
- Visual perception and processing mechanisms 1
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- Advanced Neuroimaging Techniques and Applications 2
- Co-authors
- Rhodri Cusack (3 shared papers)Leire Zubiaurre‐Elorza (1 shared paper)Conor J. Wild (1 shared paper)Annika C. Linke (1 shared paper)Jerod M. Rasmussen (2 shared papers)Bobby Stojanoski (1 shared paper)Ashok Panigrahy (3 shared papers)Will Foran (2 shared papers)
- Journals
- Developmental Cognitive Neuroscience (2 papers)Attention Perception & Psychophysics (1 paper)Cerebral Cortex (1 paper)Journal of Experimental Child Psychology (1 paper)Pediatric Research (1 paper)
- Partner nations
- United StatesCanadaIreland
In The Last Decade
Laura Cabral
6 papers receiving 51 citations
Peers
Comparison fields: 5 of 42
- Cognitive Neuroscience 23
- Developmental and Educational Psychology 14
- Pharmacy 3
- Computer Science Applications 3
- General Decision Sciences 1
Countries citing papers authored by Laura Cabral
This map shows the geographic impact of Laura Cabral'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 Laura Cabral with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Cabral more than expected).
Fields of papers citing papers by Laura Cabral
This network shows the impact of papers produced by Laura Cabral. 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 Laura Cabral. The network helps show where Laura Cabral may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura Cabral, 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 | 2017 | 27 | |
| 2 | 2022 | 13 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 2 | |
| 6 | 2020 | 2 |
About Laura Cabral
Laura Cabral is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Genetics, Social Psychology and Pediatrics, Perinatology and Child Health, having authored 6 papers that have together received 51 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (2 papers), Face Recognition and Perception (2 papers), Evolutionary Psychology and Human Behavior (1 paper), Visual perception and processing mechanisms (1 paper), Hemoglobinopathies and Related Disorders (1 paper), Multisensory perception and integration (1 paper), Iron Metabolism and Disorders (1 paper) and Neonatal and fetal brain pathology (1 paper). The work is most often cited by research in Cognitive Neuroscience (23 citations), Developmental and Educational Psychology (14 citations), Pharmacy (3 citations), Computer Science Applications (3 citations) and General Decision Sciences (1 citation). Laura Cabral has collaborated with scholars based in United States, Canada and Ireland. Frequent co-authors include Rhodri Cusack, Leire Zubiaurre‐Elorza, Conor J. Wild, Annika C. Linke, Jerod M. Rasmussen, Bobby Stojanoski, Ashok Panigrahy, Will Foran, Beatríz Luna and Finnegan J. Calabro. Their work appears in journals such as Developmental Cognitive Neuroscience, Attention Perception & Psychophysics, Cerebral Cortex, Journal of Experimental Child Psychology and Pediatric Research.
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.