Lorena Santamaria

573 citations
17 papers · 352 · h-index 7

Impact in

Papers in

Lorena Santamaria

16 papers receiving 343 citations

Peers

Lorena Santamaria
Comparison fields: 5 of 55
  • Cognitive Neuroscience 225
  • Experimental and Cognitive Psychology 83
  • Social Psychology 86
  • Developmental and Educational Psychology 39
  • Pharmacy 14
Replace Goh Matsuda with:
Goh Matsuda Japan
Barbara Manini Italy
Ralph Pawling United Kingdom
Tommi Makkonen Finland
Joshua J. Foster United States
Angelika Köchel Austria
Adriana S. Méndez Leal United States
Ezgi Kayhan Germany
Rocco Mennella France
Ranjan Debnath United States
Lorena Santamaria relative to Goh Matsuda Japan Goh Matsuda's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lorena Santamaria

Since Specialization
Citations

This map shows the geographic impact of Lorena Santamaria'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 Lorena Santamaria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorena Santamaria more than expected).

Fields of papers citing papers by Lorena Santamaria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lorena Santamaria. 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 Lorena Santamaria. The network helps show where Lorena Santamaria may publish in the future.

Co-authors

The 25 scholars most cited alongside Lorena Santamaria, 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 Lorena Santamaria Line = papers co-authored together Lorena Santamaria links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201889
2 201985
3 201681
4 201842
5 202312
6 201812
7 201610
8 20245
9 20224
10 20242
11 20202
12 20192
13 20162
14 20112
15
The effect of training on horizontal saccades and smooth pursuit eye movements
20031
16 20231
17 20230

About Lorena Santamaria

Lorena Santamaria is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Developmental and Educational Psychology, Pathology and Forensic Medicine and Neurology, having authored 17 papers that have together received 352 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (10 papers), Neural dynamics and brain function (8 papers), Functional Brain Connectivity Studies (7 papers), Sleep and Wakefulness Research (5 papers), Sleep and related disorders (2 papers), Behavioral and Psychological Studies (1 paper), Cerebrovascular and Carotid Artery Diseases (1 paper) and Mental Health Research Topics (1 paper). The work is most often cited by research in Cognitive Neuroscience (225 citations), Experimental and Cognitive Psychology (83 citations), Social Psychology (86 citations), Developmental and Educational Psychology (39 citations) and Pharmacy (14 citations). Lorena Santamaria has collaborated with scholars based in United Kingdom, Singapore and Chile. Frequent co-authors include Victoria Leong, Kaili Clackson, Valdas Noreika, Stanimira Georgieva, Sam Wass, Paolo Melillo, Rossana Castaldo, Leandro Pecchia, Wei Xu and Christopher J. James. Their work appears in journals such as NeuroImage, Cerebral Cortex, PLoS Biology, Journal of Neuroscience and Communications Biology.

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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