José L. Pardo‐Vázquez

477 citations
23 papers · 284 indexed · h-index 11

José L. Pardo‐Vázquez

23 papers receiving 280 citations

Peers

José L. Pardo‐Vázquez
Comparison fields: 5 of 73
  • Cognitive Neuroscience 181
  • Sensory Systems 45
  • General Decision Sciences 10
  • Endocrine and Autonomic Systems 20
  • Social Psychology 49
Replace Marcelo S. Caetano with:
Marcelo S. Caetano Brazil
Hong Yuan China
Lotje van der Linden France
Leonhard Waschke Germany
Kinjan Parikh United States
Olympia Colizoli Netherlands
Eleonora Russo Germany
Anke Braun Germany
Alexia Bourgeois Switzerland
Claudio Lavín Chile
José L. Pardo‐Vázquez relative to Marcelo S. Caetano Brazil Marcelo S. Caetano's profile →
Citations per field
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Citations per year

Countries citing papers authored by José L. Pardo‐Vázquez

Since Specialization
Citations

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

Fields of papers citing papers by José L. Pardo‐Vázquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José L. Pardo‐Vázquez. 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 José L. Pardo‐Vázquez. The network helps show where José L. Pardo‐Vázquez may publish in the future.

Co-authorship network

The 25 scholars most cited alongside José L. Pardo‐Vázquez, 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 José L. Pardo‐Vázquez Line = papers co-authored together José L. Pardo‐Vázquez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20231
3 202210
4 20214
5 201945
6 201912
7 201853
8 201611
9 20153
10 20143
11 20129
12 20127
13 20115
14 20112
15 201014
16 20092
17 200844
18 200813
19
Sesgos de procesamiento de información emocional en individuos sociotrópicos
20041
20 200311

About José L. Pardo‐Vázquez

José L. Pardo‐Vázquez is a scholar working on Cognitive Neuroscience, Sensory Systems, General Decision Sciences, Experimental and Cognitive Psychology and Behavioral Neuroscience, having authored 23 papers that have together received 284 indexed citations. Recurring topics across this work include Neural dynamics and brain function (11 papers), Neural and Behavioral Psychology Studies (11 papers), EEG and Brain-Computer Interfaces (4 papers), Visual perception and processing mechanisms (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Memory and Neural Mechanisms (3 papers), Cognitive Science and Mapping (3 papers) and Motor Control and Adaptation (2 papers). The work is most often cited by research in Cognitive Neuroscience (181 citations), Sensory Systems (45 citations), General Decision Sciences (10 citations), Endocrine and Autonomic Systems (20 citations) and Social Psychology (49 citations). José L. Pardo‐Vázquez has collaborated with scholars based in Spain, Portugal and Belgium. Frequent co-authors include Carlos Acuña, Víctor Leborán, Alfonso Renart, Rosalı́a Gallego, Félix Viana, Vı́ctor M. Arce, Carlos Fernández‐Peña, Rosa Señarı́s, M. Inês Vicente and Guillermo García. Their work appears in journals such as Journal of Neuroscience, Proceedings of the National Academy of Sciences, Experimental Neurology, Neuroscience and European Journal of Neuroscience.

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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