Roberto Sánchez-Reolid

22 papers receiving 307 citations

Peers

Roberto Sánchez-Reolid
Comparison fields: 5 of 88
  • Cognitive Neuroscience 104
  • Industrial and Manufacturing Engineering 90
  • Experimental and Cognitive Psychology 71
  • Electrical and Electronic Engineering 61
  • Computer Vision and Pattern Recognition 50
Replace Yoshiyuki Satō with:
Yoshiyuki Satō Japan
Jac Fredo Agastinose Ronickom India
Marco Del Coco Italy
Heng Zhou China
Çağlar Uyulan Türkiye
Xiaowei Zheng China
José A. Jiménez Spain
Dongkoo Shon South Korea
Yeou‐Jiunn Chen Taiwan
Roberto Sánchez-Reolid relative to Yoshiyuki Satō Japan Yoshiyuki Satō's profile →
Citations per field
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Yoshiyuki Satō · 1×
Citations per year

Countries citing papers authored by Roberto Sánchez-Reolid

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Sánchez-Reolid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Sánchez-Reolid. 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 Roberto Sánchez-Reolid. The network helps show where Roberto Sánchez-Reolid may publish in the future.

Co-authorship network of co-authors of Roberto Sánchez-Reolid

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Sánchez-Reolid. A scholar is included among the top collaborators of Roberto Sánchez-Reolid 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 Roberto Sánchez-Reolid. Roberto Sánchez-Reolid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
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5 0
6 5
7 8
8 1
9 23
10 55
11 3
12 15
13 26
14 35
15 4
16 14
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18 4
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20 32

About Roberto Sánchez-Reolid

Roberto Sánchez-Reolid is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Neuropsychology and Physiological Psychology, having authored 25 papers that have together received 326 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Emotion and Mood Recognition (7 papers) and Industrial Vision Systems and Defect Detection (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (90 citations), Experimental and Cognitive Psychology (71 citations) and Cognitive Neuroscience (104 citations). Roberto Sánchez-Reolid has collaborated with scholars based in Spain, United States and Netherlands. Frequent co-authors include Antonio Fernández‐Caballero, Rafael Morales, Marı́a Teresa López, Arturo Martínez‐Rodrigo, José Miguel Latorre, Arturo S. García, Alicia Fernández-Sotos, Pascual González, Laura Ros and Beatriz García-Martínez. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.

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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