Nicolas A. Barriga

511 citations
25 papers · 265 indexed · h-index 10

Nicolas A. Barriga

22 papers receiving 250 citations

Peers

Nicolas A. Barriga
Comparison fields: 5 of 63
  • Artificial Intelligence 198
  • Developmental and Educational Psychology 37
  • Computer Vision and Pattern Recognition 57
  • Sociology and Political Science 80
  • Instrumentation 6
Replace Robin Baumgarten with:
Robin Baumgarten United Kingdom
Tommy Thompson United Kingdom
Arpad Rimmel France
Marius Stănescu Canada
Andy Nealen United States
Vanessa Volz Germany
Ben Weber United States
Hilmar Finnsson Iceland
Broderick Arneson Canada
Ian Frank Japan
Nicolas A. Barriga relative to Robin Baumgarten United Kingdom Robin Baumgarten's profile →
Citations per field
00.5×4.3×
Robin Baumgarten · 1×
Citations per year

Countries citing papers authored by Nicolas A. Barriga

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas A. Barriga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolas A. Barriga. 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 Nicolas A. Barriga. The network helps show where Nicolas A. Barriga may publish in the future.

Co-authorship network

The 17 scholars most cited alongside Nicolas A. Barriga, 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 Nicolas A. Barriga Line = papers co-authored together Nicolas A. Barriga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20242
4 20232
5 20231
6 20236
7 20227
8 20219
9 201918
10 201918
11 201920
12 201822
13 201724
14 201635
15 201522
16 201523
17 201427
18 20147
19 20147
20 20091

About Nicolas A. Barriga

Nicolas A. Barriga is a scholar working on Instrumentation, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 265 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (17 papers), Digital Games and Media (10 papers), Video Analysis and Summarization (5 papers), Reinforcement Learning in Robotics (5 papers), Educational Games and Gamification (4 papers), Sports Analytics and Performance (3 papers), Teaching and Learning Programming (2 papers) and Virtual Reality Applications and Impacts (2 papers). The work is most often cited by research in Artificial Intelligence (198 citations), Developmental and Educational Psychology (37 citations) and Computer Vision and Pattern Recognition (57 citations). Nicolas A. Barriga has collaborated with scholars based in Chile, Canada and United States. Frequent co-authors include Marius Stănescu, Michael Buro, Santiago Ontañón, Levi H. S. Lelis, Constanza Jacques‐Aviñó, Antoni Pérez-Navarro, Joan A. Caylà, Patricia García de Olalla, Cristian Vidal-Silva and J. Kern. Their work appears in journals such as IEEE Access, Sustainability and Applied Sciences.

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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