Joan Llobera

1.2k total citations · 1 hit paper
21 papers, 786 citations indexed

About

Joan Llobera is a scholar working on Human-Computer Interaction, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Joan Llobera has authored 21 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Human-Computer Interaction, 8 papers in Social Psychology and 8 papers in Cognitive Neuroscience. Recurrent topics in Joan Llobera's work include Virtual Reality Applications and Impacts (12 papers), Action Observation and Synchronization (8 papers) and Human Motion and Animation (5 papers). Joan Llobera is often cited by papers focused on Virtual Reality Applications and Impacts (12 papers), Action Observation and Synchronization (8 papers) and Human Motion and Animation (5 papers). Joan Llobera collaborates with scholars based in Spain, Switzerland and United States. Joan Llobera's co-authors include Mel Slater, Bernhard Spanlang, María V. Sánchez-Vives, Doron Friedman, Giulio Ruffini, Olaf Blanke, Daniele Romano, Caecilia Charbonnier, Roy Salomon and Josep Valls‐Solé and has published in prestigious journals such as PLoS ONE, Scientific Reports and Experimental Brain Research.

In The Last Decade

Joan Llobera

19 papers receiving 745 citations

Hit Papers

Immersive Journalism: Immersive Virtual Reality for the F... 2010 2026 2015 2020 2010 100 200 300

Peers

Joan Llobera
Comparison fields: 5 of 85
  • Human-Computer Interaction 495
  • Social Psychology 242
  • Cognitive Neuroscience 197
  • Literature and Literary Theory 148
  • Computer Vision and Pattern Recognition 114
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Miguel Barreda-Ángeles Spain View profile →
Citations per field, relative to Joan Llobera
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Citations per year, relative to Joan Llobera
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Countries citing papers authored by Joan Llobera

Since Specialization
Citations

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

Fields of papers citing papers by Joan Llobera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan Llobera

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Llobera. A scholar is included among the top collaborators of Joan Llobera 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 Joan Llobera. Joan Llobera 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
# Work Indexed citations
1 0
2 2
3 4
4 5
5 2
6 4
7 10
8 4
9 1
10 15
11 33
12 9
13 41
14 16
15 31
16 12
17 69
18 36
19 122
20
Immersive Journalism: Immersive Virtual Reality for the First-Person Experience of News breakdown →
369

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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