Marcos Serrano

1.6k citations
34 papers · 205 · h-index 9

Impact in

Papers in

Marcos Serrano

32 papers receiving 193 citations

Peers

Marcos Serrano
Comparison fields: 5 of 61
  • Human-Computer Interaction 115
  • Computer Vision and Pattern Recognition 48
  • Cognitive Neuroscience 38
  • Artificial Intelligence 60
  • Computer Science Applications 10
Replace Young-Ho Kim with:
Young-Ho Kim South Korea
Sophie Lepreux France
Richard Picking United Kingdom
Alan L. Liu United States
Sylvain Malacria France
Olivier Augereau Japan
Efe Bozkir Germany
Norizan Mat Diah Malaysia
Trenton Schulz Norway
Panagiotis Markopoulos Finland
Marcos Serrano relative to Young-Ho Kim South Korea Young-Ho Kim's profile →
Citations per field
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Young-Ho Kim · 1×
Citations per year

Countries citing papers authored by Marcos Serrano

Since Specialization
Citations

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

Fields of papers citing papers by Marcos Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200844
2 200615
3 200715
4 201812
5 202112
6 201010
7 202210
8 20149
9 20209
10 20198
11
A Demonstration of the OpenInterface Interaction Development Environment
20077
12 20197
13 20226
14 20164
15 20084
16 20164
17 20223
18 20203
19 20233
20 20213

About Marcos Serrano

Marcos Serrano is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence and Critical Care and Intensive Care Medicine, having authored 34 papers that have together received 205 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (14 papers), Usability and User Interface Design (10 papers), Tactile and Sensory Interactions (8 papers), Virtual Reality Applications and Impacts (7 papers), Speech and dialogue systems (6 papers), Innovative Human-Technology Interaction (5 papers), Nosocomial Infections in ICU (4 papers) and Data Visualization and Analytics (4 papers). The work is most often cited by research in Human-Computer Interaction (115 citations), Computer Vision and Pattern Recognition (48 citations), Cognitive Neuroscience (38 citations), Artificial Intelligence (60 citations) and Computer Science Applications (10 citations). Marcos Serrano has collaborated with scholars based in France, United Kingdom and Canada. Frequent co-authors include Laurence Nigay, Andrew Ramsay, Roderick Murray‐Smith, Sebastian Denef, Christophe Jouffrais, Enrique Limón Cáceres, Fernando Barroso-Barcenilla, Pourang Irani, Bernard Oriola and Barrett Ens. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, interactions, International Journal of Human-Computer Studies, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and Journal on Multimodal User Interfaces.

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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