Rafael Cabeza

73 papers receiving 1.5k citations

Peers

Rafael Cabeza
Comparison fields: 5 of 102
  • Human-Computer Interaction 750
  • Ophthalmology 422
  • Urban Studies 143
  • Cognitive Neuroscience 380
  • Computer Vision and Pattern Recognition 369
Replace Arantxa Villanueva with:
Arantxa Villanueva Spain
Oleg V. Komogortsev United States
Eui Chul Lee South Korea
Carlos H. Morimoto Brazil
Michael Dörr Germany
Derrick Parkhurst United States
Sampath Jayarathna United States
Wolfgang Fuhl Germany
Thiago Santini Germany
Claudio M. Privitera United States
Rafael Cabeza relative to Arantxa Villanueva Spain Arantxa Villanueva's profile →
Citations per field
00.5×2.7×
Arantxa Villanueva · 1×
Citations per year

Countries citing papers authored by Rafael Cabeza

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Cabeza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006131
2 2008122
3 2007111
4 201172
5 201369
6 200858
7 201151
8 201251
9 201250
10 201648
11 201945
12 200743
13 201240
14 201237
15 201135
16 201535
17 200632
18 200629
19 201126
20 200525

About Rafael Cabeza

Rafael Cabeza is a scholar working on Human-Computer Interaction, Ophthalmology, Computer Vision and Pattern Recognition, Public Health, Environmental and Occupational Health and Electrical and Electronic Engineering, having authored 77 papers that have together received 1.6k indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (35 papers), Glaucoma and retinal disorders (22 papers), Ocular Surface and Contact Lens (11 papers), Analog and Mixed-Signal Circuit Design (9 papers), Advanced Computing and Algorithms (7 papers), Medical Image Segmentation Techniques (6 papers), Advanced Vision and Imaging (5 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Human-Computer Interaction (750 citations), Ophthalmology (422 citations), Urban Studies (143 citations), Cognitive Neuroscience (380 citations) and Computer Vision and Pattern Recognition (369 citations). Rafael Cabeza has collaborated with scholars based in Spain, Finland and United States. Frequent co-authors include Arantxa Villanueva, Juan J. Cerrolaza, Carmen Vidaurre, Reinhold Scherer, G. Pfurtscheller, Sonia Porta, A. Carlosena, Mikel Ariz, Alois Schlögl and Stefano Mattoccia. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, The Journal of Clinical Endocrinology & Metabolism, Sensors, Analog Integrated Circuits and Signal Processing and Computer Vision and Image Understanding.

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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