Washington X. Quevedo

407 citations
4 papers · 21 indexed · h-index 4
Topics
Augmented Reality Applications (2 papers)Interactive and Immersive Displays (1 paper)Experimental Learning in Engineering (1 paper)
Journals
Re-Unir (International University of La Rioja)
Partner nations
EcuadorSpain

In The Last Decade

Washington X. Quevedo

4 papers receiving 18 citations

Peers

Washington X. Quevedo
Comparison fields: 5 of 21
  • Human-Computer Interaction 13
  • Computer Vision and Pattern Recognition 9
  • Developmental and Educational Psychology 5
  • Control and Systems Engineering 3
  • Cognitive Neuroscience 2
Replace L. Guevara with:
L. Guevara Ecuador
L. Wielgus United States
D. Cline United States
F. Franchimon Switzerland
H. Zhou China
Ayush Khandelwal India
E. Gutierrez Mlot Italy
F. Colecchia United Kingdom
Kexin Zhang United States
Daiki Matsumoto Japan
Washington X. Quevedo relative to L. Guevara Ecuador L. Guevara's profile →
Citations per field
00.5×
L. Guevara · 1×
Citations per year

Countries citing papers authored by Washington X. Quevedo

Since Specialization
Citations

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

Fields of papers citing papers by Washington X. Quevedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Washington X. Quevedo. 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 Washington X. Quevedo. The network helps show where Washington X. Quevedo may publish in the future.

Co-authorship network of co-authors of Washington X. Quevedo

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

All Works

4 of 4 papers shown
#WorkIndexed citations
1 3
2 6
3 9
4 3

About Washington X. Quevedo

Washington X. Quevedo is a scholar working on Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Software, having authored 4 papers that have together received 21 indexed citations. Recurring topics across this work include Augmented Reality Applications (2 papers), Interactive and Immersive Displays (1 paper) and Experimental Learning in Engineering (1 paper). The work is most often cited by research in Human-Computer Interaction (13 citations), Life-span and Life-course Studies (1 citation) and Computer Vision and Pattern Recognition (9 citations). Washington X. Quevedo has collaborated with scholars based in Ecuador and Spain. Frequent co-authors include Víctor H. Andaluz, David Rivas-Lalaleo, Óscar Arteaga and Jessica S. Ortiz. Their work appears in journals such as Re-Unir (International University of La Rioja).

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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