Washington X. Quevedo

32 total papers · 405 total citations
4 papers, 20 citations indexed

About

Washington X. Quevedo is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Washington X. Quevedo has authored 4 papers receiving a total of 20 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Human-Computer Interaction, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Automotive Engineering. Recurrent topics in Washington X. Quevedo's work include Augmented Reality Applications (2 papers), Speech and dialogue systems (1 paper) and Virtual Reality Applications and Impacts (1 paper). Washington X. Quevedo is often cited by papers focused on Augmented Reality Applications (2 papers), Speech and dialogue systems (1 paper) and Virtual Reality Applications and Impacts (1 paper). Washington X. Quevedo collaborates with scholars based in Ecuador and Spain. Washington X. Quevedo's co-authors include Víctor H. Andaluz, Óscar Arteaga, David Rivas-Lalaleo and Jessica S. Ortiz and has published in prestigious journals such as Re-Unir (International University of La Rioja).

In The Last Decade

Washington X. Quevedo

4 papers receiving 17 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Washington X. Quevedo 12 9 5 3 2 4 20
L. Guevara 6 0.5× 8 0.9× 3 0.6× 4 14
Thomas McElroy 6 0.5× 4 0.4× 2 0.4× 4 1.3× 3 13
L. Wielgus 14 1.2× 7 0.8× 14 2.8× 2 29
Olivier Rampnoux 7 0.6× 3 0.3× 12 2.4× 1 0.3× 3 1.5× 5 26
Kexin Zhang 10 0.8× 5 0.6× 1 0.2× 4 2.0× 4 18
D. Takemori 12 1.0× 8 0.9× 1 0.3× 6 3.0× 4 26
Chia-Ming Kuo 6 0.5× 5 0.6× 1 0.3× 3 1.5× 6 19
Jan Kallenbach 7 0.6× 9 1.0× 1 0.5× 3 18
Takuma Yagi 3 0.3× 10 1.1× 5 1.7× 4 13
Z. J. Xiao 4 0.3× 13 1.4× 4 20

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

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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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