Ricardo Queirós

149 total papers · 810 total citations
57 papers, 391 citations indexed

About

Ricardo Queirós is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Information Systems. According to data from OpenAlex, Ricardo Queirós has authored 57 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Science Applications, 21 papers in Developmental and Educational Psychology and 17 papers in Information Systems. Recurrent topics in Ricardo Queirós's work include Teaching and Learning Programming (24 papers), Educational Games and Gamification (16 papers) and Online Learning and Analytics (14 papers). Ricardo Queirós is often cited by papers focused on Teaching and Learning Programming (24 papers), Educational Games and Gamification (16 papers) and Online Learning and Analytics (14 papers). Ricardo Queirós collaborates with scholars based in Portugal, Poland and Denmark. Ricardo Queirós's co-authors include José Paulo Leal, A. Cruz Serra, Pedro Silva Girão, José Carlos Paiva, Francisco Alegría, María Pérez, Luisa M. Regueras, Elena Verdú, Juan Pablo de Castro Fernández and Jakub Swacha and has published in prestigious journals such as Computers & Education, IEEE Transactions on Instrumentation and Measurement and Applied Sciences.

In The Last Decade

Ricardo Queirós

50 papers receiving 351 citations

Author Peers

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

Author Last Decade Papers Cites
Ricardo Queirós 200 116 83 65 64 57 391
Bruce R. Maxim 83 0.4× 58 0.5× 112 1.3× 35 0.5× 2 0.0× 60 406
Danli Wang 168 0.8× 87 0.8× 56 0.7× 21 0.3× 2 0.0× 47 376
Drew Davidson 22 0.1× 54 0.5× 102 1.2× 158 2.4× 14 0.2× 33 437
Cara MacNish 41 0.2× 11 0.1× 25 0.3× 113 1.7× 22 0.3× 36 367
Leandro Silva Galvão de Carvalho 183 0.9× 92 0.8× 91 1.1× 80 1.2× 56 404
Wilkerson L. Andrade 220 1.1× 51 0.4× 138 1.7× 64 1.0× 1 0.0× 64 422
Shanshan Wan 168 0.8× 48 0.4× 210 2.5× 197 3.0× 6 0.1× 38 411
Jun‐Ming Su 168 0.8× 74 0.6× 196 2.4× 110 1.7× 49 395
Janice L. Pearce 203 1.0× 69 0.6× 90 1.1× 59 0.9× 1 0.0× 38 386
Juan Pablo de Castro Fernández 205 1.0× 118 1.0× 122 1.5× 103 1.6× 1 0.0× 30 418

Countries citing papers authored by Ricardo Queirós

Since Specialization
Citations

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

Fields of papers citing papers by Ricardo Queirós

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ricardo Queirós

This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo Queirós. A scholar is included among the top collaborators of Ricardo Queirós 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 Ricardo Queirós. Ricardo Queirós 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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