Wilk Oliveira

126 total papers · 1.6k total citations
85 papers, 907 citations indexed

About

Wilk Oliveira is a scholar working on Developmental and Educational Psychology, Sociology and Political Science and Education. According to data from OpenAlex, Wilk Oliveira has authored 85 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Developmental and Educational Psychology, 38 papers in Sociology and Political Science and 25 papers in Education. Recurrent topics in Wilk Oliveira's work include Educational Games and Gamification (57 papers), Education and Digital Technologies (18 papers) and Flow Experience in Various Fields (17 papers). Wilk Oliveira is often cited by papers focused on Educational Games and Gamification (57 papers), Education and Digital Technologies (18 papers) and Flow Experience in Various Fields (17 papers). Wilk Oliveira collaborates with scholars based in Brazil, Finland and United Kingdom. Wilk Oliveira's co-authors include Seiji Isotani, Armando M. Toda, Paula T. Palomino, Luiz Rodrigues, Juho Hamari, Lei Shi, Ig Ibert Bittencourt, Alexandra I. Cristea, Julita Vassileva and Isabela Gasparini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Behaviour and Information Technology.

In The Last Decade

Wilk Oliveira

70 papers receiving 866 citations

Hit Papers

Tailored gamification in ... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Wilk Oliveira 694 310 264 194 171 85 907
Armando M. Toda 749 1.1× 288 0.9× 383 1.5× 180 0.9× 157 0.9× 69 1.0k
Isabela Gasparini 459 0.7× 287 0.9× 255 1.0× 138 0.7× 132 0.8× 142 843
Paula T. Palomino 584 0.8× 223 0.7× 247 0.9× 148 0.8× 109 0.6× 50 739
Sandra Gama 611 0.9× 218 0.7× 365 1.4× 119 0.6× 156 0.9× 41 912
Javier Torrente 685 1.0× 297 1.0× 362 1.4× 125 0.6× 175 1.0× 49 1.1k
Joan Arnedo-Moreno 460 0.7× 232 0.7× 188 0.7× 130 0.7× 96 0.6× 66 854
Azizah Jaafar 348 0.5× 169 0.5× 163 0.6× 157 0.8× 141 0.8× 81 725
Luiz Rodrigues 483 0.7× 189 0.6× 259 1.0× 108 0.6× 98 0.6× 80 797
Jeffrey Earp 701 1.0× 330 1.1× 244 0.9× 82 0.4× 224 1.3× 31 941
Élise Lavoué 462 0.7× 170 0.5× 280 1.1× 108 0.6× 143 0.8× 33 720

Countries citing papers authored by Wilk Oliveira

Since Specialization
Citations

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

Fields of papers citing papers by Wilk Oliveira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wilk Oliveira

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