Richard Wainess

19 total papers · 750 total citations
12 papers, 459 citations indexed

About

Richard Wainess is a scholar working on Developmental and Educational Psychology, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Richard Wainess has authored 12 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Developmental and Educational Psychology, 3 papers in Sociology and Political Science and 3 papers in Artificial Intelligence. Recurrent topics in Richard Wainess's work include Educational Games and Gamification (6 papers), Digital Games and Media (3 papers) and Intelligent Tutoring Systems and Adaptive Learning (2 papers). Richard Wainess is often cited by papers focused on Educational Games and Gamification (6 papers), Digital Games and Media (3 papers) and Intelligent Tutoring Systems and Adaptive Learning (2 papers). Richard Wainess collaborates with scholars based in United States. Richard Wainess's co-authors include Eva L. Baker, Harold F. O’Neil, Richard E. Mayer, Deanne Adams, Andrew MacNamara, Markus Iseli, John J. Lee, Gregory K. W. K. Chung, John J. Lee and Girlie C. Delacruz and has published in prestigious journals such as Journal of Educational Psychology, Military Medicine and The Curriculum Journal.

In The Last Decade

Richard Wainess

10 papers receiving 405 citations

Author Peers

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

Author Last Decade Papers Cites
Richard Wainess 357 118 109 106 74 12 459
Jamie L. Estock 272 0.8× 81 0.7× 92 0.8× 104 1.0× 54 0.7× 16 418
Gerard Jalette 381 1.1× 115 1.0× 154 1.4× 160 1.5× 46 0.6× 6 489
Stephen T. Slota 392 1.1× 117 1.0× 159 1.5× 155 1.5× 47 0.6× 6 492
Jeanine Krath 327 0.9× 89 0.8× 96 0.9× 123 1.2× 34 0.5× 13 516
Antero Lindstedt 260 0.7× 94 0.8× 83 0.8× 51 0.5× 44 0.6× 17 419
Linda Schürmann 316 0.9× 89 0.8× 116 1.1× 89 0.8× 26 0.4× 9 496
Jennifer Sabourin 227 0.6× 123 1.0× 113 1.0× 56 0.5× 113 1.5× 14 419
Doctoral Student 246 0.7× 165 1.4× 148 1.4× 125 1.2× 44 0.6× 18 511
Jacques Vonèche 152 0.4× 111 0.9× 156 1.4× 58 0.5× 45 0.6× 15 548
Elena Patricia Núñez Castellar 304 0.9× 85 0.7× 130 1.2× 103 1.0× 30 0.4× 15 445

Countries citing papers authored by Richard Wainess

Since Specialization
Citations

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

Fields of papers citing papers by Richard Wainess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Wainess

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