Riordan Alfredo

33 total papers · 415 total citations
18 papers, 165 citations indexed

About

Riordan Alfredo is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Education. According to data from OpenAlex, Riordan Alfredo has authored 18 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Science Applications, 9 papers in Developmental and Educational Psychology and 6 papers in Education. Recurrent topics in Riordan Alfredo's work include Online Learning and Analytics (11 papers), Innovative Teaching and Learning Methods (7 papers) and Online and Blended Learning (5 papers). Riordan Alfredo is often cited by papers focused on Online Learning and Analytics (11 papers), Innovative Teaching and Learning Methods (7 papers) and Online and Blended Learning (5 papers). Riordan Alfredo collaborates with scholars based in Australia, Ecuador and United States. Riordan Alfredo's co-authors include Roberto Martínez‐Maldonado, Lixiang Yan, Dragan Gašević, Vanessa Echeverría, Zachari Swiecki, Linxuan Zhao, Xinyu Li, Yueqiao Jin, Samantha Dix and Gloria Milena Fernandez-Nieto and has published in prestigious journals such as Computers & Education, British Journal of Educational Technology and ACM Transactions on Computer-Human Interaction.

In The Last Decade

Riordan Alfredo

16 papers receiving 160 citations

Author Peers

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

Author Last Decade Papers Cites
Riordan Alfredo 74 46 40 38 26 18 165
Gloria Milena Fernandez-Nieto 118 1.6× 87 1.9× 64 1.6× 74 1.9× 36 1.4× 17 271
Elisabeth Bauer 80 1.1× 62 1.3× 74 1.9× 62 1.6× 22 0.8× 18 222
Chang Lu 177 2.4× 80 1.7× 39 1.0× 65 1.7× 35 1.3× 27 292
Shiva Hajian 78 1.1× 60 1.3× 65 1.6× 58 1.5× 36 1.4× 11 225
Dragan Gašević 125 1.7× 62 1.3× 102 2.5× 31 0.8× 52 2.0× 14 236
Huy A. Nguyen 52 0.7× 52 1.1× 49 1.2× 32 0.8× 27 1.0× 24 175
Paul Tudorache 103 1.4× 33 0.7× 64 1.6× 55 1.4× 60 2.3× 15 248
Anders Kluge 88 1.2× 87 1.9× 18 0.5× 96 2.5× 35 1.3× 21 237
Alfred Essa 195 2.6× 31 0.7× 68 1.7× 61 1.6× 34 1.3× 17 235
Wei‐Sheng Wang 138 1.9× 89 1.9× 98 2.5× 66 1.7× 43 1.7× 19 258

Countries citing papers authored by Riordan Alfredo

Since Specialization
Citations

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

Fields of papers citing papers by Riordan Alfredo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riordan Alfredo

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