Andrew D. Katayama

26 total papers · 456 total citations
18 papers, 324 citations indexed

About

Andrew D. Katayama is a scholar working on Developmental and Educational Psychology, Education and Experimental and Cognitive Psychology. According to data from OpenAlex, Andrew D. Katayama has authored 18 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Developmental and Educational Psychology, 9 papers in Education and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Andrew D. Katayama's work include Innovative Teaching and Learning Methods (7 papers), Visual and Cognitive Learning Processes (6 papers) and Online and Blended Learning (3 papers). Andrew D. Katayama is often cited by papers focused on Innovative Teaching and Learning Methods (7 papers), Visual and Cognitive Learning Processes (6 papers) and Online and Blended Learning (3 papers). Andrew D. Katayama collaborates with scholars based in United States. Andrew D. Katayama's co-authors include Daniel H. Robinson, Steven M. Crooks, Thomas A. DeVaney, Nelson F. DuBois, Ya-Ping Hsieh, Richard Machalek, James Rye, Caitlin Kelley and Michael J. Lovaglia and has published in prestigious journals such as Memory & Cognition, Contemporary Educational Psychology and The Journal of Educational Research.

In The Last Decade

Andrew D. Katayama

18 papers receiving 277 citations

Author Peers

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

Author Last Decade Papers Cites
Andrew D. Katayama 180 174 166 35 31 18 324
Malcolm L. Fleming 115 0.6× 154 0.9× 128 0.8× 28 0.8× 28 0.9× 16 335
Hendrik Härtig 175 1.0× 252 1.4× 70 0.4× 25 0.7× 26 0.8× 22 355
John R. Surber 221 1.2× 137 0.8× 106 0.6× 47 1.3× 26 0.8× 23 357
Helmut Felix Friedrich 203 1.1× 193 1.1× 38 0.2× 24 0.7× 31 1.0× 12 335
Ismahan Arslan‐Ari 125 0.7× 117 0.7× 198 1.2× 22 0.6× 25 0.8× 24 310
Helmut Prechtl 156 0.9× 153 0.9× 122 0.7× 19 0.5× 16 0.5× 12 305
Kim Dirkx 122 0.7× 175 1.0× 75 0.5× 47 1.3× 29 0.9× 18 310
Charles D. Holley 220 1.2× 137 0.8× 121 0.7× 58 1.7× 18 0.6× 13 317
Anne Deiglmayr 191 1.1× 183 1.1× 85 0.5× 40 1.1× 18 0.6× 26 356
Marvin D. Glock 153 0.8× 114 0.7× 112 0.7× 47 1.3× 20 0.6× 20 315

Countries citing papers authored by Andrew D. Katayama

Since Specialization
Citations

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

Fields of papers citing papers by Andrew D. Katayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew D. Katayama. 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 Andrew D. Katayama. The network helps show where Andrew D. Katayama may publish in the future.

Co-authorship network of co-authors of Andrew D. Katayama

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew D. Katayama. A scholar is included among the top collaborators of Andrew D. Katayama 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 Andrew D. Katayama. Andrew D. Katayama 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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