Samuel T. Mayo

79 total papers · 1.0k total citations
20 papers, 795 citations indexed

About

Samuel T. Mayo is a scholar working on Information Systems, Information Systems and Management and Artificial Intelligence. According to data from OpenAlex, Samuel T. Mayo has authored 20 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Information Systems, 2 papers in Information Systems and Management and 2 papers in Artificial Intelligence. Recurrent topics in Samuel T. Mayo's work include Cognitive Abilities and Testing (2 papers), Educational Assessment and Improvement (2 papers) and Educational Technology and Assessment (2 papers). Samuel T. Mayo is often cited by papers focused on Cognitive Abilities and Testing (2 papers), Educational Assessment and Improvement (2 papers) and Educational Technology and Assessment (2 papers). Samuel T. Mayo collaborates with scholars based in United States. Samuel T. Mayo's co-authors include Albert K. Kurtz, Ardie Lubin and Julian C. Stanley and has published in prestigious journals such as Psychological Bulletin, Journal of the American Statistical Association and Review of Educational Research.

In The Last Decade

Samuel T. Mayo

17 papers receiving 719 citations

Hit Papers

Statistical Methods in Ed... 1980 2026 1995 2010 1980 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Samuel T. Mayo 200 156 108 91 80 20 795
Albert K. Kurtz 165 0.8× 149 1.0× 108 1.0× 91 1.0× 78 1.0× 11 739
John T. Pohlmann 251 1.3× 89 0.6× 163 1.5× 62 0.7× 90 1.1× 23 870
B. R. Hopkins 203 1.0× 93 0.6× 67 0.6× 65 0.7× 54 0.7× 14 872
Phill Gagné 115 0.6× 117 0.8× 153 1.4× 135 1.5× 103 1.3× 20 774
Linda Reichwein Zientek 376 1.9× 123 0.8× 151 1.4× 95 1.0× 124 1.6× 46 1.0k
John P. Poggio 239 1.2× 280 1.8× 82 0.8× 67 0.7× 81 1.0× 46 719
J. B. Buttram 247 1.2× 153 1.0× 136 1.3× 96 1.1× 53 0.7× 9 749
Joseph Lev 96 0.5× 98 0.6× 95 0.9× 76 0.8× 71 0.9× 8 786
Nancy L. Peterson 107 0.5× 90 0.6× 77 0.7× 172 1.9× 34 0.4× 21 708
David J. Pittenger 131 0.7× 156 1.0× 172 1.6× 146 1.6× 105 1.3× 38 795

Countries citing papers authored by Samuel T. Mayo

Since Specialization
Citations

This map shows the geographic impact of Samuel T. Mayo'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 Samuel T. Mayo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel T. Mayo more than expected).

Fields of papers citing papers by Samuel T. Mayo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel T. Mayo. 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 Samuel T. Mayo. The network helps show where Samuel T. Mayo may publish in the future.

Co-authorship network of co-authors of Samuel T. Mayo

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel T. Mayo. A scholar is included among the top collaborators of Samuel T. Mayo 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 Samuel T. Mayo. Samuel T. Mayo 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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