S. Kim MacGregor

21 total papers · 583 total citations
19 papers, 354 citations indexed

About

S. Kim MacGregor is a scholar working on Education, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, S. Kim MacGregor has authored 19 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Education, 10 papers in Developmental and Educational Psychology and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in S. Kim MacGregor's work include Innovative Teaching and Learning Methods (9 papers), Online and Blended Learning (7 papers) and Teacher Education and Leadership Studies (4 papers). S. Kim MacGregor is often cited by papers focused on Innovative Teaching and Learning Methods (9 papers), Online and Blended Learning (7 papers) and Teacher Education and Leadership Studies (4 papers). S. Kim MacGregor collaborates with scholars based in United States, Cambodia and Cyprus. S. Kim MacGregor's co-authors include Yiping Lou, Richard P. Niemiec, Costas N. Tsouloupas, Russell L. Carson, Enrique Ortiz, Eric J. Gonzalez, Hasti Seifi, Mar González-Franco, Karan Ahuja and Massimiliano Di Luca and has published in prestigious journals such as The Journal of Educational Research, Journal of Educational Computing Research and The Journal of Experimental Education.

In The Last Decade

S. Kim MacGregor

18 papers receiving 296 citations

Author Peers

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

Author Last Decade Papers Cites
S. Kim MacGregor 229 175 77 59 53 19 354
Lisa Gjedde 125 0.5× 126 0.7× 73 0.9× 66 1.1× 65 1.2× 22 332
Judi Repman 180 0.8× 142 0.8× 45 0.6× 37 0.6× 39 0.7× 25 293
Ray McAleese 184 0.8× 112 0.6× 52 0.7× 42 0.7× 60 1.1× 30 385
Keol Lim 229 1.0× 116 0.7× 95 1.2× 80 1.4× 98 1.8× 33 402
Canan Blake 163 0.7× 132 0.8× 51 0.7× 61 1.0× 85 1.6× 32 325
Jesse R. Sparks 165 0.7× 144 0.8× 35 0.5× 70 1.2× 56 1.1× 25 356
Nesrin Özdener 160 0.7× 149 0.9× 91 1.2× 43 0.7× 80 1.5× 37 399
Kimberly Rynearson 274 1.2× 181 1.0× 73 0.9× 29 0.5× 45 0.8× 10 394
Jacquetta Megarry 179 0.8× 113 0.6× 53 0.7× 48 0.8× 44 0.8× 22 367
Vanessa Peters 241 1.1× 138 0.8× 78 1.0× 21 0.4× 35 0.7× 24 334

Countries citing papers authored by S. Kim MacGregor

Since Specialization
Citations

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

Fields of papers citing papers by S. Kim MacGregor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Kim MacGregor. 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 S. Kim MacGregor. The network helps show where S. Kim MacGregor may publish in the future.

Co-authorship network of co-authors of S. Kim MacGregor

This figure shows the co-authorship network connecting the top 25 collaborators of S. Kim MacGregor. A scholar is included among the top collaborators of S. Kim MacGregor 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 S. Kim MacGregor. S. Kim MacGregor 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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