Greg Kestin

1.4k total citations · 2 hit papers
9 papers, 787 citations indexed

About

Greg Kestin is a scholar working on Education, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Greg Kestin has authored 9 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Education, 4 papers in Experimental and Cognitive Psychology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Greg Kestin's work include Innovative Teaching Methods (5 papers), Visual and Cognitive Learning Processes (3 papers) and Innovative Teaching and Learning Methods (2 papers). Greg Kestin is often cited by papers focused on Innovative Teaching Methods (5 papers), Visual and Cognitive Learning Processes (3 papers) and Innovative Teaching and Learning Methods (2 papers). Greg Kestin collaborates with scholars based in United States. Greg Kestin's co-authors include Kelly Miller, Louis Deslauriers, Logan S. McCarty, Kristina Callaghan, Bertrand Schneider, Iulian Radu, Timothy Milbourne and Howard Georgi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Greg Kestin

9 papers receiving 742 citations

Hit Papers

Measuring actual learning versus feeling of learning in r... 2019 2026 2021 2023 2019 2025 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Greg Kestin United States 5 545 145 134 90 79 9 787
Kristina Callaghan United States 5 557 1.0× 154 1.1× 130 1.0× 98 1.1× 78 1.0× 6 800
Tyler A. Kummer United States 7 673 1.2× 113 0.8× 186 1.4× 75 0.8× 83 1.1× 10 829
Shima Salehi United States 15 456 0.8× 184 1.3× 96 0.7× 92 1.0× 26 0.3× 49 846
G. van de Watering Netherlands 8 467 0.9× 99 0.7× 58 0.4× 53 0.6× 51 0.6× 17 579
J. D. Walker United States 14 1.0k 1.8× 155 1.1× 280 2.1× 158 1.8× 33 0.4× 25 1.2k
Nancy Aguilar‐Roca United States 9 409 0.8× 63 0.4× 122 0.9× 45 0.5× 41 0.5× 12 504
Jessica Watkins United States 15 807 1.5× 369 2.5× 211 1.6× 94 1.0× 18 0.2× 31 1.0k
Susan M. Williams United States 10 304 0.6× 210 1.4× 51 0.4× 53 0.6× 40 0.5× 16 518
Valerie K. Otero United States 16 834 1.5× 290 2.0× 173 1.3× 41 0.5× 20 0.3× 44 981
Jacob Bishop United States 7 707 1.3× 72 0.5× 254 1.9× 133 1.5× 14 0.2× 10 940

Countries citing papers authored by Greg Kestin

Since Specialization
Citations

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

Fields of papers citing papers by Greg Kestin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greg Kestin

This figure shows the co-authorship network connecting the top 25 collaborators of Greg Kestin. A scholar is included among the top collaborators of Greg Kestin 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 Greg Kestin. Greg Kestin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Kestin, Greg, et al.. (2025). AI tutoring outperforms in-class active learning: an RCT introducing a novel research-based design in an authentic educational setting. Scientific Reports. 15(1). 17458–17458. 12 indexed citations breakdown →
2.
Radu, Iulian, et al.. (2023). How augmented reality influences student learning and inquiry styles: A study of 1-1 physics remote AR tutoring. SHILAP Revista de lepidopterología. 2. 100011–100011. 13 indexed citations
3.
Kestin, Greg, et al.. (2022). Increased learning in a college physics course with timely use of short multimedia summaries. Physical Review Physics Education Research. 18(1). 4 indexed citations
4.
Kestin, Greg & Kelly Miller. (2022). Harnessing active engagement in educational videos: Enhanced visuals and embedded questions. Physical Review Physics Education Research. 18(1). 18 indexed citations
5.
Miller, Kelly, et al.. (2022). How gender composition and group formation impact the effectiveness of group work in two-stage collaborative exams. Physical Review Physics Education Research. 18(2). 3 indexed citations
6.
Kestin, Greg, Kelly Miller, Logan S. McCarty, Kristina Callaghan, & Louis Deslauriers. (2020). Comparing the effectiveness of online versus live lecture demonstrations. Physical Review Physics Education Research. 16(1). 27 indexed citations
7.
Deslauriers, Louis, Logan S. McCarty, Kelly Miller, Kristina Callaghan, & Greg Kestin. (2019). Measuring actual learning versus feeling of learning in response to being actively engaged in the classroom. Proceedings of the National Academy of Sciences. 116(39). 19251–19257. 708 indexed citations breakdown →
8.
Georgi, Howard, et al.. (2016). Photon propagator in light-shell gauge. Physical review. D. 93(9). 1 indexed citations
9.
Georgi, Howard, et al.. (2016). Color fields on the light-shell. Journal of High Energy Physics. 2016(2). 1 indexed citations

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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