Kayla Morehead

516 total citations
9 papers, 329 citations indexed

About

Kayla Morehead is a scholar working on Experimental and Cognitive Psychology, Education and Developmental and Educational Psychology. According to data from OpenAlex, Kayla Morehead has authored 9 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Experimental and Cognitive Psychology, 4 papers in Education and 4 papers in Developmental and Educational Psychology. Recurrent topics in Kayla Morehead's work include Visual and Cognitive Learning Processes (5 papers), Innovative Teaching and Learning Methods (2 papers) and Educational Strategies and Epistemologies (2 papers). Kayla Morehead is often cited by papers focused on Visual and Cognitive Learning Processes (5 papers), Innovative Teaching and Learning Methods (2 papers) and Educational Strategies and Epistemologies (2 papers). Kayla Morehead collaborates with scholars based in United States. Kayla Morehead's co-authors include Matthew G. Rhodes, Sarah Delozier, John Dunlosky, Katherine A. Rawson, Rachael N. Blasiman, Nathaniel L. Foster, Clarissa A. Thompson, Sarah K. Tauber, Janet Metcalfe and Michael L. Mueller and has published in prestigious journals such as Memory & Cognition, Educational Psychology Review and Memory.

In The Last Decade

Kayla Morehead

9 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kayla Morehead United States 6 185 162 125 80 48 9 329
Zuowei Wang United States 12 271 1.5× 132 0.8× 84 0.7× 75 0.9× 83 1.7× 25 434
Christopher M. Hakala United States 6 196 1.1× 109 0.7× 117 0.9× 88 1.1× 70 1.5× 9 344
Amber E. Witherby United States 10 193 1.0× 126 0.8× 149 1.2× 227 2.8× 74 1.5× 22 440
E.G. Steenbeek‐Planting Netherlands 9 216 1.2× 115 0.7× 48 0.4× 112 1.4× 35 0.7× 15 295
Anne Helder Netherlands 7 311 1.7× 136 0.8× 70 0.6× 112 1.4× 59 1.2× 12 434
Manuel Gimenes France 10 153 0.8× 56 0.3× 64 0.5× 112 1.4× 39 0.8× 18 271
Michelle L. Rivers United States 9 139 0.8× 81 0.5× 86 0.7× 133 1.7× 57 1.2× 18 268
Barbie J. Huelser United States 4 219 1.2× 127 0.8× 138 1.1× 245 3.1× 143 3.0× 4 438
Carole L. Yue United States 9 173 0.9× 77 0.5× 166 1.3× 120 1.5× 49 1.0× 10 346
Yuhtsuen Tzeng Taiwan 7 268 1.4× 97 0.6× 90 0.7× 78 1.0× 77 1.6× 10 352

Countries citing papers authored by Kayla Morehead

Since Specialization
Citations

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

Fields of papers citing papers by Kayla Morehead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kayla Morehead

This figure shows the co-authorship network connecting the top 25 collaborators of Kayla Morehead. A scholar is included among the top collaborators of Kayla Morehead 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 Kayla Morehead. Kayla Morehead 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.
Morehead, Kayla, et al.. (2021). Can feedback, correct, and incorrect worked examples improve numerical magnitude estimation precision?. The Journal of Experimental Education. 91(1). 20–45. 11 indexed citations
2.
Dunlosky, John, Michael L. Mueller, Kayla Morehead, et al.. (2021). Why Does Excellent Monitoring Accuracy Not Always Produce Gains in Memory Performance?. Zeitschrift für Psychologie. 229(2). 104–119. 11 indexed citations
3.
Morehead, Kayla & John Dunlosky. (2020). Do students make effective decisions when regulating their learning of categories?. Translational Issues in Psychological Science. 6(1). 43–52. 3 indexed citations
4.
Morehead, Kayla, et al.. (2019). Note-taking habits of 21st Century college students: implications for student learning, memory, and achievement. Memory. 27(6). 807–819. 73 indexed citations
5.
Morehead, Kayla, John Dunlosky, & Katherine A. Rawson. (2019). How Much Mightier Is the Pen than the Keyboard for Note-Taking? A Replication and Extension of Mueller and Oppenheimer (2014). Educational Psychology Review. 31(3). 753–780. 57 indexed citations
6.
Morehead, Kayla. (2017). Letting Students Decide what to Study during Category Learning will help their Performance, but only if they make the Right Decisions. OhioLink ETD Center (Ohio Library and Information Network). 1 indexed citations
7.
Morehead, Kayla, John Dunlosky, & Nathaniel L. Foster. (2017). Do people use category-learning judgments to regulate their learning of natural categories?. Memory & Cognition. 45(8). 1253–1269. 11 indexed citations
8.
Morehead, Kayla, John Dunlosky, Katherine A. Rawson, Melissa Bishop, & Mary A. Pyc. (2017). Does mediator use contribute to the spacing effect for cued recall? Critical tests of the mediator hypothesis. Memory. 26(4). 535–546. 2 indexed citations
9.
Morehead, Kayla, Matthew G. Rhodes, & Sarah Delozier. (2015). Instructor and student knowledge of study strategies. Memory. 24(2). 257–271. 160 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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