Sara D. Davis

452 total citations
17 papers, 315 citations indexed

About

Sara D. Davis is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Social Psychology. According to data from OpenAlex, Sara D. Davis has authored 17 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 5 papers in Developmental and Educational Psychology and 4 papers in Social Psychology. Recurrent topics in Sara D. Davis's work include Memory Processes and Influences (14 papers), Deception detection and forensic psychology (3 papers) and Educational Strategies and Epistemologies (2 papers). Sara D. Davis is often cited by papers focused on Memory Processes and Influences (14 papers), Deception detection and forensic psychology (3 papers) and Educational Strategies and Epistemologies (2 papers). Sara D. Davis collaborates with scholars based in United States and Canada. Sara D. Davis's co-authors include Jason C. K. Chan, Christian A. Meissner, Michelle L. Meade, Karl K. Szpunar, Daniel J. Peterson, Mark J. Huff, Miko M. Wilford, Jason Geller, Kathryn T. Wissman and Diana L. Urbauer and has published in prestigious journals such as Psychological Bulletin, Journal of Experimental Psychology General and Journal of Experimental Psychology Learning Memory and Cognition.

In The Last Decade

Sara D. Davis

17 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara D. Davis United States 10 252 99 92 82 81 17 315
Kit W. Cho United States 12 199 0.8× 125 1.3× 111 1.2× 81 1.0× 156 1.9× 39 417
Adam R. Congleton Denmark 7 231 0.9× 144 1.5× 54 0.6× 97 1.2× 77 1.0× 11 314
Monika Undorf Germany 13 431 1.7× 251 2.5× 100 1.1× 112 1.4× 238 2.9× 35 577
Kathryn T. Wissman United States 10 233 0.9× 168 1.7× 98 1.1× 43 0.5× 103 1.3× 22 358
Daniel R. Kimball United States 9 415 1.6× 167 1.7× 155 1.7× 162 2.0× 146 1.8× 13 519
Michael J. Stroud United States 9 331 1.3× 201 2.0× 67 0.7× 48 0.6× 120 1.5× 19 469
Maciej Hanczakowski United Kingdom 15 466 1.8× 180 1.8× 95 1.0× 138 1.7× 183 2.3× 37 532
Marco Haverkort Netherlands 8 275 1.1× 186 1.9× 107 1.2× 70 0.9× 132 1.6× 19 483
Arnout Koornneef Netherlands 11 375 1.5× 337 3.4× 106 1.2× 34 0.4× 202 2.5× 22 616
Amber E. Witherby United States 10 227 0.9× 193 1.9× 74 0.8× 55 0.7× 149 1.8× 22 440

Countries citing papers authored by Sara D. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Sara D. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara D. Davis

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

All Works

17 of 17 papers shown
1.
Chan, Jason C. K., et al.. (2024). The magnitude of the testing effect is independent of retrieval practice performance.. Journal of Experimental Psychology General. 153(7). 1816–1837. 9 indexed citations
2.
Yennurajalingam, Sriram, Frank E. Mott, Zhanni Lu, et al.. (2023). Perception of subjective lived experiences of individuals with anorexia-cachexia in patients with advanced lung cancer. Asia-Pacific Journal of Oncology Nursing. 10(Suppl 1). 100314–100314. 2 indexed citations
3.
Davis, Sara D. & Jason C. K. Chan. (2023). Effortful Tests and Repeated Metacognitive Judgments Enhance Future Learning. Educational Psychology Review. 35(3). 6 indexed citations
4.
Davis, Sara D. & Daniel J. Peterson. (2022). Simulated viewing distance impairs the confidence–accuracy relationship for long, but not moderate distances: support for a model incorporating the role of feature ambiguity. Cognitive Research Principles and Implications. 7(1). 55–55. 3 indexed citations
5.
Davis, Sara D., et al.. (2021). Does expressive writing or an instructional intervention reduce the impacts of test anxiety in a college classroom?. Cognitive Research Principles and Implications. 6(1). 11 indexed citations
6.
Wilford, Miko M., et al.. (2020). Too much of a good thing: frequent retrieval can impair immediate new learning. Memory. 28(10). 1181–1190. 2 indexed citations
7.
Geller, Jason, Sara D. Davis, & Daniel J. Peterson. (2020). Sans Forgetica is not desirable for learning. Memory. 28(8). 957–967. 14 indexed citations
8.
Davis, Sara D., et al.. (2019). Physiological stress and face recognition: Differential effects of stress on accuracy and the confidence–accuracy relationship.. Journal of Applied Research in Memory and Cognition. 8(3). 367–375. 15 indexed citations
9.
Davis, Sara D., et al.. (2019). Communicating Elective Sterilization: A Feminist Perspective. 2(1). 3 indexed citations
10.
Chan, Jason C. K., et al.. (2018). Testing potentiates new learning across a retention interval and a lag: A strategy change perspective. Journal of Memory and Language. 102. 83–96. 45 indexed citations
11.
Chan, Jason C. K., Christian A. Meissner, & Sara D. Davis. (2018). Retrieval potentiates new learning: A theoretical and meta-analytic review.. Psychological Bulletin. 144(11). 1111–1146. 97 indexed citations
12.
Davis, Sara D.. (2018). Can multiple-choice testing potentiate new learning for text passages? A meta-cognitive approach to understanding the forward testing effect. Iowa State University Digital Repository (Iowa State University). 1 indexed citations
13.
Davis, Sara D., Jason C. K. Chan, & Miko M. Wilford. (2017). The dark side of interpolated testing: Frequent switching between retrieval and encoding impairs new learning.. Journal of Applied Research in Memory and Cognition. 6(4). 434–441. 20 indexed citations
14.
Davis, Sara D. & Jason C. K. Chan. (2015). Studying on borrowed time: How does testing impair new learning?. Journal of Experimental Psychology Learning Memory and Cognition. 41(6). 1741–1754. 22 indexed citations
15.
Chan, Jason C. K., et al.. (2015). Retrieval induces forgetting, but only when nontested items compete for retrieval: Implication for interference, inhibition, and context reinstatement.. Journal of Experimental Psychology Learning Memory and Cognition. 41(5). 1298–1315. 17 indexed citations
16.
Huff, Mark J., Sara D. Davis, & Michelle L. Meade. (2013). The effects of initial testing on false recall and false recognition in the social contagion of memory paradigm. Memory & Cognition. 41(6). 820–831. 26 indexed citations
17.
Davis, Sara D. & Michelle L. Meade. (2013). Both young and older adults discount suggestions from older adults on a social memory test. Psychonomic Bulletin & Review. 20(4). 760–765. 22 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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