Kalif E. Vaughn

503 total citations
16 papers, 303 citations indexed

About

Kalif E. Vaughn is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Kalif E. Vaughn has authored 16 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 9 papers in Artificial Intelligence and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Kalif E. Vaughn's work include Memory Processes and Influences (13 papers), Intelligent Tutoring Systems and Adaptive Learning (7 papers) and Visual and Cognitive Learning Processes (4 papers). Kalif E. Vaughn is often cited by papers focused on Memory Processes and Influences (13 papers), Intelligent Tutoring Systems and Adaptive Learning (7 papers) and Visual and Cognitive Learning Processes (4 papers). Kalif E. Vaughn collaborates with scholars based in United States and Australia. Kalif E. Vaughn's co-authors include Katherine A. Rawson, Nate Kornell, John Dunlosky, Shana K. Carpenter, Mary A. Pyc, Matthew M. Walsh, Laura E. Knouse, Laura Smalarz, Kathryn T. Wissman and Matthew A. Palmer and has published in prestigious journals such as Psychological Science, Journal of Experimental Psychology Learning Memory and Cognition and Journal of Memory and Language.

In The Last Decade

Kalif E. Vaughn

14 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kalif E. Vaughn United States 10 225 155 120 90 37 16 303
Kathryn T. Wissman United States 10 233 1.0× 168 1.1× 98 0.8× 103 1.1× 43 1.2× 22 358
Noah D. Forrin Canada 11 246 1.1× 105 0.7× 50 0.4× 80 0.9× 55 1.5× 20 321
Sara D. Davis United States 10 252 1.1× 99 0.6× 92 0.8× 81 0.9× 82 2.2× 17 315
Michelle L. Rivers United States 9 133 0.6× 139 0.9× 57 0.5× 86 1.0× 31 0.8× 18 268
Kristopher Kopp United States 10 162 0.7× 96 0.6× 47 0.4× 115 1.3× 25 0.7× 13 303
Barbie J. Huelser United States 4 245 1.1× 219 1.4× 143 1.2× 138 1.5× 39 1.1× 4 438
Jin Xue China 9 153 0.7× 250 1.6× 39 0.3× 67 0.7× 36 1.0× 24 349
Irina V. Kapler Canada 4 90 0.4× 129 0.8× 81 0.7× 67 0.7× 9 0.2× 5 247
Aimee A. Callender United States 6 79 0.4× 212 1.4× 67 0.6× 79 0.9× 21 0.6× 12 334
Deborah Briihl United States 8 152 0.7× 153 1.0× 32 0.3× 84 0.9× 35 0.9× 15 256

Countries citing papers authored by Kalif E. Vaughn

Since Specialization
Citations

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

Fields of papers citing papers by Kalif E. Vaughn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kalif E. Vaughn. 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 Kalif E. Vaughn. The network helps show where Kalif E. Vaughn may publish in the future.

Co-authorship network of co-authors of Kalif E. Vaughn

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

All Works

16 of 16 papers shown
1.
Vaughn, Kalif E., et al.. (2022). The effect of hint strength on the benefits of retrieval practice. Applied Cognitive Psychology. 36(2). 468–476.
2.
Vaughn, Kalif E., et al.. (2021). Effort Praise Improves Resilience for College Students With High Fear of Failure. Journal of College Student Retention Research Theory & Practice. 25(2). 378–397. 6 indexed citations
3.
Vaughn, Kalif E., Kathleen Fuegen, Perilou Goddard, & Douglas S. Krull. (2021). The influence of self-testing websites on college exam performance.. Scholarship of Teaching and Learning in Psychology. 10(1). 30–43.
4.
Vaughn, Kalif E. & Nate Kornell. (2019). How to activate students’ natural desire to test themselves. Cognitive Research Principles and Implications. 4(1). 35–35. 14 indexed citations
5.
Smalarz, Laura, Nate Kornell, Kalif E. Vaughn, & Matthew A. Palmer. (2019). Identification performance from multiple lineups: Should eyewitnesses who pick fillers be burned?. Journal of Applied Research in Memory and Cognition. 8(2). 221–232. 9 indexed citations
7.
Rawson, Katherine A., Kalif E. Vaughn, Matthew M. Walsh, & John Dunlosky. (2018). Investigating and explaining the effects of successive relearning on long-term retention.. Journal of Experimental Psychology Applied. 24(1). 57–71. 21 indexed citations
8.
Vaughn, Kalif E., John Dunlosky, & Katherine A. Rawson. (2016). Effects of successive relearning on recall: Does relearning override the effects of initial learning criterion?. Memory & Cognition. 44(6). 897–909. 24 indexed citations
9.
Vaughn, Kalif E., et al.. (2016). Retrieval attempts enhance learning regardless of time spent trying to retrieve. Memory. 25(3). 298–316. 15 indexed citations
10.
Rawson, Katherine A., Kathryn T. Wissman, & Kalif E. Vaughn. (2015). Does testing impair relational processing? Failed attempts to replicate the negative testing effect.. Journal of Experimental Psychology Learning Memory and Cognition. 41(5). 1326–1336. 7 indexed citations
11.
Knouse, Laura E., Katherine A. Rawson, Kalif E. Vaughn, & John Dunlosky. (2015). Does Testing Improve Learning for College Students With Attention-Deficit/Hyperactivity Disorder?. Clinical Psychological Science. 4(1). 136–143. 11 indexed citations
12.
Rawson, Katherine A., Kalif E. Vaughn, & Shana K. Carpenter. (2014). Does the benefit of testing depend on lag, and if so, why? Evaluating the elaborative retrieval hypothesis. Memory & Cognition. 43(4). 619–633. 44 indexed citations
13.
Vaughn, Kalif E. & Katherine A. Rawson. (2014). Effects of criterion level on associative memory: Evidence for associative asymmetry. Journal of Memory and Language. 75. 14–26. 13 indexed citations
14.
Vaughn, Kalif E., Katherine A. Rawson, & Mary A. Pyc. (2013). Repeated retrieval practice and item difficulty: Does criterion learning eliminate item difficulty effects?. Psychonomic Bulletin & Review. 20(6). 1239–1245. 25 indexed citations
15.
Vaughn, Kalif E. & Katherine A. Rawson. (2012). When is guessing incorrectly better than studying for enhancing memory?. Psychonomic Bulletin & Review. 19(5). 899–905. 53 indexed citations
16.
Vaughn, Kalif E. & Katherine A. Rawson. (2011). Diagnosing Criterion-Level Effects on Memory. Psychological Science. 22(9). 1127–1131. 54 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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