David L. Lee

2.4k total citations
79 papers, 1.8k citations indexed

About

David L. Lee is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Education. According to data from OpenAlex, David L. Lee has authored 79 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Developmental and Educational Psychology, 26 papers in Cognitive Neuroscience and 18 papers in Education. Recurrent topics in David L. Lee's work include Behavioral and Psychological Studies (32 papers), Autism Spectrum Disorder Research (16 papers) and Cognitive and developmental aspects of mathematical skills (11 papers). David L. Lee is often cited by papers focused on Behavioral and Psychological Studies (32 papers), Autism Spectrum Disorder Research (16 papers) and Cognitive and developmental aspects of mathematical skills (11 papers). David L. Lee collaborates with scholars based in United States, United Kingdom and Japan. David L. Lee's co-authors include Mary Catherine Scheeler, Motohiro Tomizawa, John E. Casida, Phillip J. Belfiore, Jack T. Dennerlein, Thomas H. Cromartie, Torquil Fraser, David Rempel, Ralf W. Schlosser and Oliver Wendt and has published in prestigious journals such as Circulation, Journal of Agricultural and Food Chemistry and Journal of Biomechanics.

In The Last Decade

David L. Lee

79 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David L. Lee United States 24 579 448 348 259 245 79 1.8k
Morag MacLean United Kingdom 27 1.6k 2.7× 340 0.8× 809 2.3× 87 0.3× 112 0.5× 42 3.0k
Georgina Powell United Kingdom 24 204 0.4× 759 1.7× 62 0.2× 135 0.5× 141 0.6× 96 2.4k
Nikki Lee Netherlands 17 284 0.5× 467 1.0× 294 0.8× 308 1.2× 252 1.0× 52 1.9k
Li Yi China 22 213 0.4× 908 2.0× 209 0.6× 133 0.5× 176 0.7× 90 1.5k
Dennis R. Dixon United States 27 605 1.0× 1.7k 3.7× 256 0.7× 115 0.4× 899 3.7× 60 3.0k
David A. Eckerman United States 18 594 1.0× 440 1.0× 35 0.1× 98 0.4× 50 0.2× 53 1.3k
Fang Cui China 21 66 0.1× 585 1.3× 25 0.1× 416 1.6× 102 0.4× 85 1.3k
Lyle L. Lloyd United States 23 995 1.7× 757 1.7× 108 0.3× 96 0.4× 244 1.0× 79 2.0k
Cen Wang Australia 20 280 0.5× 49 0.1× 468 1.3× 223 0.9× 296 1.2× 64 1.3k

Countries citing papers authored by David L. Lee

Since Specialization
Citations

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

Fields of papers citing papers by David L. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David L. Lee. 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 David L. Lee. The network helps show where David L. Lee may publish in the future.

Co-authorship network of co-authors of David L. Lee

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

All Works

20 of 20 papers shown
1.
Bierman, Karen L., et al.. (2022). Linking intervention experiences to child outcomes in a school‐based social skills training program. Psychology in the Schools. 60(6). 1855–1876. 3 indexed citations
2.
McNaughton, David, et al.. (2021). The effects of AAC video visual scene display technology on the communicative turns of preschoolers with autism spectrum disorder. Assistive Technology. 34(5). 577–587. 20 indexed citations
3.
Farmer, Thomas W., et al.. (2018). Directed Consultation and Supported Professionalism: Promoting Adaptive Evidence-Based Practices in Rural Schools. Rural Special Education Quarterly. 37(3). 164–175. 16 indexed citations
4.
Taylor, Jonté, et al.. (2018). A Synthesis of the Daily Behavior Report Card Literature from 2007 to 2017. CSUSB ScholarWorks (California State University, San Bernardino). 7(1). 6 indexed citations
5.
6.
Lee, David L., et al.. (2015). Effects of Oral Reading Fluency on Students with Emotional and Behavioral Disorders' Latency to Continue Reading. Reading improvement. 52(3). 112–125. 3 indexed citations
7.
Belfiore, Phillip J., et al.. (2015). Functional analysis of maladaptive behaviors: Rule as a transitive conditioned motivating operation. Research in Developmental Disabilities. 49-50. 100–107. 1 indexed citations
8.
Rempel, David, et al.. (2014). The design of hand gestures for human–computer interaction: Lessons from sign language interpreters. International Journal of Human-Computer Studies. 72(10-11). 728–735. 52 indexed citations
9.
Lee, David L., et al.. (2012). THE EFFECTS OF HIGH‐PREFERENCE PROBLEMS ON THE COMPLETION OF NONPREFERRED MATHEMATICS PROBLEMS. Journal of Applied Behavior Analysis. 45(1). 223–228. 14 indexed citations
10.
Rempel, David, David L. Lee, Katie Dawson, & Peter M. Loomer. (2012). The effects of periodontal curette handle weight and diameter on arm pain. The Journal of the American Dental Association. 143(10). 1105–1113. 30 indexed citations
11.
Lee, David L., et al.. (2011). Collecting Behavioral Data in General Education Settings: A Primer for Behavioral Data Collection.. Beyond Behavior. 20(2). 22–30. 6 indexed citations
12.
Lee, David L., P. C. Kuo, Devin L. Jindrich, & Jack T. Dennerlein. (2008). Computer keyswitch force–displacement characteristics affect muscle activity patterns during index finger tapping. Journal of Electromyography and Kinesiology. 19(5). 810–820. 33 indexed citations
13.
Lee, David L., et al.. (2007). Administrator Beliefs about Students Referred for Classroom Disruption: A Pilot Investigation.. 14(4). 255–264. 1 indexed citations
14.
Kuo, P. C., David L. Lee, Devin L. Jindrich, & Jack T. Dennerlein. (2005). Finger joint coordination during tapping. Journal of Biomechanics. 39(16). 2934–2942. 44 indexed citations
15.
Lee, David L., et al.. (2004). Using Color to Increase the Math Persistence of Children with Co-occurring Learning Disabilities and Attentional Deficits. 13(2). 55–60. 2 indexed citations
16.
Lee, David L. & Thomas R. Zentall. (2002). The Effects of Visual Stimulation on the Mathematics Performance of Children with Attention Deficit/Hyperactivity Disorder.. Behavioral Disorders. 27(3). 272–288. 17 indexed citations
17.
Shulman, Mark S., David B. Kaplan, & David L. Lee. (2000). An anteromedial internal jugular vein successfully cannulated using the assistance of ultrasonography. Journal of Clinical Anesthesia. 12(1). 83–86. 2 indexed citations
18.
Lee, David L., et al.. (1999). The Effects of Response Effort and Choice on Productivity. Journal of Developmental and Physical Disabilities. 11(3). 287–293. 2 indexed citations
19.
Belfiore, Phillip J., et al.. (1997). EFFECTS OF HIGH‐PREFERENCE SINGLE‐DIGIT MATHEMATICS PROBLEM COMPLETION ON MULTIPLE‐DIGIT MATHEMATICS PROBLEM PERFORMANCE. Journal of Applied Behavior Analysis. 30(2). 327–330. 46 indexed citations
20.
Lee, David L. & Janet E. Hall. (1973). Female Library Science Students and the Occupational Stereotype: Fact or Fiction?. College & Research Libraries. 34(5). 265–267. 5 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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