Matthew T. McBee

2.7k total citations
54 papers, 1.5k citations indexed

About

Matthew T. McBee is a scholar working on Education, Experimental and Cognitive Psychology and Cognitive Neuroscience. According to data from OpenAlex, Matthew T. McBee has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Education, 18 papers in Experimental and Cognitive Psychology and 11 papers in Cognitive Neuroscience. Recurrent topics in Matthew T. McBee's work include Education, Achievement, and Giftedness (12 papers), School Choice and Performance (9 papers) and Autism Spectrum Disorder Research (7 papers). Matthew T. McBee is often cited by papers focused on Education, Achievement, and Giftedness (12 papers), School Choice and Performance (9 papers) and Autism Spectrum Disorder Research (7 papers). Matthew T. McBee collaborates with scholars based in United States, Canada and Australia. Matthew T. McBee's co-authors include Scott J. Peters, Michael S. Matthews, Brian A. Boyd, Samuel L. Odom, Kara Hume, Erin Miller, James W. Bodfish, Tia N. Holtzclaw, Grace T. Baranek and Thomas P. Hébert and has published in prestigious journals such as Psychological Science, Journal of Autism and Developmental Disorders and Clinical Neurophysiology.

In The Last Decade

Matthew T. McBee

51 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew T. McBee United States 22 659 523 420 330 315 54 1.5k
Jiannong Shi China 21 393 0.6× 598 1.1× 409 1.0× 200 0.6× 331 1.1× 109 1.5k
Sara Caviola Italy 21 631 1.0× 778 1.5× 369 0.9× 300 0.9× 502 1.6× 37 2.0k
Joel S. Steele United States 18 484 0.7× 200 0.4× 358 0.9× 426 1.3× 445 1.4× 37 1.5k
Randy G. Floyd United States 28 725 1.1× 871 1.7× 329 0.8× 418 1.3× 1.4k 4.4× 87 2.5k
Lee Anne Thompson United States 17 436 0.7× 650 1.2× 215 0.5× 355 1.1× 557 1.8× 20 1.5k
Naomi Sweller Australia 23 499 0.8× 260 0.5× 252 0.6× 443 1.3× 476 1.5× 99 1.4k
Susan G. Assouline United States 25 986 1.5× 760 1.5× 337 0.8× 480 1.5× 383 1.2× 68 2.1k
David Giofrè Italy 27 537 0.8× 683 1.3× 489 1.2× 166 0.5× 755 2.4× 84 1.9k
Celestino Rodríguez Spain 24 790 1.2× 262 0.5× 322 0.8× 368 1.1× 495 1.6× 177 2.0k
Elisa S. Shernoff United States 21 902 1.4× 231 0.4× 343 0.8× 703 2.1× 918 2.9× 46 2.2k

Countries citing papers authored by Matthew T. McBee

Since Specialization
Citations

This map shows the geographic impact of Matthew T. McBee'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 Matthew T. McBee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. McBee more than expected).

Fields of papers citing papers by Matthew T. McBee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew T. McBee. 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 Matthew T. McBee. The network helps show where Matthew T. McBee may publish in the future.

Co-authorship network of co-authors of Matthew T. McBee

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew T. McBee. A scholar is included among the top collaborators of Matthew T. McBee 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 Matthew T. McBee. Matthew T. McBee 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.
McBee, Matthew T., Rebecca J. Brand, & Wallace E. Dixon. (2021). Challenging the Link Between Early Childhood Television Exposure and Later Attention Problems: A Multiverse Approach. Psychological Science. 32(4). 496–518. 9 indexed citations
2.
Makel, Matthew C., et al.. (2020). Collaboration in Giftedness and Talent Development Research. journal for the education of the gifted. 43(2). 91–107. 3 indexed citations
3.
Makel, Matthew C., et al.. (2019). A Path to Greater Credibility: Large-Scale Collaborative Education Research. AERA Open. 5(4). 8 indexed citations
4.
McBee, Matthew T. & Matthew C. Makel. (2019). The Quantitative Implications of Definitions of Giftedness. AERA Open. 5(1). 34 indexed citations
5.
McBee, Matthew T., et al.. (2018). An Analysis of the Psychache Scale in College Student Problematic Drinkers. Addictive Disorders & Their Treatment. 17(3). 147–154. 3 indexed citations
6.
McBee, Matthew T., et al.. (2017). The effects of rurality on substance use disorder diagnosis: A multiple-groups latent class analysis. Addictive Behaviors. 68. 24–29. 11 indexed citations
7.
McBee, Matthew T., Scott J. Peters, & Erin Miller. (2016). The Impact of the Nomination Stage on Gifted Program Identification. Gifted Child Quarterly. 60(4). 258–278. 81 indexed citations
8.
Parladé, Meaghan V., Matthew T. McBee, Drew Coman, et al.. (2016). Validation of the Pictorial Infant Communication Scale for preschool-aged children with autism spectrum disorder. Autism. 21(2). 203–216. 5 indexed citations
9.
McBee, Matthew T., et al.. (2015). The effects of working memory on brain–computer interface performance. Clinical Neurophysiology. 127(2). 1331–1341. 21 indexed citations
10.
Reszka, Stephanie S., Brian A. Boyd, Matthew T. McBee, Kara Hume, & Samuel L. Odom. (2013). Brief Report: Concurrent Validity of Autism Symptom Severity Measures. Journal of Autism and Developmental Disorders. 44(2). 466–470. 40 indexed citations
11.
Dalton, William T., et al.. (2013). Parent Report of Child's Health-Related Quality of Life after a Primary-Care-Based Weight Management Program. Childhood Obesity. 9(6). 501–508. 8 indexed citations
12.
Boyd, Brian A., Kara Hume, Matthew T. McBee, et al.. (2013). Comparative Efficacy of LEAP, TEACCH and Non-Model-Specific Special Education Programs for Preschoolers with Autism Spectrum Disorders. Journal of Autism and Developmental Disorders. 44(2). 366–380. 100 indexed citations
13.
Scherer, Nancy J., et al.. (2013). Longitudinal comparison of early speech and language milestones in children with cleft palate: A comparison of US and Slovak children. Clinical Linguistics & Phonetics. 27(6-7). 404–418. 10 indexed citations
14.
Park, Yara A., Jessica Poisson, Matthew T. McBee, & Araba Afenyi‐Annan. (2012). Seasonal association of thrombotic thrombocytopenic purpura. Transfusion. 52(7). 1530–1534. 5 indexed citations
15.
McBee, Matthew T., Elizabeth Shaunessy, & Michael S. Matthews. (2012). Policy Matters. Journal of Advanced Academics. 23(4). 326–344. 27 indexed citations
16.
Levesque, Donald, et al.. (2011). Canine and Feline Epileptic Seizures and the Lunar Cycle: 2,507 Seizures (2000–2008). Journal of the American Animal Hospital Association. 47(5). 324–328. 2 indexed citations
17.
18.
McBee, Matthew T.. (2010). Modeling Outcomes With Floor or Ceiling Effects: An Introduction to the Tobit Model. Gifted Child Quarterly. 54(4). 314–320. 104 indexed citations
19.
Boyd, Brian A., Matthew T. McBee, Tia N. Holtzclaw, Grace T. Baranek, & James W. Bodfish. (2009). Relationships among repetitive behaviors, sensory features, and executive functions in high functioning autism. Research in autism spectrum disorders. 3(4). 959–966. 133 indexed citations
20.
McBee, Matthew T., et al.. (2007). Exploring the motivational trajectories of gifted university students. Roeper Review. 29(3). 197–205. 14 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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