Kira J. Carbonneau

1.3k total citations
53 papers, 801 citations indexed

About

Kira J. Carbonneau is a scholar working on Education, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Kira J. Carbonneau has authored 53 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Education, 21 papers in Developmental and Educational Psychology and 12 papers in Experimental and Cognitive Psychology. Recurrent topics in Kira J. Carbonneau's work include Early Childhood Education and Development (11 papers), Innovative Teaching and Learning Methods (8 papers) and Teacher Education and Leadership Studies (8 papers). Kira J. Carbonneau is often cited by papers focused on Early Childhood Education and Development (11 papers), Innovative Teaching and Learning Methods (8 papers) and Teacher Education and Leadership Studies (8 papers). Kira J. Carbonneau collaborates with scholars based in United States, Australia and Italy. Kira J. Carbonneau's co-authors include Scott C. Marley, James P. Selig, Yuliya Ardasheva, Martin H. Jones, Christian E. Mueller, Susan M. Matthew, Zhe Wang, David J. Atencio, Almut K. Zieher and Jason W. Johnson and has published in prestigious journals such as Journal of Educational Psychology, Review of Educational Research and TESOL Quarterly.

In The Last Decade

Kira J. Carbonneau

49 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kira J. Carbonneau United States 15 423 263 166 144 109 53 801
Scott C. Marley United States 14 370 0.9× 302 1.1× 188 1.1× 131 0.9× 88 0.8× 39 719
Jamie Jirout United States 13 523 1.2× 400 1.5× 110 0.7× 362 2.5× 126 1.2× 22 1.1k
Bobby Hoffman United States 12 350 0.8× 321 1.2× 76 0.5× 265 1.8× 128 1.2× 18 812
Minna Kyttälä Finland 12 342 0.8× 282 1.1× 371 2.2× 189 1.3× 64 0.6× 27 719
Ithel Jones United States 14 450 1.1× 272 1.0× 108 0.7× 39 0.3× 56 0.5× 36 683
Linda Hirsch United States 15 221 0.5× 220 0.8× 67 0.4× 75 0.5× 172 1.6× 78 1.0k
Bradley J. Morris United States 14 230 0.5× 262 1.0× 69 0.4× 81 0.6× 74 0.7× 41 578
Michelle R. Ellefson United Kingdom 14 316 0.7× 309 1.2× 52 0.3× 99 0.7× 46 0.4× 31 683
Joseph C. Kush United States 16 281 0.7× 407 1.5× 94 0.6× 254 1.8× 37 0.3× 39 743
Tammy D. Tolar United States 16 431 1.0× 561 2.1× 373 2.2× 126 0.9× 37 0.3× 23 886

Countries citing papers authored by Kira J. Carbonneau

Since Specialization
Citations

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

Fields of papers citing papers by Kira J. Carbonneau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kira J. Carbonneau. 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 Kira J. Carbonneau. The network helps show where Kira J. Carbonneau may publish in the future.

Co-authorship network of co-authors of Kira J. Carbonneau

This figure shows the co-authorship network connecting the top 25 collaborators of Kira J. Carbonneau. A scholar is included among the top collaborators of Kira J. Carbonneau 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 Kira J. Carbonneau. Kira J. Carbonneau 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.
Vaughn, Margaret, et al.. (2024). Exploring Agency as a Malleable Factor Related to Literacy. The Elementary School Journal. 124(4). 591–610.
5.
Wong, Rachel M., et al.. (2022). Effects of concept maps and worked examples in learning skills in mathematics. School Science and Mathematics. 122(4). 183–194. 2 indexed citations
6.
Carbonneau, Kira J., et al.. (2021). Comparative Effectiveness of Training with Simulators Versus Traditional Instruction in Veterinary Education: Meta-Analysis and Systematic Review. Journal of Veterinary Medical Education. 49(1). 25–38. 19 indexed citations
7.
Johnson, Jason W., et al.. (2020). A systematic review of digital badges in health care education. Medical Education. 54(7). 600–615. 28 indexed citations
8.
Wardrop, K. Jane, et al.. (2020). Development and assessment of a formal learning module to educate veterinary students in an intensive care unit about transfusion reactions. Journal of Veterinary Emergency and Critical Care. 30(4). 405–410. 1 indexed citations
9.
Matthew, Susan M., Kira J. Carbonneau, Caroline Mansfield, et al.. (2020). Development and validation of a contextualised measure of resilience in veterinary practice: the Veterinary Resilience Scale–Personal Resources (VRS–PR). Veterinary Record. 186(15). 489–489. 5 indexed citations
10.
Ardasheva, Yuliya, et al.. (2020). “Whoa… Welcome to America!”: Supporting Refugee Background Students’ Socioemotional Well-Being, English Language Development, and Content Area Learning. Journal of Research in Childhood Education. 35(3). 417–437. 18 indexed citations
11.
Morrison, Judith, et al.. (2020). Supporting Science Learning For English Language Learners. ScholarWorks (Walden University). 10(1). 3 indexed citations
12.
Wong, Rachel M., Olusola Adesope, & Kira J. Carbonneau. (2019). Process- and Product-Oriented Worked Examples and Self-Explanations to Improve Learning Performance.. Journal of STEM education. 20(2). 24–31. 4 indexed citations
13.
Barrio, Brenda L., et al.. (2019). Theory to Practice: Implementation Achievements and Challenges of Response to Intervention in a Rural District. Journal of the American Academy of Special Education Professionals. 125–140. 3 indexed citations
14.
Chen, Annie V., et al.. (2017). Magnetic resonance imaging versus computed tomography to plan hemilaminectomies in chondrodystrophic dogs with intervertebral disc extrusion. Veterinary Surgery. 46(7). 1025–1031. 10 indexed citations
15.
Jones, Martin H., et al.. (2016). Re-examining achievement goal instrumentation: Convergent validity of AGQ and PALS. Contemporary Educational Psychology. 46. 73–80. 24 indexed citations
16.
Carbonneau, Kira J., et al.. (2015). Addressing Educational Reform: Exploring PE Metrics as a System to Measure Student Achievement in Physical Education.. The Physical Educator. 72(1). 1 indexed citations
17.
Carbonneau, Kira J. & Scott C. Marley. (2015). Instructional Guidance and Realism of Manipulatives Influence Preschool Children's Mathematics Learning. The Journal of Experimental Education. 83(4). 495–513. 24 indexed citations
18.
Marley, Scott C. & Kira J. Carbonneau. (2014). Theoretical Perspectives and Empirical Evidence Relevant to Classroom Instruction with Manipulatives. Educational Psychology Review. 26(1). 1–7. 19 indexed citations
19.
Carbonneau, Kira J., et al.. (2012). State Population as a Predictor of Radiation Therapy Staffing Levels. Journal of the American College of Radiology. 9(5). 358–362. 1 indexed citations
20.
Morrison, Gregory, et al.. (2011). Pediatric digital radiography education for radiologic technologists: current state. Pediatric Radiology. 41(5). 602–610. 33 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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