Todd D. Reeves

1.4k total citations
40 papers, 913 citations indexed

About

Todd D. Reeves is a scholar working on Education, Information Systems and Management and Developmental and Educational Psychology. According to data from OpenAlex, Todd D. Reeves has authored 40 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Education, 19 papers in Information Systems and Management and 6 papers in Developmental and Educational Psychology. Recurrent topics in Todd D. Reeves's work include Educational Assessment and Improvement (18 papers), Teacher Education and Leadership Studies (10 papers) and Online and Blended Learning (7 papers). Todd D. Reeves is often cited by papers focused on Educational Assessment and Improvement (18 papers), Teacher Education and Leadership Studies (10 papers) and Online and Blended Learning (7 papers). Todd D. Reeves collaborates with scholars based in United States and Türkiye. Todd D. Reeves's co-authors include Rebecca Lowenhaupt, Amy E. Stich, Gili Marbach‐Ad, Jaekyung Lee, Joseph J. Pedulla, Andrew A. Tawfik, Kristen Miller, Clare M. O’Connor, E. William Wischusen and Philippe J. Giabbanelli and has published in prestigious journals such as Computers & Education, Teaching and Teacher Education and The Internet and Higher Education.

In The Last Decade

Todd D. Reeves

37 papers receiving 855 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Todd D. Reeves United States 19 559 219 151 133 79 40 913
Therese N. Hopfenbeck United Kingdom 17 881 1.6× 154 0.7× 80 0.5× 221 1.7× 105 1.3× 54 1.1k
Mindy L. Kornhaber United States 11 605 1.1× 83 0.4× 130 0.9× 154 1.2× 62 0.8× 22 943
Mary Thorpe United Kingdom 15 657 1.2× 97 0.4× 180 1.2× 229 1.7× 146 1.8× 39 974
Naomi Chudowsky United States 12 980 1.8× 177 0.8× 98 0.6× 393 3.0× 66 0.8× 29 1.3k
Kara Jackson United States 18 968 1.7× 261 1.2× 79 0.5× 230 1.7× 22 0.3× 31 1.2k
Gavin W. Fulmer United States 18 650 1.2× 109 0.5× 28 0.2× 195 1.5× 68 0.9× 52 784
Orit Avidov‐Ungar Israel 15 517 0.9× 55 0.3× 64 0.4× 103 0.8× 173 2.2× 57 719
Claire Wyatt‐Smith Australia 21 1.0k 1.8× 167 0.8× 34 0.2× 191 1.4× 89 1.1× 102 1.3k
Martina R.M. Meelissen Netherlands 10 694 1.2× 93 0.4× 91 0.6× 114 0.9× 283 3.6× 20 1.0k
Joseph J. Pedulla United States 15 690 1.2× 136 0.6× 30 0.2× 124 0.9× 61 0.8× 22 894

Countries citing papers authored by Todd D. Reeves

Since Specialization
Citations

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

Fields of papers citing papers by Todd D. Reeves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd D. Reeves

This figure shows the co-authorship network connecting the top 25 collaborators of Todd D. Reeves. A scholar is included among the top collaborators of Todd D. Reeves 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 Todd D. Reeves. Todd D. Reeves 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.
Reeves, Todd D., et al.. (2026). Decoding Item Fit Statistics in Generalized Partial Credit and Graded Response Models. Measurement and Evaluation in Counseling and Development. 59(2). 140–161. 1 indexed citations
2.
Reeves, Todd D., et al.. (2024). Interrogating an implementation filter: what constrains changes in teacher practice in response to professional development. Professional Development in Education. 1–15. 1 indexed citations
3.
4.
Reeves, Todd D., et al.. (2023). Validation and invariance of the Conceptions of Assessment-III Abridged (COA-IIIA) among pre-service and in-service teachers in the United States. Educational Assessment Evaluation and Accountability. 35(3). 419–447.
5.
Andzik, Natalie R., et al.. (2022). Do Data-Driven Decision-Making Efficacy and Anxiety Inventory Scores Mean the Same Thing for Pre-Service and In-Service Teachers?. Journal of Psychoeducational Assessment. 40(4). 482–498. 2 indexed citations
6.
Reeves, Todd D., et al.. (2021). In-Service Teacher Access to and Use of Non-Academic Data for Decision Making. The Educational Forum. 86(2). 199–220. 3 indexed citations
7.
Reeves, Todd D., et al.. (2018). Patterns in how pre-service elementary teachers formulate evidence-based claims about student cognition. Journal of Education for Teaching International Research and Pedagogy. 45(2). 140–154. 2 indexed citations
8.
Reeves, Todd D., Douglas M. Warner, Larry H. Ludlow, & Clare M. O’Connor. (2018). Pathways over Time: Functional Genomics Research in an Introductory Laboratory Course. CBE—Life Sciences Education. 17(1). ar1–ar1. 20 indexed citations
9.
Reeves, Todd D.. (2017). School Level and Other Differences in Illinois Teachers' Use of Data to Inform Instruction.. ScholarWorks@BGSU (Bowling Green State University). 29(4). 332–354. 4 indexed citations
10.
Reeves, Todd D.. (2017). Pre-service teachers' data use opportunities during student teaching. Teaching and Teacher Education. 63. 263–273. 25 indexed citations
11.
Reeves, Todd D., et al.. (2016). Computer Proficiency for Online Learning: Factorial Invariance of Scores among Teachers.. ScholarWorks@BGSU (Bowling Green State University). 28(3). 247–263. 1 indexed citations
12.
Reeves, Todd D. & Gili Marbach‐Ad. (2016). Contemporary Test Validity in Theory and Practice: A Primer for Discipline-Based Education Researchers. CBE—Life Sciences Education. 15(1). rm1–rm1. 79 indexed citations
13.
Tawfik, Andrew A., Todd D. Reeves, & Amy E. Stich. (2016). Intended and Unintended Consequences of Educational Technology on Social Inequality. TechTrends. 60(6). 598–605. 28 indexed citations
14.
Stich, Amy E. & Todd D. Reeves. (2016). Massive open online courses and underserved students in the United States. The Internet and Higher Education. 32. 58–71. 59 indexed citations
15.
Walker, David A., Todd D. Reeves, & Thomas J. Smith. (2016). Confirmation of the Data-Driven Decision-Making Efficacy and Anxiety Inventory’s Score Factor Structure Among Teachers. Journal of Psychoeducational Assessment. 36(5). 477–491. 10 indexed citations
16.
Reeves, Todd D., et al.. (2015). A classroom data literacy intervention for pre-service teachers. Teaching and Teacher Education. 50. 90–101. 64 indexed citations
17.
Stich, Amy E. & Todd D. Reeves. (2014). Class, capital, and competing academic discourse: a critical analysis of the mission/s of American higher education. Discourse Studies in the Cultural Politics of Education. 37(1). 116–132. 6 indexed citations
18.
Reeves, Todd D. & Joseph J. Pedulla. (2013). Bolstering the Impact of Online Professional Development for Teachers. Huskie Commons (Northern Illinois University). 1. 50–66. 16 indexed citations
19.
Lowenhaupt, Rebecca, et al.. (2013). Coaching in context: the role of relationships in the work of three literacy coaches. Professional Development in Education. 40(5). 740–757. 37 indexed citations
20.
Lee, Jaekyung & Todd D. Reeves. (2012). Revisiting the Impact of NCLB High-Stakes School Accountability, Capacity, and Resources. Educational Evaluation and Policy Analysis. 34(2). 209–231. 78 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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