Deborah Moore‐Russo

985 total citations
80 papers, 697 citations indexed

About

Deborah Moore‐Russo is a scholar working on Education, Statistics and Probability and Developmental and Educational Psychology. According to data from OpenAlex, Deborah Moore‐Russo has authored 80 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Education, 16 papers in Statistics and Probability and 13 papers in Developmental and Educational Psychology. Recurrent topics in Deborah Moore‐Russo's work include Mathematics Education and Teaching Techniques (26 papers), Science Education and Pedagogy (12 papers) and Statistics Education and Methodologies (11 papers). Deborah Moore‐Russo is often cited by papers focused on Mathematics Education and Teaching Techniques (26 papers), Science Education and Pedagogy (12 papers) and Statistics Education and Methodologies (11 papers). Deborah Moore‐Russo collaborates with scholars based in United States, Puerto Rico and South Africa. Deborah Moore‐Russo's co-authors include AnnaMarie Conner, Daniel McGee, Francesca Ferrara, Laurie D. Edwards, Kemper Lewis, Ming Ming Chiu, Rafael Martínez-Planell, Lynn E. Shanahan, Stephanie Casey and Sarah Bansilal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Personality and Social Psychology Bulletin and Teaching and Teacher Education.

In The Last Decade

Deborah Moore‐Russo

76 papers receiving 644 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deborah Moore‐Russo United States	15	496	172	166	52	51	80	697
Allen Leung Hong Kong	11	426 0.9×	191 1.1×	158 1.0×	35 0.7×	34 0.7×	31	564
Ian Jones United Kingdom	17	572 1.2×	202 1.2×	235 1.4×	50 1.0×	40 0.8×	58	873
Michal Yerushalmy Israel	17	668 1.3×	269 1.6×	270 1.6×	26 0.5×	38 0.7×	53	812
E. Paul Goldenberg United States	13	503 1.0×	183 1.1×	215 1.3×	30 0.6×	54 1.1×	31	677
Bülent Güven Türkiye	15	745 1.5×	200 1.2×	193 1.2×	45 0.9×	166 3.3×	107	988
Taro Fujita United Kingdom	15	672 1.4×	152 0.9×	287 1.7×	25 0.5×	116 2.3×	74	801
Gloria Stillman Australia	20	880 1.8×	386 2.2×	293 1.8×	58 1.1×	139 2.7×	55	1.1k
Rina Hershkowitz Israel	17	878 1.8×	372 2.2×	381 2.3×	50 1.0×	85 1.7×	42	1.1k
Ángel Gutiérrez Spain	11	671 1.4×	178 1.0×	257 1.5×	50 1.0×	74 1.5×	51	819
Ιλιάδα Ηλία Cyprus	19	745 1.5×	228 1.3×	408 2.5×	39 0.8×	131 2.6×	50	930

Countries citing papers authored by Deborah Moore‐Russo

Since Specialization

Citations

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

Fields of papers citing papers by Deborah Moore‐Russo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deborah Moore‐Russo. 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 Deborah Moore‐Russo. The network helps show where Deborah Moore‐Russo may publish in the future.

Co-authorship network of co-authors of Deborah Moore‐Russo

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

All Works

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20 of 20 papers shown

Cronin, Anthony, et al.. (2025). A Synthesis of Mathematical Departmental Change Efforts: Framing, Foci, and Future Opportunities. PRIMUS. 35(4-5). 571–597.

Moore‐Russo, Deborah, et al.. (2024). Multivariable Calculus Instructors’ Reports of Resource use. International Journal of Research in Undergraduate Mathematics Education. 10(3). 802–822.

Moore‐Russo, Deborah, et al.. (2024). Impact of the Pandemic on the University of Oklahoma’s STEM Mathematics Pathway. PRIMUS. 35(4-5). 493–506.

Park, Lora E., et al.. (2024). Positive Feedback as a Lever to Boost Students’ STEM Outcomes. Personality and Social Psychology Bulletin. 52(1). 176–197. 2 indexed citations

Moore‐Russo, Deborah, et al.. (2024). 3D Manipulatives in Integral Calculus: Student Achievement and Confidence in Solids-Of-Revolution Tasks. Investigations in Mathematics Learning. 16(2). 100–119. 1 indexed citations

Moore‐Russo, Deborah, et al.. (2023). Towards research-based organizational structures in mathematics tutoring centres. Teaching Mathematics and its Applications An International Journal of the IMA. 43(1). 1–24. 1 indexed citations

Moore‐Russo, Deborah, et al.. (2022). A Study of Slope Explanations across a Standards-Based Textbook Series. 23(1). 25–45. 2 indexed citations

Moore‐Russo, Deborah, et al.. (2017). Teachers' Interpretations of Student Statements about Slope.. Proceedings of the ... PME Conference. 3 indexed citations

Moore‐Russo, Deborah, et al.. (2016). Gamification in Online Education: How and Why?. Society for Information Technology & Teacher Education International Conference. 2016(1). 254–259. 1 indexed citations

10.

Moore‐Russo, Deborah, et al.. (2015). Slope Across the Curriculum: Principles and Standards for School Mathematics and Common Core State Standards. The Mathematics educator. 23(2). 16 indexed citations

11.

McGee, Daniel & Deborah Moore‐Russo. (2015). Using a Technology-Supported Approach to Preservice Teachers' Multirepresentational Fluency: Unifying Mathematical Concepts and Their Representations. Contemporary issues in technology and teacher education. 15(4). 489–513. 4 indexed citations

12.

Moore‐Russo, Deborah, et al.. (2015). Perceptions of Online Learning Spaces and Their Incorporation in Mathematics Teacher Education.. Contemporary issues in technology and teacher education. 15(3). 283–317. 6 indexed citations

13.

Moore‐Russo, Deborah, et al.. (2014). How Students Come to Understand the Domain and Range for the Graphs of Functions.. Proceedings of the ... PME Conference. 5 indexed citations

14.

Edwards, Laurie D., Francesca Ferrara, & Deborah Moore‐Russo. (2014). Emerging Perspectives on Gesture and Embodiment in Mathematics. 41 indexed citations

15.

Moore‐Russo, Deborah, et al.. (2013). Incorporating a Product Archaeology Paradigm Across the Mechanical Engineering Curriculum. AEE Journal. 3(4). 22. 3 indexed citations

16.

Moore‐Russo, Deborah, et al.. (2013). SLOPE: A Network of Connected Components.. Proceedings of the ... PME Conference. 5 indexed citations

17.

Moore‐Russo, Deborah, et al.. (2012). Cognitive and Social Themes in Chidren's Public Television Programming in the United States. Journal of Children and Media. 7(2). 253–272. 2 indexed citations

18.

Moore‐Russo, Deborah, et al.. (2010). Comparing Physical and Cyber-Enhanced Product Dissection: Analysis from Multiple Perspectives. International journal of engineering education. 26(6). 1378–1390. 3 indexed citations

19.

Hulme, K.F., et al.. (2009). Experiential Learning in Vehicle Dynamics Education via Motion Simulation and Interactive Gaming. SHILAP Revista de lepidopterología. 2009(1). 15 indexed citations

20.

Moore‐Russo, Deborah, et al.. (2001). Expanding a Learner-Centered Environment Using Group Reports and Constructivist Portfolios. PubMed. 2(1). 12–17. 4 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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