David A. Walker

3.1k total citations · 1 hit paper
75 papers, 1.6k citations indexed

About

David A. Walker is a scholar working on Education, Sociology and Political Science and Statistics and Probability. According to data from OpenAlex, David A. Walker has authored 75 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Education, 13 papers in Sociology and Political Science and 13 papers in Statistics and Probability. Recurrent topics in David A. Walker's work include Advanced Statistical Methods and Models (8 papers), Australian History and Society (7 papers) and Teacher Education and Leadership Studies (5 papers). David A. Walker is often cited by papers focused on Advanced Statistical Methods and Models (8 papers), Australian History and Society (7 papers) and Teacher Education and Leadership Studies (5 papers). David A. Walker collaborates with scholars based in United States, Australia and Taiwan. David A. Walker's co-authors include Donald Ary, Ray V. Herren, Lucy Cheser Jacobs, Christine Irvine, Thomas J. Smith, Johs. Iversen, Knut Fægri, Laksiri Jayasuriya, Richard M. Wolf and Greg Conderman and has published in prestigious journals such as Journal of Ecology, Medicine & Science in Sports & Exercise and Geographical Review.

In The Last Decade

David A. Walker

65 papers receiving 1.4k citations

Hit Papers

Introduction to Research in Education (10th ed.) 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Walker United States 16 490 256 184 137 135 75 1.6k
David Walker United Kingdom 18 999 2.0× 148 0.6× 42 0.2× 97 0.7× 150 1.1× 91 1.9k
Ian Gregory United Kingdom 27 227 0.5× 533 2.1× 56 0.3× 32 0.2× 19 0.1× 126 2.3k
Marjorie Grene United States 22 202 0.4× 539 2.1× 31 0.2× 19 0.1× 152 1.1× 77 2.0k
Horace L. Fairlamb United States 5 268 0.5× 591 2.3× 38 0.2× 23 0.2× 213 1.6× 14 2.5k
William Stephenson United States 28 208 0.4× 496 1.9× 82 0.4× 20 0.1× 118 0.9× 161 3.8k
C. P. Snow United States 8 267 0.5× 389 1.5× 65 0.4× 22 0.2× 117 0.9× 17 1.9k
Peter Knight United Kingdom 29 1.7k 3.4× 409 1.6× 94 0.5× 788 5.8× 186 1.4× 108 3.3k
Rowan McLaughlin United Kingdom 14 103 0.2× 195 0.8× 12 0.1× 147 1.1× 93 0.7× 51 1.1k
Gregory Cajete United States 13 866 1.8× 588 2.3× 15 0.1× 16 0.1× 96 0.7× 26 2.2k
Margaret W. Rossiter United States 17 258 0.5× 630 2.5× 27 0.1× 11 0.1× 113 0.8× 63 2.6k

Countries citing papers authored by David A. Walker

Since Specialization
Citations

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

Fields of papers citing papers by David A. Walker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David A. Walker

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Walker. A scholar is included among the top collaborators of David A. Walker 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 A. Walker. David A. Walker 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.
Walker, David A., et al.. (2024). Generalising Across Domains in Video Misinformation Detection. 1–8.
3.
Smith, Thomas J., et al.. (2021). Homework characteristics as predictors of advanced math achievement and attitude among US 12th grade students. SN Social Sciences. 2(1). 1–1. 3 indexed citations
4.
Walker, David A. & Thomas J. Smith. (2020). Logistic Regression Under Sparse Data Conditions. Human Biology. 18(2). 2–18. 11 indexed citations
5.
Smith, Thomas J., et al.. (2020). An Exploration of Link Functions Used in Ordinal Regression. Human Biology. 18(1). 2–15. 6 indexed citations
6.
Walker, David A.. (2017). JMASM 48: The Pearson Product-Moment Correlation Coefficient and Adjustment Indices: The Fisher Approximate Unbiased Estimator and the Olkin-Pratt Adjustment (SPSS). Journal of Modern Applied Statistical Methods. 16(2). 540–546. 15 indexed citations
7.
Walker, David A.. (2016). JMASM38: Confidence Intervals for Kendall's Tau with Small Samples (SPSS). Journal of Modern Applied Statistical Methods. 15(1). 868–883. 11 indexed citations
8.
Walker, David A. & Thomas J. Smith. (2016). JMASM36: Nine Pseudo R^2 Indices for Binary Logistic Regression Models (SPSS). Journal of Modern Applied Statistical Methods. 15(1). 848–854. 38 indexed citations
9.
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
10.
Walker, David A., et al.. (2016). An Exploratory, Descriptive Study of the Attitudes of Instructors and Students toward the Use of Asynchronous Online Discussion at a Female University in Saudi Arabia.. ScholarWorks@BGSU (Bowling Green State University). 28(3). 232–246.
11.
Walker, David A.. (2015). JMASM34: Two Group Program for Cohen's d, Hedges’ g, η2, Radj2, ω2, ɛ2, Confidence Intervals, and Power. Journal of Modern Applied Statistical Methods. 14(2). 282–292. 3 indexed citations
12.
Walker, David A., et al.. (2012). Australia's Asia : from yellow peril to Asian century. 369. 34 indexed citations
13.
Walker, David A.. (2008). Estimating How Many Observations are Needed to Obtain a Required Level of Reliability. Journal of Modern Applied Statistical Methods. 7(1). 152–157. 4 indexed citations
14.
Walker, David A., et al.. (2008). Two Plausible Indicators to Use with State Accountability Measures: An Analysis of NAEP Math Data. The Educational Forum. 72(2). 177–186. 1 indexed citations
15.
Walker, David A.. (2007). A Comparison of Eight Shrinkage Formulas under Extreme Conditions. Journal of Modern Applied Statistical Methods. 6(1). 162–172. 4 indexed citations
16.
17.
Walker, David A.. (2005). A Comparison of the Spearman-Brown and Flanagan-Rulon Formulas for Split Half Reliability under Various Variance Parameter Conditions. Journal of Modern Applied Statistical Methods. 5(2). 443–451. 5 indexed citations
18.
Walker, David A. & Denise Young. (2003). Example Of The Impact Of Weights And Design Effects On Contingency Tables And Chi-Square Analysis. Journal of Modern Applied Statistical Methods. 2(2). 425–432. 6 indexed citations
19.
Walker, David A.. (2003). JMASM9: Converting Kendall's Tau For Correlational Or Meta-Analytic Analyses. Journal of Modern Applied Statistical Methods. 2(2). 525–530. 154 indexed citations
20.
Jayasuriya, Laksiri, et al.. (2003). Legacies of white Australia: Race, culture, and nation. UWA Profiles and Research Repository (University of Western Australia). 81 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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