Gordon P. Brooks

1.5k total citations · 1 hit paper
37 papers, 951 citations indexed

About

Gordon P. Brooks is a scholar working on Statistics and Probability, Management Science and Operations Research and Education. According to data from OpenAlex, Gordon P. Brooks has authored 37 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 7 papers in Management Science and Operations Research and 6 papers in Education. Recurrent topics in Gordon P. Brooks's work include Advanced Statistical Methods and Models (9 papers), Advanced Statistical Modeling Techniques (5 papers) and Psychometric Methodologies and Testing (5 papers). Gordon P. Brooks is often cited by papers focused on Advanced Statistical Methods and Models (9 papers), Advanced Statistical Modeling Techniques (5 papers) and Psychometric Methodologies and Testing (5 papers). Gordon P. Brooks collaborates with scholars based in United States and China. Gordon P. Brooks's co-authors include George A. Johanson, Michael J Papa, Elizabeth E. Graham, Robert S. Barcikowski, Brian G. Ragan, John H. Hitchcock, Chad Starkey, Valerie Martin Conley, Maria L. Rizzo and Hua Fang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Educational and Psychological Measurement and Applied Psychological Measurement.

In The Last Decade

Gordon P. Brooks

32 papers receiving 878 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Initial Scale Development: Sample Size for Pilot Studies

2009 565 citations George A. Johanson, Gordon P. Brooks profile →

Peers

Gordon P. Brooks

EDUCA

SP

SPS

GHP

CP

Shing-On Leung Macao

Gary Skolits United States

George A. Johanson United States

Hugh Coolican United Kingdom

Amery D. Wu Canada

Jennifer Richards United States

Sherri L. Jackson United States

Schuyler W. Huck United States

Ronald Jay Cohen United States

Maarten W. van Someren Netherlands

Shing-On Leung Macao

Gordon P. Brooks

110 ×0.6

EDUCA

175 ×1.1

SP

168 ×1.5

SPS

62 ×0.8

GHP

107 ×1.4

CP

Citations per year, relative to Gordon P. Brooks Gordon P. Brooks (= 1×) peers Shing-On Leung

Countries citing papers authored by Gordon P. Brooks

Since Specialization

Citations

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

Fields of papers citing papers by Gordon P. Brooks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gordon P. Brooks. 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 Gordon P. Brooks. The network helps show where Gordon P. Brooks may publish in the future.

Co-authorship network of co-authors of Gordon P. Brooks

This figure shows the co-authorship network connecting the top 25 collaborators of Gordon P. Brooks. A scholar is included among the top collaborators of Gordon P. Brooks 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 Gordon P. Brooks. Gordon P. Brooks 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

1.

Brooks, Gordon P., et al.. (2024). Bereavement During and Not During the Pandemic in Terms of Complicated Grief and Social Support. OMEGA - Journal of Death and Dying. 93(1). 523–540. 2 indexed citations

2.

Brooks, Gordon P., et al.. (2023). Cross-Loadings in Scale Development: Monte Carlo Study of Structural Item-Total Correlation Analysis with Small Samples. 47(2). 1–15.

3.

Brooks, Gordon P., et al.. (2023). For Post Hoc's Sake: Determining Sample Size for Tukey Multiple Comparisons in 4-Group ANOVA. 47(1). 1–14.

4.

Brooks, Gordon P., et al.. (2022). Sample Size for Parallel Analysis and Not-So-Common Criteria for Dimensions in Factor Analysis: Modifying the Eigenvalue > 1 Kaiser Rule. 46(1). 20–34. 1 indexed citations

5.

Brooks, Gordon P., et al.. (2021). Detecting Differential Item Functioning: Item Response Theory Methods Versus the Mantel-Haenszel Procedure. SHILAP Revista de lepidopterología. 8(2). 376–393. 5 indexed citations

6.

Brooks, Gordon P., et al.. (2020). Factor analysis and psychometric evaluation of the mathematical modeling attitude scale for teachers of mathematics. Journal of Mathematics Teacher Education. 25(2). 131–161. 13 indexed citations

7.

Brooks, Gordon P., et al.. (2019). MANOVA Post Hoc Techniques Used in Published Articles: A Systematic Review. 45(1). 4–11. 2 indexed citations

8.

Brooks, Gordon P., et al.. (2017). Outlier impact and accommodation on power. Journal of Modern Applied Statistical Methods. 16(1). 261–278. 7 indexed citations

9.

Brooks, Gordon P., et al.. (2017). A Precision-Based and Adaptive Approach to Number of Replications for Monte Carlo Studies of Robustness and Power. 43(1). 31–49.

10.

Brooks, Gordon P., et al.. (2016). Outlier Impact and Accommodation Methods: Multiple Comparisons of Type I Error Rates. Journal of Modern Applied Statistical Methods. 15(1). 452–471. 52 indexed citations

11.

Brooks, Gordon P. & George A. Johanson. (2011). Sample Size Considerations for Multiple Comparison Procedures in ANOVA. Journal of Modern Applied Statistical Methods. 10(1). 97–109. 39 indexed citations

12.

Brooks, Gordon P., et al.. (2011). Type I Error Inflation of the Separate-Variances Welch t test with Very Small Sample Sizes when Assumptions Are Met. Journal of Modern Applied Statistical Methods. 10(1). 362–372. 11 indexed citations

13.

Fang, Hua, Gordon P. Brooks, Maria L. Rizzo, Kimberly Andrews Espy, & Robert S. Barcikowski. (2009). Power of Models in Longitudinal Study: Findings From a Full-Crossed Simulation Design. The Journal of Experimental Education. 77(3). 215–254. 4 indexed citations

14.

An, Qian, et al.. (2009). Type I Error Rates and Power for Multiple Comparisons when Extreme Values Exist in Data. 1–2. 1 indexed citations

15.

Fang, Hua, Gordon P. Brooks, Maria L. Rizzo, Kimberly Andrews Espy, & Robert S. Barcikowski. (2008). A Monte Carlo Power Analysis of Traditional Repeated Measures and Hierarchical Multivariate Linear Models in Longitudinal Data Analysis. Journal of Modern Applied Statistical Methods. 7(1). 101–119. 5 indexed citations

16.

Freeman, Melissa, Valerie Martin Conley, & Gordon P. Brooks. (2006). Successful Vertical Transitions: What Separates Community College Transfers who Earn the Baccalaureate from Those who Don't?. 13(2). 141–150. 7 indexed citations

17.

Brooks, Gordon P., et al.. (2006). The Influence of language background and gender on students' academic outcomes : an Australian tertiary study. 21–26. 1 indexed citations

18.

Brooks, Gordon P., Robert S. Barcikowski, & Randall R. Robey. (1999). Monte Carlo Simulation for Perusal and Practice.. American Educational Research Association Annual Meeting. 1999(1). 6 indexed citations

19.

Brooks, Gordon P. & Robert S. Barcikowski. (1996). Precision Power and Its Application to the Selection of Regression Sample Sizes.. ScholarWorks@BGSU (Bowling Green State University). 9(4). 10–17. 7 indexed citations

20.

Brooks, Gordon P. & Robert S. Barcikowski. (1994). A New Sample Size Formula for Regression.. 34(2). 335–43. 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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