John D. Morris

1.8k total citations · 1 hit paper
71 papers, 1.4k citations indexed

About

John D. Morris is a scholar working on Statistics and Probability, Education and Computer Networks and Communications. According to data from OpenAlex, John D. Morris has authored 71 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 14 papers in Education and 8 papers in Computer Networks and Communications. Recurrent topics in John D. Morris's work include Advanced Statistical Methods and Models (18 papers), Statistical Methods and Applications (8 papers) and Advanced Statistical Modeling Techniques (6 papers). John D. Morris is often cited by papers focused on Advanced Statistical Methods and Models (18 papers), Statistical Methods and Applications (8 papers) and Advanced Statistical Modeling Techniques (6 papers). John D. Morris collaborates with scholars based in United States, Hong Kong and Malaysia. John D. Morris's co-authors include Carl J. Huberty, Wilson H. Guertin, David D. Kumar, Barbara J. Ehren, Joseph M. Furner, Alyssa R. Gonzalez-DeHass, B. Keith Lenz, John Pisapia, Nicholas Sun‐Keung Pang and Ying Lin and has published in prestigious journals such as Nature, Psychological Bulletin and SHILAP Revista de lepidopterología.

In The Last Decade

John D. Morris

62 papers receiving 1.2k citations

Hit Papers

Multivariate analysis versus multiple univariate analyses. 1989 2026 2001 2013 1989 250 500 750
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.

  1. Multivariate analysis versus multiple univariate analyses.
    1989 763 citations Carl J. Huberty, John D. Morris Psychological Bulletin profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John D. Morris United States 15 292 281 263 217 151 71 1.4k
Schuyler W. Huck United States 13 255 0.9× 193 0.7× 185 0.7× 186 0.9× 83 0.5× 36 1.3k
Frederick J. Gravetter United States 9 372 1.3× 330 1.2× 293 1.1× 245 1.1× 80 0.5× 16 2.0k
Jennifer Fogo United States 5 315 1.1× 248 0.9× 252 1.0× 215 1.0× 109 0.7× 9 1.6k
Joseph M. Wisenbaker United States 21 701 2.4× 279 1.0× 306 1.2× 481 2.2× 165 1.1× 44 2.0k
Vicenç Quera Spain 16 197 0.7× 370 1.3× 285 1.1× 471 2.2× 72 0.5× 43 1.6k
Joe Francis United States 7 159 0.5× 279 1.0× 187 0.7× 141 0.6× 70 0.5× 20 1.4k
Jan D. Sinnott United States 18 441 1.5× 411 1.5× 308 1.2× 477 2.2× 77 0.5× 59 1.7k
Mark E. Swerdlik United States 13 259 0.9× 265 0.9× 307 1.2× 244 1.1× 34 0.2× 30 1.1k
Robert M. Thorndike United States 16 187 0.6× 160 0.6× 139 0.5× 116 0.5× 69 0.5× 35 1.2k
Oscar Krisen Buros United States 10 289 1.0× 282 1.0× 333 1.3× 268 1.2× 44 0.3× 30 1.4k

Countries citing papers authored by John D. Morris

Since Specialization
Citations

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

Fields of papers citing papers by John D. Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John D. Morris

This figure shows the co-authorship network connecting the top 25 collaborators of John D. Morris. A scholar is included among the top collaborators of John D. Morris 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 John D. Morris. John D. Morris 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.
2.
Morris, John D., et al.. (2018). Multicollinearity's Effect on Regression Prediction Accuracy with Real Data Structures. 44(1). 29–34. 5 indexed citations
3.
Gonzalez-DeHass, Alyssa R., et al.. (2017). Pre-service elementary teachers' achievement goals and their relationship to math anxiety. Learning and Individual Differences. 60. 40–45. 21 indexed citations
4.
Pisapia, John, et al.. (2016). Strengthening the Link between Entrepreneurial Proclivities and Entrepreneurial Outcomes: A Confirmatory Factor Analysis of the Entrepreneurial Dispositions Scale (EDS). SSRN Electronic Journal. 1 indexed citations
5.
6.
Morris, John D., et al.. (2001). The Effects of a Counselor-Led Guidance Intervention on Students' Behaviors and Attitudes.. Professional School Counseling. 4(3). 156. 12 indexed citations
7.
Morris, John D., et al.. (2001). A Model To Predict High School Dropouts in a Rural Florida School District.. 7(3). 12–17. 2 indexed citations
8.
Morris, John D., et al.. (1996). Predictive Discriminant Analysis Versus Logistic Regression in Two-Group Classification Problems.. Nurse Education Today. 34(9). 1238–41. 12 indexed citations
9.
Morris, John D., et al.. (1996). Monitoring surveys of the New Haven capping project, 1993-1994 /. 3 indexed citations
10.
Morris, John D. & Carl J. Huberty. (1995). Full Versus Restricted Model Testing in Predictive Discriminant Analysis. The Journal of Experimental Education. 63(2). 161–165. 1 indexed citations
11.
Morris, John D., et al.. (1993). Applied Multivariate Data Analysis, Volume II: Categorical and Multivariate Methods.. Journal of the American Statistical Association. 88(424). 1472–1472. 32 indexed citations
12.
Morris, John D., et al.. (1993). A Social-Psychological Perspective of Dietary Quality in Later Adulthood. Journal of Nutrition for the Elderly. 11(4). 35–53. 22 indexed citations
13.
Morris, John D., Barbara J. Ehren, & B. Keith Lenz. (1991). Building a Model to Predict Which Fourth Through Eighth Graders Will Drop Out in High School. The Journal of Experimental Education. 59(3). 286–293. 21 indexed citations
14.
Morris, John D.. (1986). Selecting a Predictor Weighting Method by Press. Educational and Psychological Measurement. 46(4). 853–869. 1 indexed citations
15.
Morris, John D.. (1982). Ridge regression and some alternative weighting techniques: A comment on Darlington.. Psychological Bulletin. 91(1). 203–210. 2 indexed citations
16.
Morris, John D., et al.. (1978). Subtest Order and WISC-R Scores of a Sample of Educable Mentally Retarded Subjects. Psychological Reports. 43(2). 383–386. 1 indexed citations
17.
Morris, John D., et al.. (1978). Behavior ratings of emotionally disturbed children by teachers, parents, and school psychologists. Psychology in the Schools. 15(3). 450–455. 22 indexed citations
18.
Morris, John D.. (1978). Maximizing coefficient alpha reliability while maintaining validity. Behavior Research Methods. 10(5). 733–734. 2 indexed citations
19.
Morris, John D.. (1977). Rotating a discriminant analysis solution. Behavior Research Methods. 9(1). 29–29. 1 indexed citations
20.
Morris, John D.. (1976). A Computer Program to Accomplish Commonality Analysis1. Educational and Psychological Measurement. 36(3). 721–723. 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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