David Rogosa

3.3k total citations · 2 hit papers
39 papers, 2.6k citations indexed

About

David Rogosa is a scholar working on Education, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, David Rogosa has authored 39 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Education, 7 papers in Management Science and Operations Research and 7 papers in Statistics and Probability. Recurrent topics in David Rogosa's work include School Choice and Performance (9 papers), Psychometric Methodologies and Testing (5 papers) and Statistical Methods and Bayesian Inference (3 papers). David Rogosa is often cited by papers focused on School Choice and Performance (9 papers), Psychometric Methodologies and Testing (5 papers) and Statistical Methods and Bayesian Inference (3 papers). David Rogosa collaborates with scholars based in United States and Cyprus. David Rogosa's co-authors include David A. Brandt, Michele F. Zimowski, John B. Willett, Hilary Saner, Robert E. Floden, Margaret J. Rosenbloom, Weiwei Chu, Stanley C. Deresinski, Torsten Rohlfing and Edith V. Sullivan and has published in prestigious journals such as Psychological Bulletin, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

David Rogosa

36 papers receiving 2.3k citations

Hit Papers

A growth curve approach to the measurement of change. 1980 2026 1995 2010 1982 1980 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Rogosa United States 16 520 486 483 446 359 39 2.6k
Jeri Benson United States 20 437 0.8× 538 1.1× 495 1.0× 554 1.2× 265 0.7× 40 1.9k
Tammi Vacha‐Haase United States 22 602 1.2× 359 0.7× 696 1.4× 287 0.6× 331 0.9× 50 2.5k
Jeffrey D. Kromrey United States 27 399 0.8× 696 1.4× 348 0.7× 230 0.5× 359 1.0× 130 2.9k
John Tisak United States 25 1.1k 2.1× 677 1.4× 962 2.0× 724 1.6× 585 1.6× 55 3.4k
Felix Thoemmes United States 22 500 1.0× 311 0.6× 536 1.1× 459 1.0× 509 1.4× 49 2.5k
Anthony J. Conger United States 18 574 1.1× 158 0.3× 428 0.9× 316 0.7× 302 0.8× 53 1.9k
Rolf Steyer Germany 25 599 1.2× 199 0.4× 670 1.4× 868 1.9× 339 0.9× 58 2.3k
Chi-Ming Kam Hong Kong 6 478 0.9× 296 0.6× 297 0.6× 192 0.4× 299 0.8× 6 2.0k
James Arbuckle United States 7 549 1.1× 349 0.7× 389 0.8× 213 0.5× 352 1.0× 12 1.7k
Barbara S. Plake United States 32 464 0.9× 1.5k 3.1× 527 1.1× 614 1.4× 390 1.1× 162 3.7k

Countries citing papers authored by David Rogosa

Since Specialization
Citations

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

Fields of papers citing papers by David Rogosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Rogosa

This figure shows the co-authorship network connecting the top 25 collaborators of David Rogosa. A scholar is included among the top collaborators of David Rogosa 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 Rogosa. David Rogosa 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.
Pfefferbaum, Adolf, David Rogosa, Margaret J. Rosenbloom, et al.. (2014). Accelerated aging of selective brain structures in human immunodeficiency virus infection: a controlled, longitudinal magnetic resonance imaging study. Neurobiology of Aging. 35(7). 1755–1768. 93 indexed citations
2.
Rogosa, David. (2005). Irrelevance of Reliability Coefficients to Accountability Systems: Statistical Disconnect in Kane-Staiger. SHILAP Revista de lepidopterología. 1 indexed citations
3.
Rogosa, David. (2005). Irrelevance of Reliability Coefficients to Accountability Systems: Statistical Disconnect in Kane-Staiger "Volatility in School Test Scores". RePEc: Research Papers in Economics. 1(1). 1–78. 7 indexed citations
4.
Rogosa, David. (2005). Statistical Misunderstandings of the Properties of School Scores and School Accountability. Yearbook of the National Society for the Study of Education. 104(2). 147–174. 13 indexed citations
5.
Curran, Patrick J., R. Wirth, John R. Nesselroade, et al.. (2004). Commentaries. Measurement Interdisciplinary Research and Perspectives. 2(4). 219–247. 13 indexed citations
6.
Rogosa, David & Edward H. Haertel. (2003). Deceived and Confused: An Attempt to Reconcile the Numbers in the Public Forum on School Accountability Report, "A Better Student Data System for California". 2 indexed citations
7.
Rogosa, David & Hilary Saner. (1995). Longitudinal Data Analysis Examples With Random Coefficient Models. Journal of Educational and Behavioral Statistics. 20(2). 149–170. 61 indexed citations
8.
Rogosa, David & Hilary Saner. (1995). Longitudinal Data Analysis Examples with Random Coefficient Models. Journal of Educational and Behavioral Statistics. 20(2). 149–149. 19 indexed citations
9.
Rogosa, David. (1994). Individual trajectories as the starting point for longitudinal data analysis.. PubMed. 8 Suppl 1. S302–7. 8 indexed citations
10.
Rogosa, David, et al.. (1991). Statistical Models for Behavioral Observations. Journal of Educational Statistics. 16(3). 157–252. 35 indexed citations
11.
Rogosa, David & Ghassan Ghandour. (1991). Reply to Discussants: Statistical Models for Behavioral Observations. Journal of Educational Statistics. 16(3). 281–281.
12.
Rogosa, David. (1989). Use of Achievement Measures in Judicial Decisions: Assessment of Student Academic Progress.. 1 indexed citations
13.
Rogosa, David. (1987). Casual Models Do Not Support Scientific Conclusions: A Comment in Support of Freedman. Journal of Educational Statistics. 12(2). 185–185. 19 indexed citations
14.
Rogosa, David. (1987). Casual Models Do Not Support Scientific Conclusions: A Comment in Support of Freedman. Journal of Educational Statistics. 12(2). 185–195. 65 indexed citations
15.
Rogosa, David, Robert E. Floden, & John B. Willett. (1984). Assessing the stability of teacher behavior.. Journal of Educational Psychology. 76(6). 1000–1027. 30 indexed citations
16.
Rogosa, David, David A. Brandt, & Michele F. Zimowski. (1982). A growth curve approach to the measurement of change.. Psychological Bulletin. 92(3). 726–748. 837 indexed citations breakdown →
17.
Rogosa, David. (1980). A critique of cross-lagged correlation.. Psychological Bulletin. 88(2). 245–258. 29 indexed citations
18.
Rogosa, David. (1980). A critique of cross-lagged correlation.. Psychological Bulletin. 88(2). 245–258. 542 indexed citations breakdown →
19.
Rogosa, David. (1980). Using Empirical Bayes Techniques in the Law School Validity Studies: Comment. Journal of the American Statistical Association. 75(372). 819–819. 2 indexed citations
20.
Breland, Hunter M. & David Rogosa. (1976). Validating Placement Tests.. 41(10). 2939–2945. 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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