T. E. Dielman

3.7k total citations
108 papers, 2.8k citations indexed

About

T. E. Dielman is a scholar working on Statistics and Probability, Clinical Psychology and Education. According to data from OpenAlex, T. E. Dielman has authored 108 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics and Probability, 20 papers in Clinical Psychology and 18 papers in Education. Recurrent topics in T. E. Dielman's work include Advanced Statistical Methods and Models (23 papers), Child and Adolescent Psychosocial and Emotional Development (17 papers) and Statistical Methods and Inference (16 papers). T. E. Dielman is often cited by papers focused on Advanced Statistical Methods and Models (23 papers), Child and Adolescent Psychosocial and Emotional Development (17 papers) and Statistical Methods and Inference (16 papers). T. E. Dielman collaborates with scholars based in United States, Norway and United Kingdom. T. E. Dielman's co-authors include Jean T. Shope, Amy T. Butchart, Laurel A. Copeland, Pamela Campanelli, Roger C. Pfaffenberger, Raymond B. Cattell, Sharon L. Leech, Marc A. Zimmerman, Henry R. Oppenheimer and Keith C. Barton and has published in prestigious journals such as Journal of the American Statistical Association, Child Development and Journal of Consulting and Clinical Psychology.

In The Last Decade

T. E. Dielman

107 papers receiving 2.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
T. E. Dielman 590 528 523 339 295 108 2.8k
William R. Zwick 1.1k 1.8× 457 0.9× 400 0.8× 264 0.8× 342 1.2× 25 3.8k
Jacques A. Hagenaars 781 1.3× 304 0.6× 460 0.9× 558 1.6× 399 1.4× 43 4.1k
Choi K. Wan 896 1.5× 273 0.5× 812 1.6× 135 0.4× 196 0.7× 43 4.2k
P. M. Bentler 640 1.1× 200 0.4× 269 0.5× 187 0.6× 289 1.0× 42 2.6k
Marcel A. Croon 828 1.4× 153 0.3× 722 1.4× 329 1.0× 338 1.1× 80 3.8k
Edith D. de Leeuw 314 0.5× 273 0.5× 652 1.2× 583 1.7× 305 1.0× 78 4.6k
George Leckie 506 0.9× 148 0.3× 549 1.0× 268 0.8× 612 2.1× 137 3.3k
Andrew R. Morral 1.5k 2.6× 1.0k 2.0× 662 1.3× 529 1.6× 269 0.9× 130 4.3k
Jeffrey D. Kromrey 399 0.7× 94 0.2× 241 0.5× 348 1.0× 696 2.4× 130 2.9k
Ting Yan 424 0.7× 215 0.4× 433 0.8× 472 1.4× 95 0.3× 76 4.8k

Countries citing papers authored by T. E. Dielman

Since Specialization
Citations

This map shows the geographic impact of T. E. Dielman'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 T. E. Dielman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. E. Dielman more than expected).

Fields of papers citing papers by T. E. Dielman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. E. Dielman. 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 T. E. Dielman. The network helps show where T. E. Dielman may publish in the future.

Co-authorship network of co-authors of T. E. Dielman

This figure shows the co-authorship network connecting the top 25 collaborators of T. E. Dielman. A scholar is included among the top collaborators of T. E. Dielman 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 T. E. Dielman. T. E. Dielman 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.
Moncrief, William C., Charles W. Lamb, & T. E. Dielman. (2013). Developing Telemarketing Support Systems. Journal of Personal Selling and Sales Management. 6(2). 43–49. 4 indexed citations
2.
Dielman, T. E.. (2011). Estimation and Hypothesis Testing in LAV Regression with Autocorrelated Errors: Is Correction for Autocorrelation Helpful?. Journal of Modern Applied Statistical Methods. 10(2). 539–548. 1 indexed citations
3.
Dielman, T. E.. (2009). Email: A Note on Hypothesis Tests after Correction for Autocorrelation: Solace for the Cochrane-Orcutt Method?. Journal of Modern Applied Statistical Methods. 8(1). 100–109. 7 indexed citations
4.
Dielman, T. E.. (2009). Least Absolute Value vs. Least Squares Estimation and Inference Procedures in Regression Models with Asymmetric Error Distributions. Journal of Modern Applied Statistical Methods. 8(1). 147–160. 2 indexed citations
5.
Dielman, T. E.. (2006). Choosing Smoothing Parameters For Exponential Smoothing: Minimizing Sums Of Squared Versus Sums Of Absolute Errors. Journal of Modern Applied Statistical Methods. 5(1). 118–129. 7 indexed citations
6.
Dielman, T. E.. (2005). Least absolute value regression: recent contributions. Journal of Statistical Computation and Simulation. 75(4). 263–286. 79 indexed citations
7.
Dielman, T. E.. (2005). Student solutions manual for Applied regression analysis : a second course in business and economic statistics, fourth edition. 3 indexed citations
8.
Dielman, T. E.. (2002). The numerical accuracy of statistical calculations in Excel 2000 and Minitab Version 13. Journal of business and management.. 8(2). 199–207. 2 indexed citations
9.
Shope, Jean T., et al.. (1996). Effectiveness of a High School Alcohol Misuse Prevention Program. Alcoholism Clinical and Experimental Research. 20(5). 791–798. 49 indexed citations
10.
Loveland‐Cherry, Carol, et al.. (1996). Correlates of Alcohol Use and Misuse in Fourth-Grade Children: Psychosocial, Peer, Parental, and Family Factors. Health Education Quarterly. 23(4). 497–511. 27 indexed citations
11.
Dielman, T. E. & Elizabeth L. Rose. (1995). Estimation After Pre-Testing in Least Absolute Value Regression with Autocorrelated Errors. Journal of business and management.. 2(2). 74–95. 1 indexed citations
12.
Weinberg, Naimah, T. E. Dielman, Wallace Mandell, & Jean T. Shope. (1994). Parental Drinking and Gender Factors in the Prediction of Early Adolescent Alcohol Use. International Journal of the Addictions. 29(1). 89–104. 30 indexed citations
13.
Shope, Jean T., et al.. (1994). Longitudinal Evaluation of an Enhanced Alcohol Misuse Prevention Study (AMPS) Curriculum for Grades Six‐Eight. Journal of School Health. 64(4). 160–166. 30 indexed citations
14.
Dielman, T. E., Deborah D. Kloska, Sharon L. Leech, John E. Schulenberg, & Jean T. Shope. (1992). Susceptibility to Peer Pressure as an Explanatory Variable for the Differential Effectiveness of an Alcohol Misuse Prevention Program in Elementary Schools. Journal of School Health. 62(6). 233–237. 29 indexed citations
15.
Dielman, T. E., Amy T. Butchart, Jean T. Shope, & Michael Miller. (1991). Environmental Correlates of Adolescent Substance Use and Misuse: Implications for Prevention Programs. International Journal of the Addictions. 25(sup7). 855–878. 84 indexed citations
16.
Dielman, T. E. & Roger C. Pfaffenberger. (1989). Efficiency of Ordinary Least Squares for Linear Models with Autocorrelation. Journal of the American Statistical Association. 84(405). 248–248. 10 indexed citations
17.
Dielman, T. E., Jean T. Shope, Sharon L. Leech, & Amy T. Butchart. (1989). Differential Effectiveness of an Elementary School‐based Alcohol Misuse Prevention Program. Journal of School Health. 59(6). 255–263. 83 indexed citations
18.
Dielman, T. E., et al.. (1987). Practice preferences of primary medical care and traditional internal medicine house officers. Medical Education. 21(5). 441–449. 2 indexed citations
19.
Dielman, T. E. & Roger C. Pfaffenberger. (1984). Computational Algorithms for Calculating Least Absolute Value and Chebyshev Estimates for Multiple Regression. American Journal of Mathematical and Management Sciences. 4(1-2). 169–197. 16 indexed citations
20.
Dielman, T. E.. (1983). Pooled Cross-Sectional and Time Series Data: A Survey of Current Statistical Methodology. The American Statistician. 37(2). 111–122. 96 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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