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

Peers

T. E. Dielman
Comparison fields: 5 of 168
  • Clinical Psychology 590
  • Epidemiology 528
  • General Health Professions 523
  • Statistics and Probability 339
  • Education 295
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Citations per field, relative to T. E. Dielman
T. E. Dielman · 1×
Citations per year, relative to T. E. Dielman
T. E. Dielman · 1×

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
# Work Indexed citations
1 4
2 1
3 7
4 2
5 7
6 79
7
Student solutions manual for Applied regression analysis : a second course in business and economic statistics, fourth edition
3
8 2
9 27
10 1
11 1
12 84
13 6
14 1
15 10
16 26
17 49
18 10
19 16
20 96

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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