Thomas Trese

617 citations
9 papers · 520 · 1 hit paper · h-index 5

Impact in

Papers in

Thomas Trese

9 papers receiving 407 citations

Thomas Trese's Hit Papers

Intraclass Correlation and the Analysis of Variance 1958 · 356 citations
3560+22+45Years since publication100200300

Peers

Thomas Trese
Comparison fields: 5 of 88
  • Computational Mathematics 10
  • Statistics, Probability and Uncertainty 77
  • Neuropsychology and Physiological Psychology 25
  • Applied Psychology 35
  • Management Science and Operations Research 72
Replace Norman H. Livson with:
Norman H. Livson United States
Edwin E. Wagner United States
Gilbert Becker Canada
Samuel M. Deitz United States
Richard W. Coan United States
Robert Kalas United States
Read D. Tuddenham United States
Judy F. Rosenblith United States
Ty Partridge United States
Ralph J. Wetzel United States
Thomas Trese relative to Norman H. Livson United States Norman H. Livson's profile →
Citations per field
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Norman H. Livson · 1×
Citations per year

Countries citing papers authored by Thomas Trese

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Trese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Thomas Trese, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Trese Line = papers co-authored together Thomas Trese links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Intraclass Correlation and the Analysis of Variance
Hit paper breakdown →
1958356
2 196090
3 195745
4 196014
5 19607
6 19603
7 19562
8 19582
9 19551

About Thomas Trese

Thomas Trese is a scholar working on History, General Health Professions, Statistics, Probability and Uncertainty, Cultural Studies and Demography, having authored 9 papers that have together received 520 indexed citations. Recurring topics across this work include Catholicism and Religious Studies (5 papers), Aging, Elder Care, and Social Issues (3 papers), Psychoanalysis and Social Critique (1 paper), Contemporary Sociological Theory and Practice (1 paper), Family Dynamics and Relationships (1 paper), Psychoanalysis and Psychopathology Research (1 paper), Social Issues and Policies (1 paper) and Children's Rights and Participation (1 paper). The work is most often cited by research in Computational Mathematics (10 citations), Statistics, Probability and Uncertainty (77 citations), Neuropsychology and Physiological Psychology (25 citations), Applied Psychology (35 citations) and Management Science and Operations Research (72 citations). Frequent co-authors include Ernest A. Haggard, Guy E. Swanson, Bernard Kutner, Thomas S. Langner, David Fanshel, Richard T. Morris, John J. Corson and Alfred McClung Lee. Their work appears in journals such as The American Catholic Sociological Review.

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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