Thomas R. Trabasso
- Developmental and Educational Psychology top 10%
- Literature and Literary Theory top 5%
- Artificial Intelligence
- Education
- Cognitive Neuroscience
- Co-authors
- Gordon H. BowerRichard W. ThompsonDenis HiltonRobert C. CalfeeJohn SabatiniDominic W. MassaroNancy L. SteinBennett Leventhal
- Topics
- Advanced Text Analysis Techniques (2 papers)Themes in Literature Analysis (1 paper)Computational and Text Analysis Methods (1 paper)
- Cited by
- Developmental and Educational PsychologyLiterature and Literary TheoryExperimental and Cognitive Psychology
- Journals
- The American Journal of PsychologyJournal of Experimental Psychology
- Partner nations
- United StatesFrance
In The Last Decade
Thomas R. Trabasso
9 papers receiving 199 citations
Peers
Comparison fields: 5 of 72
- Developmental and Educational Psychology 72
- Literature and Literary Theory 61
- Artificial Intelligence 56
- Education 51
- Cognitive Neuroscience 32
Countries citing papers authored by Thomas R. Trabasso
This map shows the geographic impact of Thomas R. Trabasso'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 R. Trabasso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas R. Trabasso more than expected).
Fields of papers citing papers by Thomas R. Trabasso
This network shows the impact of papers produced by Thomas R. Trabasso. 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 R. Trabasso. The network helps show where Thomas R. Trabasso may publish in the future.
Co-authorship network of co-authors of Thomas R. Trabasso
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas R. Trabasso. A scholar is included among the top collaborators of Thomas R. Trabasso 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 Thomas R. Trabasso. Thomas R. Trabasso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 92 | |
| 4 | The study of causal explanation in natural language: Analysing reports of the Challenger disaster in "The New York Times." | 14 |
| 5 | 23 | |
| 6 | 45 | |
| 7 | 56 | |
| 8 | 22 | |
| 9 | 7 |
About Thomas R. Trabasso
Thomas R. Trabasso is a scholar working on General Social Sciences, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 9 papers that have together received 263 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (2 papers), Themes in Literature Analysis (1 paper) and Computational and Text Analysis Methods (1 paper). The work is most often cited by research in Developmental and Educational Psychology (72 citations), Literature and Literary Theory (61 citations) and Experimental and Cognitive Psychology (30 citations). Thomas R. Trabasso has collaborated with scholars based in United States and France. Frequent co-authors include Gordon H. Bower, Richard W. Thompson, Denis Hilton, Robert C. Calfee, John Sabatini, Dominic W. Massaro, Nancy L. Stein and Bennett Leventhal. Their work appears in journals such as The American Journal of Psychology and Journal of Experimental Psychology.
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.