David S. Tait

305 total papers · 1.3k total citations
72 papers, 763 citations indexed

About

David S. Tait is a scholar working on Law, Sociology and Political Science and Clinical Psychology. According to data from OpenAlex, David S. Tait has authored 72 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Law, 15 papers in Sociology and Political Science and 12 papers in Clinical Psychology. Recurrent topics in David S. Tait's work include Law in Society and Culture (15 papers), Jury Decision Making Processes (14 papers) and Legal Education and Practice Innovations (11 papers). David S. Tait is often cited by papers focused on Law in Society and Culture (15 papers), Jury Decision Making Processes (14 papers) and Legal Education and Practice Innovations (11 papers). David S. Tait collaborates with scholars based in Australia, United Kingdom and United States. David S. Tait's co-authors include Terry Carney, Shahid Alvi, Martin D. Schwartz, Walter S. DeKeseredy, Meredith Rossner, Stephen Touyz, Jane Goodman‐Delahunty, Katherine Gibson, Martha L. McCurdy and Kenneth Polk and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Intellectual Disability Research and Law and Human Behavior.

In The Last Decade

David S. Tait

61 papers receiving 666 citations

Author Peers

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

Author						Papers	Cites
David S. Tait	277	224	128	118	104	72	763
Jeffrey E. Pfeifer	383 1.4×	153 0.7×	158 1.2×	212 1.8×	49 0.5×	48	712
Robert J. Homant	428 1.5×	349 1.6×	111 0.9×	23 0.2×	185 1.8×	56	828
Paul H. Robinson	318 1.1×	198 0.9×	21 0.2×	111 0.9×	39 0.4×	68	743
Elizabeth M. Schneider	252 0.9×	119 0.5×	170 1.3×	74 0.6×	176 1.7×	68	647
James D. Orcutt	473 1.7×	137 0.6×	104 0.8×	24 0.2×	52 0.5×	45	846
Daniel B. Kennedy	363 1.3×	237 1.1×	107 0.8×	21 0.2×	158 1.5×	47	632
Myron Boor	153 0.6×	281 1.3×	41 0.3×	20 0.2×	121 1.2×	57	739
Geoffrey Samuel	344 1.2×	130 0.6×	26 0.2×	129 1.1×	35 0.3×	106	892
James M. Donovan	165 0.6×	298 1.3×	46 0.4×	28 0.2×	53 0.5×	83	888
Wendy Larcombe	145 0.5×	365 1.6×	124 1.0×	114 1.0×	58 0.6×	36	908

Countries citing papers authored by David S. Tait

Since Specialization

Citations

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

Fields of papers citing papers by David S. Tait

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David S. Tait

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Tait. A scholar is included among the top collaborators of David S. Tait 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 S. Tait. David S. Tait is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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