Applications of Latent Trait and Latent Class Models in the Social Sciences1998 · 372 citations
What are hit papers?
Paper score: A paper's citations measured against the top-1% bar of its own field and year: the square root of citations ÷ bar, so 1 means right at the bar and 2 means four times its citations. The bar blends the citation counts that enter the top 1% of the paper's subfields in its year (weighted 89.5%), of those subfields over all years (0.5%) and of its year across all fields (10%); a subfield and year with fewer than 400 papers takes its year's bar. Papers from 2026 are not scored yet: in an unfinished year, when a paper appeared matters more than how it is cited.
Hit paper: A paper cited at least 1.5× the top-1% bar of its field and year: a paper score of at least √1.5.
1998Journal of the American Statistical Association
This map shows the geographic impact of SW'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 SW with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SW more than expected).
This network shows the impact of papers produced by SW. 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 SW. The network helps show where SW may publish in the future.
Co-authors
The 11 scholars most cited alongside SW, 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 SWLine = papers co-authored togetherSW links everyone, so they are left out of the graph.
All Works
9 of 9 papers shown
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Work
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Applications of Latent Trait and Latent Class Models in the Social Sciences
SW is a scholar working on General Social Sciences, Software, Management Information Systems, Artificial Intelligence and Management Science and Operations Research, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Text and Document Classification Technologies (1 paper), Network Traffic and Congestion Control (1 paper), Computational and Text Analysis Methods (1 paper), Advanced Queuing Theory Analysis (1 paper), Distributed systems and fault tolerance (1 paper), Model-Driven Software Engineering Techniques (1 paper), Simulation Techniques and Applications (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Statistics and Probability (113 citations), Management Science and Operations Research (159 citations), Artificial Intelligence (282 citations), Experimental and Cognitive Psychology (79 citations) and Developmental and Educational Psychology (76 citations). Frequent co-authors include Eugene Charniak, Rolf Langeheine, Jürgen Rost, Barry J. Everitt, Andrew R. Pickles, Paul Glasserman, Karl Sigman, Paul E. Green, Anil K. Chaturvedi and David D. Yao. Their work appears in journals such as Journal of the American Statistical Association.
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