Jay Magidson
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
Papers in
-
- Advanced Statistical Methods and Models 11
- Statistical Methods and Bayesian Inference 10
- Statistical Methods and Inference 5
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- Bayesian Methods and Mixture Models 10
- Advanced Clustering Algorithms Research 6
- Co-authors
- Jeroen Kornelis Vermunt (30 shared papers)Dag Sörbom (4 shared papers)Karl G. Jöreskog (2 shared papers)James Davis (2 shared papers)Leo A. Goodman (2 shared papers)Murray A. Aitkin (1 shared paper)Thomas D. Wickens (1 shared paper)William K. Oh (2 shared papers)
- Journals
- Journal of Marketing Research (5 papers)Sociological Methods & Research (2 papers)Educational Evaluation and Policy Analysis (2 papers)Structural Equation Modeling A Multidisciplinary Journal (2 papers)PLoS ONE (1 paper)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Jay Magidson
61 papers receiving 5.4k citations
Jay Magidson's Hit Papers
Peers
Comparison fields: 5 of 189
- Statistics and Probability 654
- Tourism, Leisure and Hospitality Management 86
- Marketing 396
- Experimental and Cognitive Psychology 454
- Clinical Psychology 687
Countries citing papers authored by Jay Magidson
This map shows the geographic impact of Jay Magidson'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 Jay Magidson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Magidson more than expected).
Fields of papers citing papers by Jay Magidson
This network shows the impact of papers produced by Jay Magidson. 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 Jay Magidson. The network helps show where Jay Magidson may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Magidson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Latent Class Cluster Analysis Hit paper breakdown → | 2002 | 1392 |
| 2 | Advances in factor analysis and structural equation models Hit paper breakdown → | 1979 | 696 |
| 3 | Latent class models for clustering : a comparison with K-means Hit paper breakdown → | 2002 | 640 |
| 4 | Latent Gold 4.0 User's Guide Hit paper breakdown → | 2005 | 562 |
| 5 | Technical Guide for Latent GOLD 5.1: Basic, Advanced, and Syntax 1 Hit paper breakdown → | 2016 | 340 |
| 6 | 2004 | 295 | |
| 7 | 2001 | 221 | |
| 8 | 2003 | 177 | |
| 9 | LG-Syntax user's guide: Manual for Latent GOLD 4.5 Syntax module | 2008 | 171 |
| 10 | 1980 | 153 | |
| 11 | 2012 | 93 | |
| 12 | Latent class models in longitudinal research | 2007 | 73 |
| 13 | A nontechnical introduction to latent class models | 2005 | 69 |
| 14 | 2020 | 66 | |
| 15 | SPSS for Windows : CHAID, release 6.0 | 1993 | 65 |
| 16 | 1977 | 59 | |
| 17 | 1992 | 56 | |
| 18 | 2014 | 55 | |
| 19 | 1981 | 54 | |
| 20 | Factor Analysis with Categorical Indicators: A Comparison Between Traditional and Latent Class Approaches | 2013 | 52 |
About Jay Magidson
Jay Magidson is a scholar working on Statistics and Probability, Artificial Intelligence, Food Science, Management Science and Operations Research and Marketing, having authored 63 papers that have together received 5.9k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (11 papers), Bayesian Methods and Mixture Models (10 papers), Statistical Methods and Bayesian Inference (10 papers), Advanced Clustering Algorithms Research (6 papers), Economic and Environmental Valuation (5 papers), Sensory Analysis and Statistical Methods (5 papers), Statistical Methods and Inference (5 papers) and Face and Expression Recognition (4 papers). The work is most often cited by research in Statistics and Probability (654 citations), Tourism, Leisure and Hospitality Management (86 citations), Marketing (396 citations), Experimental and Cognitive Psychology (454 citations) and Clinical Psychology (687 citations). Jay Magidson has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Jeroen Kornelis Vermunt, Dag Sörbom, Karl G. Jöreskog, James Davis, Leo A. Goodman, Murray A. Aitkin, Thomas D. Wickens, William K. Oh, Philip W. Kantoff and Leah Katz. Their work appears in journals such as Journal of Marketing Research, Sociological Methods & Research, Educational Evaluation and Policy Analysis, Structural Equation Modeling A Multidisciplinary Journal and PLoS ONE.
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.