Jay Magidson
- Statistics and Probability top 0.5%
- Statistical Methods and Bayesian Inference 10
- Advanced Statistical Methods and Models 9
- Statistical Methods and Inference 5
- Marketing top 2%
- Clinical Psychology top 5%
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- Bayesian Methods and Mixture Models 9
- Advanced Clustering Algorithms Research 5
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- Economic and Environmental Valuation 4
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- Data Mining Algorithms and Applications 3
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- Gene expression and cancer classification 3
- Co-authors
- Jeroen K. VermuntDag SörbomKarl G. JöreskogLeo A. GoodmanJames DavisMurray AitkinThomas D. WickensWilliam Oh
- Journals
- Journal of Marketing Research (5 papers)Educational Evaluation and Policy Analysis (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- United StatesNetherlandsNepal
In The Last Decade
Jay Magidson
56 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Statistics and Probability 503
- Tourism, Leisure and Hospitality Management 64
- Marketing 290
- Clinical Psychology 508
- Experimental and Cognitive Psychology 314
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 50 | |
| 2 | 2018 | 12 | |
| 3 | 2014 | 31 | |
| 4 | 2014 | 51 | |
| 5 | 2013 | 1 | |
| 6 | 2011 | 37 | |
| 7 | A new model for the fusion of maxdiff scaling and ratings data | 2009 | 7 |
| 8 | 2009 | 1 | |
| 9 | Structural equation models: Mixture models | 2005 | 12 |
| 10 | Latent Gold 4.0: A general program for the analysis of categorical data | 2005 | 0 |
| 11 | Hierarchical Mixture Models for Nested Data Structures. | 2004 | 2 |
| 12 | Application of latent class models to food product development: a case study | 2004 | 14 |
| 13 | New developments in latent class choice modeling | 2003 | 13 |
| 14 | Latent class models forclassi%cation | 2003 | 1 |
| 15 | SPSS for Windows : CHAID, release 6.0 | 1993 | 59 |
| 16 | 1991 | 1 | |
| 17 | Reforming schools : problems in program implementation and evaluation | 1980 | 6 |
| 18 | Advances in factor analysis and structural equation modelsbreakdown → | 1979 | 650 |
| 19 | 1978 | 6 | |
| 20 | 1967 | 2 |
About Jay Magidson
Jay Magidson is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Software and Marketing, having authored 61 papers that have together received 3.9k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (10 papers), Bayesian Methods and Mixture Models (9 papers), Advanced Statistical Methods and Models (9 papers), Advanced Clustering Algorithms Research (5 papers), Statistical Methods and Inference (5 papers), Economic and Environmental Valuation (4 papers), Data Mining Algorithms and Applications (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Statistics and Probability (503 citations), Tourism, Leisure and Hospitality Management (64 citations), Marketing (290 citations), Clinical Psychology (508 citations) and Experimental and Cognitive Psychology (314 citations). Jay Magidson has collaborated with scholars based in United States, Netherlands and Nepal. Frequent co-authors include Jeroen K. Vermunt, Dag Sörbom, Karl G. Jöreskog, Leo A. Goodman, James Davis, Murray Aitkin, Thomas D. Wickens, William Oh, Matthew D. Galsky and Aseem Anand. Their work appears in journals such as Journal of Marketing Research, Educational Evaluation and Policy Analysis, Journal of Clinical Oncology, Sociological Methods & Research and Structural Equation Modeling A Multidisciplinary Journal.
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.