Jay Magidson

66 papers receiving 5.4k citations

Jay Magidson's Hit Papers

Technical Guide for Latent GOLD 5.1: Basic, Advanced, and Syntax 1 2016 · 338 citations
3380+15+31Years since publication4008001.2k

Peers

Jay Magidson
Comparison fields: 5 of 189
  • Statistics and Probability 679
  • Tourism, Leisure and Hospitality Management 87
  • Marketing 409
  • Experimental and Cognitive Psychology 462
  • Clinical Psychology 689
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Arthur S. Goldberger United States
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Citations per year

Countries citing papers authored by Jay Magidson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jay Magidson Line = papers co-authored together Jay Magidson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Latent Class Cluster Analysis
Hit paper breakdown →
20021398
2
Advances in factor analysis and structural equation models
Hit paper breakdown →
1979710
3
Latent class models for clustering : a comparison with K-means
Hit paper breakdown →
2002637
4
Latent Gold 4.0 User's Guide
Hit paper breakdown →
2005567
5
Technical Guide for Latent GOLD 5.1: Basic, Advanced, and Syntax 1
Hit paper breakdown →
2016338
6 2004289
7 2001229
8
LG-Syntax user's guide: Manual for Latent GOLD 4.5 Syntax module
2008175
9 2003173
10 1980155
11 201287
12
Factor Analysis with Categorical Indicators: A Comparison Between Traditional and Latent Class Approaches
200583
13
Latent class models in longitudinal research
200775
14
A nontechnical introduction to latent class models
200569
15
SPSS for Windows : CHAID, release 6.0
199366
16 197760
17 202058
18 198156
19 199255
20 201453

About Jay Magidson

Jay Magidson is a scholar working on Statistics and Probability, Artificial Intelligence, Molecular Biology, Information Systems and Economics and Econometrics, having authored 68 papers that have together received 5.9k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (11 papers), Bayesian Methods and Mixture Models (11 papers), Advanced Statistical Methods and Models (11 papers), Advanced Clustering Algorithms Research (7 papers), Economic and Environmental Valuation (5 papers), Statistical Methods and Inference (5 papers), Sensory Analysis and Statistical Methods (5 papers) and Data Mining Algorithms and Applications (4 papers). The work is most often cited by research in Statistics and Probability (679 citations), Tourism, Leisure and Hospitality Management (87 citations), Marketing (409 citations), Experimental and Cognitive Psychology (462 citations) and Clinical Psychology (689 citations). Jay Magidson has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Jeroen K. Vermunt, Dag Sörbom, Karl G. Jöreskog, Leo A. Goodman, James Davis, Murray Aitkin, Thomas D. Wickens, William Oh, Philip W. Kantoff and Gwo‐Shu Mary Lee. Their work appears in journals such as Journal of Marketing Research, Sociological Methods & Research, Educational Evaluation and Policy Analysis, Journal of Clinical Oncology 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.

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