Matthew Goldstein
Impact in
- Statistics and Probability top 1%
- Advanced Statistical Methods and Models
- Statistical Methods and Applications
- Software top 5%
- Software Reliability and Analysis Research
Papers in
-
- Advanced Statistical Methods and Models 9
- Statistical Methods and Inference 3
-
- Advanced Statistical Process Monitoring 3
- Co-authors
- William R. DillonDavid M. LevineMark L. BerensonDennis W. RoncekLeon G. SchiffmanJ. Edward JacksonJames CarlsonHolbrook E. Kohrt
- Journals
- Journal of the American Statistical Association (7 papers)Journal of Marketing Research (4 papers)Journal of Applied Probability (2 papers)Multivariate Behavioral Research (2 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Matthew Goldstein
25 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 208
- Statistics and Probability 297
- Software 123
- Marketing 191
- Developmental Biology 44
- Organizational Behavior and Human Resource Management 199
Countries citing papers authored by Matthew Goldstein
This map shows the geographic impact of Matthew Goldstein'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 Matthew Goldstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Goldstein more than expected).
Fields of papers citing papers by Matthew Goldstein
This network shows the impact of papers produced by Matthew Goldstein. 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 Matthew Goldstein. The network helps show where Matthew Goldstein may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Matthew Goldstein, 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 | 2012 | 19 | |
| 2 | 1986 | 15 | |
| 3 | Multivariate Analysis-Methods and Applications. Hit paper breakdown → | 1985 | 781 |
| 4 | 1984 | 16 | |
| 5 | 1981 | 9 | |
| 6 | 1979 | 125 | |
| 7 | 1978 | 28 | |
| 8 | 1978 | 12 | |
| 9 | 1978 | 7 | |
| 10 | 1977 | 7 | |
| 11 | 1977 | 1 | |
| 12 | 1977 | 16 | |
| 13 | 1976 | 2 | |
| 14 | 1976 | 10 | |
| 15 | 1975 | 8 | |
| 16 | 1975 | 5 | |
| 17 | 1975 | 1 | |
| 18 | 1975 | 3 | |
| 19 | 1974 | 3 | |
| 20 | 1974 | 1 |
About Matthew Goldstein
Matthew Goldstein is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Numerical Analysis, Marketing and Applied Mathematics, having authored 25 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (9 papers), Bayesian Methods and Mixture Models (3 papers), Statistical Methods and Inference (3 papers), Advanced Statistical Process Monitoring (3 papers), Consumer Market Behavior and Pricing (3 papers), Mathematical Approximation and Integration (2 papers), Multi-Criteria Decision Making (2 papers) and Mathematical Inequalities and Applications (2 papers). The work is most often cited by research in Statistics and Probability (297 citations), Software (123 citations), Marketing (191 citations), Developmental Biology (44 citations) and Organizational Behavior and Human Resource Management (199 citations). Matthew Goldstein has collaborated with scholars based in United States and France. Frequent co-authors include William R. Dillon, David M. Levine, Mark L. Berenson, Dennis W. Roncek, Leon G. Schiffman, J. Edward Jackson, James Carlson, Holbrook E. Kohrt, Jack T. Lin and Roch Houot. Their work appears in journals such as Journal of the American Statistical Association, Journal of Marketing Research, Journal of Applied Probability, Multivariate Behavioral Research and Journal of the Royal Statistical Society Series C (Applied Statistics).
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.