Matthew J. Schneider
- Sociology and Political Science top 5%
- Marketing top 5%
- Artificial Intelligence top 10%
- Clinical Psychology top 10%
- Social Psychology top 10%
- Co-authors
- Dawn IacobucciDeidre PopovichFrank R. KardesSteven S. PosavacGeorgios A. BakamitsosJames M. ReecyRichard G. TaitW. Darrell Busby
- Topics
- Advanced Statistical Methods and Models (8 papers)Privacy-Preserving Technologies in Data (6 papers)Privacy, Security, and Data Protection (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsJournal of Animal Science
- Partner nations
- United StatesPhilippinesLithuania
In The Last Decade
Matthew J. Schneider
33 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Sociology and Political Science 449
- Marketing 248
- Artificial Intelligence 179
- Clinical Psychology 177
- Social Psychology 169
Countries citing papers authored by Matthew J. Schneider
This map shows the geographic impact of Matthew J. Schneider'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 J. Schneider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Schneider more than expected).
Fields of papers citing papers by Matthew J. Schneider
This network shows the impact of papers produced by Matthew J. Schneider. 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 J. Schneider. The network helps show where Matthew J. Schneider may publish in the future.
Co-authorship network of co-authors of Matthew J. Schneider
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Schneider. A scholar is included among the top collaborators of Matthew J. Schneider based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew J. Schneider. Matthew J. Schneider is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 22 | |
| 7 | Mean Centering, Multicollinearity, and Moderators in Multiple Regression: The Reconciliation Redux | 0 |
| 8 | Mean Centering Helps Alleviate 'Micro' But Not 'Macro' Multicollinearity | 4 |
| 9 | 95 | |
| 10 | 17 | |
| 11 | 296 | |
| 12 | 10 | |
| 13 | 263 | |
| 14 | 6 | |
| 15 | 3 | |
| 16 | Navy Network Dependability: Models, Metrics, and Tools | 3 |
| 17 | 154 | |
| 18 | 0 | |
| 19 | 80 | |
| 20 | Card-playing and the Marriage Gamble in Pride and Prejudice | 0 |
About Matthew J. Schneider
Matthew J. Schneider is a scholar working on Computational Mathematics, Statistics and Probability and Management Science and Operations Research, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (8 papers), Privacy-Preserving Technologies in Data (6 papers) and Privacy, Security, and Data Protection (4 papers). The work is most often cited by research in Marketing (248 citations), Microbiology (128 citations) and Applied Psychology (84 citations). Matthew J. Schneider has collaborated with scholars based in United States, Philippines and Lithuania. Frequent co-authors include Dawn Iacobucci, Deidre Popovich, Frank R. Kardes, Steven S. Posavac, Georgios A. Bakamitsos, James M. Reecy, Richard G. Tait, W. Darrell Busby, Quint C. Thurman and Abhijit Guha. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of Animal Science.
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.