Chris T. Volinsky
Impact in
- Computational Mathematics top 0.5%
- Information Systems top 0.01%
- Recommender Systems and Techniques
Papers in
-
- Recommender Systems and Techniques 6
- Data Mining Algorithms and Applications 3
-
- Complex Network Analysis Techniques 7
- Co-authors
- Yehuda Koren (9 shared papers)Robert Bell (2 shared papers)Adrian E. Raftery (4 shared papers)David Madigan (4 shared papers)Yifan Hu (2 shared papers)Jennifer A. Hoeting (1 shared paper)Corinna Cortes (4 shared papers)Daryl Pregibon (4 shared papers)
- Journals
- Conservation Biology (1 paper)IEEE Pervasive Computing (1 paper)Communications of the ACM (1 paper)Technometrics (1 paper)Statistical Science (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Chris T. Volinsky
34 papers receiving 15.6k citations
Chris T. Volinsky's Hit Papers
Peers
Comparison fields: 5 of 205
- Computational Mathematics 240
- Information Systems 9.0k
- Transportation 1.4k
- Artificial Intelligence 6.7k
- Management Science and Operations Research 2.3k
Countries citing papers authored by Chris T. Volinsky
This map shows the geographic impact of Chris T. Volinsky'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 Chris T. Volinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris T. Volinsky more than expected).
Fields of papers citing papers by Chris T. Volinsky
This network shows the impact of papers produced by Chris T. Volinsky. 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 Chris T. Volinsky. The network helps show where Chris T. Volinsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris T. Volinsky, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Matrix Factorization Techniques for Recommender Systems Hit paper breakdown → | 2009 | 8354 |
| 2 | Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors Hit paper breakdown → | 1999 | 3142 |
| 3 | Collaborative Filtering for Implicit Feedback Datasets Hit paper breakdown → | 2008 | 2373 |
| 4 | 2007 | 265 | |
| 5 | 2013 | 234 | |
| 6 | 2011 | 222 | |
| 7 | 2000 | 221 | |
| 8 | 2003 | 215 | |
| 9 | 1997 | 166 | |
| 10 | 2001 | 153 | |
| 11 | The BellKor 2008 Solution to the Netflix Prize | 2007 | 99 |
| 12 | 2006 | 97 | |
| 13 | 1999 | 96 | |
| 14 | 1996 | 91 | |
| 15 | 2001 | 83 | |
| 16 | 2003 | 83 | |
| 17 | 2011 | 59 | |
| 18 | 1996 | 52 | |
| 19 | 2009 | 45 | |
| 20 | 2009 | 40 |
About Chris T. Volinsky
Chris T. Volinsky is a scholar working on Information Systems, Statistical and Nonlinear Physics, Statistics and Probability, Artificial Intelligence and Transportation, having authored 34 papers that have together received 16.4k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Recommender Systems and Techniques (6 papers), Human Mobility and Location-Based Analysis (4 papers), Statistical Methods and Inference (4 papers), Consumer Market Behavior and Pricing (4 papers), Image Retrieval and Classification Techniques (3 papers), Statistical Methods and Bayesian Inference (3 papers) and Data Mining Algorithms and Applications (3 papers). The work is most often cited by research in Computational Mathematics (240 citations), Information Systems (9.0k citations), Transportation (1.4k citations), Artificial Intelligence (6.7k citations) and Management Science and Operations Research (2.3k citations). Chris T. Volinsky has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Yehuda Koren, Robert Bell, Adrian E. Raftery, David Madigan, Yifan Hu, Jennifer A. Hoeting, Corinna Cortes, Daryl Pregibon, Richard A. Becker and Simon Urbanek. Their work appears in journals such as Conservation Biology, IEEE Pervasive Computing, Communications of the ACM, Technometrics and Statistical 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.