Chris Volinsky
Impact in
- Computational Mathematics top 0.5%
- Information Systems top 0.01%
- Recommender Systems and Techniques
Papers in
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- Advanced Graph Neural Networks 3
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- Recommender Systems and Techniques 6
- Data Mining Algorithms and Applications 4
- Co-authors
- Yehuda Koren (9 shared papers)Robert Bell (2 shared papers)Adrian E. Raftery (4 shared papers)David Madigan (3 shared papers)Jennifer A. Hoeting (2 shared papers)Yifan Hu (2 shared papers)Richard A. Becker (5 shared papers)Simon Urbanek (4 shared papers)
- Journals
- Statistical Science (2 papers)ACM Transactions on Knowledge Discovery from Data (1 paper)Computer (1 paper)IEEE Transactions on Speech and Audio Processing (1 paper)Journal of Clinical and Experimental Neuropsychology (1 paper)
- Partner nations
- United StatesHong KongNetherlands
In The Last Decade
Chris Volinsky
33 papers receiving 13.5k citations
Chris Volinsky's Hit Papers
Peers
Comparison fields: 5 of 204
- Computational Mathematics 214
- Information Systems 7.6k
- Transportation 1.2k
- Artificial Intelligence 5.6k
- Management Science and Operations Research 2.0k
Countries citing papers authored by Chris Volinsky
This map shows the geographic impact of Chris 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 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 Volinsky more than expected).
Fields of papers citing papers by Chris Volinsky
This network shows the impact of papers produced by Chris 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 Volinsky. The network helps show where Chris Volinsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris 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 | 7136 |
| 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 | 2994 |
| 3 | Collaborative Filtering for Implicit Feedback Datasets Hit paper breakdown → | 2008 | 1962 |
| 4 | 2007 | 228 | |
| 5 | 2000 | 220 | |
| 6 | 2013 | 206 | |
| 7 | 2011 | 206 | |
| 8 | 2003 | 201 | |
| 9 | 1997 | 162 | |
| 10 | 2000 | 121 | |
| 11 | The BellKor 2008 Solution to the Netflix Prize | 2007 | 90 |
| 12 | 2006 | 84 | |
| 13 | 1996 | 79 | |
| 14 | 2001 | 77 | |
| 15 | 1999 | 70 | |
| 16 | 2003 | 69 | |
| 17 | 2011 | 56 | |
| 18 | 2010 | 36 | |
| 19 | 2009 | 34 | |
| 20 | 2010 | 34 |
About Chris Volinsky
Chris Volinsky is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Computer Networks and Communications and Marketing, having authored 34 papers that have together received 14.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Recommender Systems and Techniques (6 papers), Data Mining Algorithms and Applications (4 papers), Statistical Methods and Bayesian Inference (4 papers), Statistical Methods and Inference (4 papers), Human Mobility and Location-Based Analysis (4 papers), Consumer Market Behavior and Pricing (4 papers) and Advanced Graph Neural Networks (3 papers). The work is most often cited by research in Computational Mathematics (214 citations), Information Systems (7.6k citations), Transportation (1.2k citations), Artificial Intelligence (5.6k citations) and Management Science and Operations Research (2.0k citations). Chris Volinsky has collaborated with scholars based in United States, Hong Kong and Netherlands. Frequent co-authors include Yehuda Koren, Robert Bell, Adrian E. Raftery, David Madigan, Jennifer A. Hoeting, Yifan Hu, Richard A. Becker, Simon Urbanek, Ji Meng Loh and Ramón Cáceres. Their work appears in journals such as Statistical Science, ACM Transactions on Knowledge Discovery from Data, Computer, IEEE Transactions on Speech and Audio Processing and Journal of Clinical and Experimental Neuropsychology.
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.