Chris Volinsky

22.3k total citations · 3 hit papers
34 papers, 14.1k citations indexed

About

Chris Volinsky is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Chris Volinsky has authored 34 papers receiving a total of 14.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Information Systems and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Chris Volinsky's work include Complex Network Analysis Techniques (7 papers), Recommender Systems and Techniques (6 papers) and Statistical Methods and Bayesian Inference (4 papers). Chris Volinsky is often cited by papers focused on Complex Network Analysis Techniques (7 papers), Recommender Systems and Techniques (6 papers) and Statistical Methods and Bayesian Inference (4 papers). Chris Volinsky collaborates with scholars based in United States, Netherlands and Hong Kong. Chris Volinsky's co-authors include Yehuda Koren, Robert Bell, Adrian E. Raftery, David Madigan, Jennifer A. Hoeting, Yifan Hu, Richard A. Becker, Simon Urbanek, Ramón Cáceres and Alexander Varshavsky and has published in prestigious journals such as Technometrics, Biometrics and Communications of the ACM.

In The Last Decade

Chris Volinsky

33 papers receiving 13.4k citations

Hit Papers

Matrix Factorization Techniques for Recommender Systems 1999 2026 2008 2017 2009 1999 2008 2.0k 4.0k 6.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Matrix Factorization Techniques for Recommender Systems
    2009 7.0k citations Yehuda Koren, Robert Bell et al. Computer profile →
  2. Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors
    1999 3.0k citations David Madigan, Adrian E. Raftery et al. profile →
  3. Collaborative Filtering for Implicit Feedback Datasets
    2008 1.9k citations Yifan Hu, Yehuda Koren et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chris Volinsky United States 24 7.5k 5.6k 2.7k 2.0k 1.4k 34 14.1k
Padhraic Smyth United States 62 4.6k 0.6× 8.3k 1.5× 1.9k 0.7× 904 0.5× 1.6k 1.1× 271 17.6k
John Lafferty United States 54 5.3k 0.7× 17.5k 3.1× 5.9k 2.2× 1.1k 0.6× 1.1k 0.8× 178 26.1k
Lior Rokach Israel 51 4.1k 0.5× 7.2k 1.3× 2.1k 0.8× 998 0.5× 2.1k 1.5× 283 16.7k
Ron Kohavi United States 36 4.2k 0.6× 9.6k 1.7× 3.6k 1.3× 1.2k 0.6× 1.6k 1.1× 66 21.8k
Micheline Kamber Canada 15 5.5k 0.7× 7.0k 1.2× 1.8k 0.6× 797 0.4× 1.8k 1.3× 20 15.0k
Tie‐Yan Liu China 50 4.6k 0.6× 9.2k 1.6× 3.6k 1.3× 1.8k 0.9× 1.3k 0.9× 258 18.9k
Foster Provost United States 48 2.8k 0.4× 7.0k 1.2× 989 0.4× 1.5k 0.8× 863 0.6× 172 12.1k
William W. Cohen United States 51 5.0k 0.7× 11.9k 2.1× 3.3k 1.2× 2.5k 1.3× 1.8k 1.3× 276 18.1k
Michael J. Pazzani United States 43 4.8k 0.6× 7.0k 1.2× 2.5k 0.9× 849 0.4× 1.6k 1.1× 134 14.1k
Alexander J. Smola United States 42 2.5k 0.3× 11.8k 2.1× 8.8k 3.2× 998 0.5× 1.3k 0.9× 100 25.2k

Countries citing papers authored by Chris Volinsky

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Chris Volinsky

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Volinsky. A scholar is included among the top collaborators of Chris Volinsky 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 Chris Volinsky. Chris Volinsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Eliassi‐Rad, Tina, et al.. (2014). Threatening Privacy across Social Graphs: A Structural Features Approach. 74. 554–561. 1 indexed citations
2.
Becker, Richard A., Ramón Cáceres, Ji Meng Loh, et al.. (2011). A Tale of One City: Using Cellular Network Data for Urban Planning. IEEE Pervasive Computing. 10(4). 18–26. 205 indexed citations
3.
Becker, Richard A., Chris Volinsky, & Allan R. Wilks. (2010). Fraud Detection in Telecommunications: History and Lessons Learned. Technometrics. 52(1). 20–33. 7 indexed citations
4.
Bell, Robert M., Yehuda Koren, & Chris Volinsky. (2010). All Together Now: A Perspective on the Netflix Prize. CHANCE. 23(1). 24–29. 36 indexed citations
5.
Koren, Yehuda, Robert Bell, & Chris Volinsky. (2009). Matrix Factorization Techniques for Recommender Systems. Computer. 42(8). 30–37. 7025 indexed citations breakdown →
6.
Bennett, James, et al.. (2009). The million dollar programming prize. IEEE Spectrum. 46(5). 28–33. 32 indexed citations
7.
Hu, Yifan, Yehuda Koren, & Chris Volinsky. (2008). Collaborative Filtering for Implicit Feedback Datasets. 263–272. 1945 indexed citations breakdown →
8.
Hill, Shawndra, Foster Provost, & Chris Volinsky. (2007). Learning and Inference in Massive Social Networks. The Faculty Digital Archive (New York University). 95(3). 501–14. 12 indexed citations
9.
Bell, Robert M., Yehuda Koren, & Chris Volinsky. (2007). The BellKor 2008 Solution to the Netflix Prize. 88 indexed citations
10.
Bell, Robert, Yehuda Koren, & Chris Volinsky. (2007). Modeling relationships at multiple scales to improve accuracy of large recommender systems. 95–104. 227 indexed citations
11.
Koren, Yehuda, Stephen C. North, & Chris Volinsky. (2006). Measuring and extracting proximity in networks. 245–255. 83 indexed citations
12.
Hill, Shawndra, Foster Provost, & Chris Volinsky. (2005). Viral Marketing: Identifying Likely Adopters Via Consumer Networks. The Faculty Digital Archive (New York University). 3 indexed citations
13.
Hill, Shawndra, Deepak Agarwal, Robert B. Bell, & Chris Volinsky. (2005). Tuning representations of dynamic network data. 25–27.
14.
Cortes, Corinna, Daryl Pregibon, & Chris Volinsky. (2003). Computational Methods for Dynamic Graphs. Journal of Computational and Graphical Statistics. 12(4). 950–970. 69 indexed citations
15.
Wintle, Brendan A., Michael A. McCarthy, Chris Volinsky, & Rodney P. Kavanagh. (2003). The Use of Bayesian Model Averaging to Better Represent Uncertainty in Ecological Models. Conservation Biology. 17(6). 1579–1590. 201 indexed citations
16.
Cortes, Corinna, Daryl Pregibon, & Chris Volinsky. (2002). Communities of interest. Intelligent Data Analysis. 6(3). 211–219. 19 indexed citations
17.
Millis, Scott R. & Chris Volinsky. (2001). Assessment of Response Bias in Mild Head Injury: Beyond Malingering Tests. Journal of Clinical and Experimental Neuropsychology. 23(6). 809–828. 76 indexed citations
18.
Volinsky, Chris & Adrian E. Raftery. (2000). Bayesian Information Criterion for Censored Survival Models. Biometrics. 56(1). 256–262. 221 indexed citations
19.
Volinsky, Chris, David Madigan, Adrian E. Raftery, & Richard A. Kronmal. (1997). Bayesian Model Averaging in Proportional Hazard Models: Assessing the Risk of a Stroke. Journal of the Royal Statistical Society Series C (Applied Statistics). 46(4). 433–448. 163 indexed citations
20.
Madigan, David, Steen A. Andersson, Michael D. Perlman, & Chris Volinsky. (1996). Bayesian model averaging and model selection for markov equivalence classes of acyclic digraphs. Communication in Statistics- Theory and Methods. 25(11). 2493–2519. 78 indexed citations

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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