Bruce G. Lindsay

17.9k total citations · 5 hit papers
154 papers, 11.4k citations indexed

About

Bruce G. Lindsay is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Bruce G. Lindsay has authored 154 papers receiving a total of 11.4k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Statistics and Probability, 68 papers in Artificial Intelligence and 55 papers in Computer Networks and Communications. Recurrent topics in Bruce G. Lindsay's work include Bayesian Methods and Mixture Models (46 papers), Advanced Database Systems and Queries (46 papers) and Statistical Methods and Bayesian Inference (37 papers). Bruce G. Lindsay is often cited by papers focused on Bayesian Methods and Mixture Models (46 papers), Advanced Database Systems and Queries (46 papers) and Statistical Methods and Bayesian Inference (37 papers). Bruce G. Lindsay collaborates with scholars based in United States, India and Canada. Bruce G. Lindsay's co-authors include A. F. M. Smith, D. M. Titterington, Udi Makov, C. Mohan, Hamid Pirahesh, Marcel Dekker, K. E. Basford, Sridhar Rajagopalan, Gurmeet Singh Manku and Kathryn Roeder and has published in prestigious journals such as Journal of the American Statistical Association, Proceedings of the IEEE and Biometrics.

In The Last Decade

Bruce G. Lindsay

151 papers receiving 10.3k citations

Hit Papers

Statistical Analysis of Finite Mixture Distributions. 1987 2026 2000 2013 1987 1989 1995 1992 2006 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruce G. Lindsay United States 49 4.7k 4.0k 3.3k 1.4k 920 154 11.4k
Steffen L. Lauritzen Denmark 36 6.7k 1.4× 2.1k 0.5× 823 0.2× 1.3k 0.9× 588 0.6× 104 10.8k
Persi Diaconis United States 57 4.2k 0.9× 5.3k 1.3× 997 0.3× 560 0.4× 227 0.2× 232 14.0k
J. S. Marron United States 57 3.6k 0.8× 5.3k 1.3× 511 0.2× 585 0.4× 1.0k 1.1× 176 12.6k
Béla Bollobás United States 49 2.0k 0.4× 1.4k 0.4× 3.5k 1.1× 425 0.3× 290 0.3× 310 16.8k
Luc Devroye Canada 43 5.2k 1.1× 4.2k 1.1× 778 0.2× 1.1k 0.8× 226 0.2× 272 12.0k
Martin J. Wainwright United States 61 7.3k 1.6× 3.4k 0.9× 5.2k 1.6× 1.5k 1.1× 434 0.5× 232 18.7k
A. P. Dempster United States 24 4.1k 0.9× 2.6k 0.7× 548 0.2× 835 0.6× 453 0.5× 67 10.9k
J. Rissanen United States 40 7.2k 1.5× 1.3k 0.3× 1.4k 0.4× 2.8k 2.0× 645 0.7× 119 13.5k
Sheldon M. Ross United States 39 1.6k 0.3× 1.8k 0.4× 3.0k 0.9× 304 0.2× 518 0.6× 212 13.0k
Peter J. Brockwell United States 34 2.1k 0.5× 3.2k 0.8× 804 0.2× 1.2k 0.9× 263 0.3× 139 14.9k

Countries citing papers authored by Bruce G. Lindsay

Since Specialization
Citations

This map shows the geographic impact of Bruce G. Lindsay'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 Bruce G. Lindsay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruce G. Lindsay more than expected).

Fields of papers citing papers by Bruce G. Lindsay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruce G. Lindsay. 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 Bruce G. Lindsay. The network helps show where Bruce G. Lindsay may publish in the future.

Co-authorship network of co-authors of Bruce G. Lindsay

This figure shows the co-authorship network connecting the top 25 collaborators of Bruce G. Lindsay. A scholar is included among the top collaborators of Bruce G. Lindsay 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 Bruce G. Lindsay. Bruce G. Lindsay 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.
Wang, Qing & Bruce G. Lindsay. (2015). Improving cross-validated bandwidth selection using subsampling-extrapolation techniques. Computational Statistics & Data Analysis. 89. 51–71. 5 indexed citations
2.
Chung, Yeojin & Bruce G. Lindsay. (2014). Convergence of the EM algorithm for continuous mixing distributions. Statistics & Probability Letters. 96. 190–195. 6 indexed citations
3.
Reid, Nancy, Bruce G. Lindsay, & Kung Yee Liang. (2011). Statistica Sinica: Introduction to special issue. Statistica Sinica. 21(1). 1–3. 9 indexed citations
4.
Ray, Surajit, et al.. (2007). A Nonparametric Statistical Approach to Clustering via Mode Identification. Journal of Machine Learning Research. 8(59). 1687–1723. 123 indexed citations
5.
Lindsay, Bruce G., Marianthi Markatou, Surajit Ray, Ke Yang, & Shu‐Chuan Chen. (2007). Quadratic distances on probabilities: A unified foundation. 30 indexed citations
6.
Ray, Surajit & Bruce G. Lindsay. (2005). The topography of multivariate normal mixtures. The Annals of Statistics. 33(5). 95 indexed citations
7.
Mao, Chang Xuan & Bruce G. Lindsay. (2002). DIAGNOSTICS FOR THE HOMOGENEITY OF INCLUSION PROBABILITIES IN A BERNOULLI CENSUS. 64(3). 626–639. 10 indexed citations
8.
Lindsay, Bruce G. & Prasanta Basak. (2000). Moments Determine the Tail of a Distribution (But Not Much Else). The American Statistician. 54(4). 248–251. 39 indexed citations
9.
Deßloch, Stefan, et al.. (1999). Implementation of SQL3 Structured Types with Inheritance and Value Substitutability. Very Large Data Bases. 565–574. 7 indexed citations
10.
Lindsay, Bruce G.. (1995). DB2 Common Server: Technology, Progress, & Directions. Very Large Data Bases. 694–695.
11.
Bernstein, Philip A., David J. DeWitt, Dieter Gawlick, et al.. (1994). Future directions in DBMS research. Morgan Kaufmann Publishers Inc. eBooks. 911–920. 15 indexed citations
12.
Agrawal, Rakesh, Roberta Cochrane, & Bruce G. Lindsay. (1991). On Maintaining Priorities in a Production Rule System. Digital Repository at the University of Maryland (University of Maryland College Park). 479–487. 34 indexed citations
13.
Widom, Jennifer, Roberta Cochrane, & Bruce G. Lindsay. (1991). Implementing Set-Oriented Production Rules as an Extension to Starburst. Digital Repository at the University of Maryland (University of Maryland College Park). 275–285. 78 indexed citations
14.
Stonebraker, Michael, Lawrence A. Rowe, Bruce G. Lindsay, et al.. (1990). Third-Generation Database System Manifesto - The Committee for Advanced DBMS Function.. 495–511. 6 indexed citations
15.
Traiger, Irving L. & Bruce G. Lindsay. (1986). Guest Editors' Introduction to HPTS Papers in Database Engineering.. IEEE Data(base) Engineering Bulletin. 9. 1–2. 2 indexed citations
16.
Daniels, Dean, Patricia G. Selinger, Laura M. Haas, et al.. (1982). An Introduction to Distributed Query Compilation in R. 30(6). 291–309. 48 indexed citations
17.
Haas, Laura M., Patricia G. Selinger, Elisa Bertino, et al.. (1982). Research Direction in Query Optimization at the University of Maryland.. IEEE Data(base) Engineering Bulletin. 5. 28–32. 15 indexed citations
18.
Lindsay, Bruce G.. (1981). Site Autonomy Issues in R*: a Distributed Database Management System.. 68. 4 indexed citations
19.
Lindsay, Bruce G.. (1980). Nuisance parameters, mixture models, and the efficiency of partial likelihood estimators. Philosophical Transactions of the Royal Society of London Series A Mathematical and Physical Sciences. 296(1427). 639–662. 36 indexed citations
20.
Gardarin, Georges, et al.. (1980). Distributed database systems. Very Large Data Bases. 201–202. 1 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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