Richard A. Redner

3.5k total citations · 1 hit paper
25 papers, 2.4k citations indexed

About

Richard A. Redner is a scholar working on Statistics and Probability, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, Richard A. Redner has authored 25 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 8 papers in Ocean Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Richard A. Redner's work include Bayesian Methods and Mixture Models (8 papers), Reservoir Engineering and Simulation Methods (8 papers) and Statistical Methods and Inference (6 papers). Richard A. Redner is often cited by papers focused on Bayesian Methods and Mixture Models (8 papers), Reservoir Engineering and Simulation Methods (8 papers) and Statistical Methods and Inference (6 papers). Richard A. Redner collaborates with scholars based in United States, Brazil and Netherlands. Richard A. Redner's co-authors include Homer F. Walker, Samuel P. Uselton, Albert C. Reynolds, Kevin A. O’Neil, Z. Schmidt, D. R. Doty, Dean S. Oliver, L. G. Thompson, James C. Bezdek and Richard J. Hathaway and has published in prestigious journals such as ACM Transactions on Graphics, The Annals of Statistics and SIAM Review.

In The Last Decade

Richard A. Redner

24 papers receiving 2.2k citations

Hit Papers

Mixture Densities, Maximum Likelihood and the EM Algorithm 1984 2026 1998 2012 1984 500 1000 1.5k
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. Mixture Densities, Maximum Likelihood and the EM Algorithm
    1984 1.9k citations Richard A. Redner, Homer F. Walker SIAM Review profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard A. Redner United States 14 1.1k 599 582 320 181 25 2.4k
Frank Nielsen Japan 26 805 0.7× 1.1k 1.8× 267 0.5× 241 0.8× 298 1.6× 161 3.1k
Edward J. Wegman United States 23 761 0.7× 528 0.9× 824 1.4× 422 1.3× 35 0.2× 114 2.8k
Marco Cuturi France 19 934 0.8× 885 1.5× 268 0.5× 208 0.7× 75 0.4× 45 2.6k
Y.P. Chien United States 11 1.2k 1.1× 1.1k 1.9× 111 0.2× 373 1.2× 242 1.3× 30 2.8k
L.D. Hostetler United States 10 882 0.8× 1.2k 2.1× 116 0.2× 202 0.6× 322 1.8× 16 2.6k
Pierre A. Devijver Belgium 10 1.2k 1.1× 979 1.6× 150 0.3× 340 1.1× 223 1.2× 24 2.5k
Richard Nock France 21 999 0.9× 886 1.5× 111 0.2× 142 0.4× 277 1.5× 101 2.2k
Thomas P. Minka United States 24 1.8k 1.6× 2.4k 4.0× 423 0.7× 450 1.4× 336 1.9× 40 4.9k
K. S. Fu United States 24 970 0.8× 1.3k 2.2× 63 0.1× 261 0.8× 266 1.5× 91 2.7k
Alex Kulesza United States 20 3.0k 2.6× 1.3k 2.1× 192 0.3× 252 0.8× 126 0.7× 40 4.1k

Countries citing papers authored by Richard A. Redner

Since Specialization
Citations

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

Fields of papers citing papers by Richard A. Redner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard A. Redner. 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 Richard A. Redner. The network helps show where Richard A. Redner may publish in the future.

Co-authorship network of co-authors of Richard A. Redner

This figure shows the co-authorship network connecting the top 25 collaborators of Richard A. Redner. A scholar is included among the top collaborators of Richard A. Redner 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 Richard A. Redner. Richard A. Redner 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.
Redner, Richard A., et al.. (2005). Convergence rates for uniform B-spline density estimators on bounded and semi-infinite domains. Journal of nonparametric statistics. 17(5). 555–582. 7 indexed citations
2.
Malley, James D., Richard A. Redner, Thomas A. Severini, et al.. (2003). Estimation of Linkage and Association from Allele Transmission Data. Biometrical Journal. 45(3). 349–366. 3 indexed citations
3.
Redner, Richard A.. (2000). Convergence rates for uniform b-spline density estimators part ii: multiple dimensions. Journal of nonparametric statistics. 12(6). 753–777. 2 indexed citations
4.
Redner, Richard A.. (1999). Convergence Rates for Uniform B-Spline Density Estimators Part I: One Dimension. SIAM Journal on Scientific Computing. 20(6). 1929–1953. 13 indexed citations
5.
6.
Oliver, Dean S., et al.. (1996). A Hybrid Markov Chain Monte Carlo Method for Generating Permeability Fields Conditioned to Multiwell Pressure Data and Prior Information. SPE Annual Technical Conference and Exhibition. 5 indexed citations
7.
Thompson, L. G., et al.. (1996). Simple Procedures for Imposing Constraints for Nonlinear Least Squares Optimization. SPE Journal. 1(4). 395–402. 10 indexed citations
8.
Redner, Richard A., et al.. (1995). Smooth B-spline illumination maps for bidirectional ray tracing. ACM Transactions on Graphics. 14(4). 337–362. 9 indexed citations
9.
Redner, Richard A., et al.. (1994). Function estimation using partitions of unity. Communication in Statistics- Theory and Methods. 23(7). 2059–2078. 8 indexed citations
10.
O’Neil, Kevin A. & Richard A. Redner. (1993). Asymptotic Distributions of Weighted $U$-Statistics of Degree 2. The Annals of Probability. 21(2). 23 indexed citations
11.
O’Neil, Kevin A. & Richard A. Redner. (1992). Limiting cumulants of U-statistics. Applied Mathematics Letters. 5(2). 37–40. 1 indexed citations
12.
Redner, Richard A., et al.. (1992). Robust Procedures for Parameter Estimation by Automated Type-Curve Matching. SPE Annual Technical Conference and Exhibition. 16 indexed citations
13.
Redner, Richard A., et al.. (1990). A note on the use of nonlinear filtering in computer graphics. IEEE Computer Graphics and Applications. 10(3). 23–29. 25 indexed citations
14.
Redner, Richard A., Richard J. Hathaway, & James C. Bezdek. (1987). Estimating the parameters of mixture models with modal estimators. Communication in Statistics- Theory and Methods. 16(9). 2639–2660. 16 indexed citations
15.
Redner, Richard A., et al.. (1985). Statistically optimized sampling for distributed ray tracing. ACM SIGGRAPH Computer Graphics. 19(3). 61–68. 123 indexed citations
16.
Redner, Richard A., et al.. (1985). Statistically optimized sampling for distributed ray tracing. 61–68. 17 indexed citations
17.
Redner, Richard A. & Homer F. Walker. (1984). Mixture Densities, Maximum Likelihood and the EM Algorithm. SIAM Review. 26(2). 195–239. 1853 indexed citations breakdown →
18.
Redner, Richard A., G. Kitagawa, & W. A. Coberly. (1982). The Akaike information criterion and its application to mixture proportion estimation. NASA Technical Reports Server (NASA). 3 indexed citations
19.
Redner, Richard A. & Homer F. Walker. (1982). Mixture densities, maximum likelihood, and the EM algorithm. NASA Technical Reports Server (NASA). 3 indexed citations
20.
Redner, Richard A.. (1981). Note on the Consistency of the Maximum Likelihood Estimate for Nonidentifiable Distributions. The Annals of Statistics. 9(1). 115 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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