Richard A. Redner

3.5k citations
25 papers · 2.4k indexed · 1 hit paper · h-index 14

Richard A. Redner

24 papers receiving 2.2k citations

Hit Papers

Mixture Densities, Maximum Likelihood and the EM Algorithm1.9k198420261998201250010001.5k

Peers

Richard A. Redner
Comparison fields: 5 of 154
  • Statistics and Probability 582
  • Computer Graphics and Computer-Aided Design 138
  • Artificial Intelligence 1.1k
  • Signal Processing 320
  • Computer Vision and Pattern Recognition 599
Replace Frank Nielsen with:
Frank Nielsen Japan
Marco Cuturi France
Edward J. Wegman United States
Thomas P. Minka United States
William J. Fitzgerald United Kingdom
Ding‐Xuan Zhou Hong Kong
Guy P. Nason United Kingdom
Allan Seheult United Kingdom
S.C. Schwartz United States
Kun Zhang United States
Richard A. Redner relative to Frank Nielsen Japan Frank Nielsen's profile →
Citations per field
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Frank Nielsen · 1×
Citations per year

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

The 17 scholars most cited alongside Richard A. Redner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Richard A. Redner Line = papers co-authored together Richard A. Redner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20057
2 20033
3 20002
4 199913
5 199840
6 19965
7 199610
8 19959
9 19948
10 199323
11 19921
12 199216
13 199025
14 198716
15 1985123
16 198517
17
Mixture Densities, Maximum Likelihood and the EM Algorithmbreakdown →
19841853
18
The Akaike information criterion and its application to mixture proportion estimation
19823
19
Mixture densities, maximum likelihood, and the EM algorithm
19823
20 1981115

About Richard A. Redner

Richard A. Redner is a scholar working on Statistics and Probability, Computer Graphics and Computer-Aided Design and Ocean Engineering, having authored 25 papers that have together received 2.4k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (8 papers), Reservoir Engineering and Simulation Methods (8 papers), Statistical Methods and Inference (6 papers), Hydraulic Fracturing and Reservoir Analysis (6 papers), Computer Graphics and Visualization Techniques (4 papers), Statistical Distribution Estimation and Applications (4 papers), Advanced Vision and Imaging (4 papers) and Advanced Statistical Methods and Models (3 papers). The work is most often cited by research in Statistics and Probability (582 citations), Computer Graphics and Computer-Aided Design (138 citations) and Artificial Intelligence (1.1k citations). Richard A. Redner has collaborated with scholars based in United States, Brazil and Netherlands. Frequent 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. Their work appears in journals such as ACM Transactions on Graphics, The Annals of Statistics and SIAM Review.

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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