Chris Fraley

12.7k total citations · 4 hit papers
37 papers, 8.1k citations indexed

About

Chris Fraley is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Chris Fraley has authored 37 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 5 papers in Molecular Biology. Recurrent topics in Chris Fraley's work include Bayesian Methods and Mixture Models (15 papers), Advanced Clustering Algorithms Research (9 papers) and Statistical Methods and Inference (5 papers). Chris Fraley is often cited by papers focused on Bayesian Methods and Mixture Models (15 papers), Advanced Clustering Algorithms Research (9 papers) and Statistical Methods and Inference (5 papers). Chris Fraley collaborates with scholars based in United States, United Kingdom and France. Chris Fraley's co-authors include Adrian E. Raftery, Ka Yee Yeung, Tilmann Gneiting, Alejandro Murua, Walter L. Ruzzo, J. M. Sloughter, Fionn Murtagh, Luca Scrucca, Denis Allard and Jonathan Campbell and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Chris Fraley

37 papers receiving 7.6k citations

Hit Papers

Model-Based Clustering, Discriminant Analysis, and Densit... 1998 2026 2007 2016 2002 1998 2001 2023 500 1000 1.5k 2.0k 2.5k

Peers

Chris Fraley
Comparison fields: 5 of 218
  • Artificial Intelligence 3.0k
  • Molecular Biology 1.7k
  • Statistics and Probability 882
  • Signal Processing 680
  • Global and Planetary Change 653
Replace Naomi Altman with:
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Citations per field, relative to Chris Fraley
Chris Fraley · 1×
Citations per year, relative to Chris Fraley
Chris Fraley · 1×

Countries citing papers authored by Chris Fraley

Since Specialization
Citations

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

Fields of papers citing papers by Chris Fraley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris Fraley. 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 Fraley. The network helps show where Chris Fraley may publish in the future.

Co-authorship network of co-authors of Chris Fraley

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Fraley. A scholar is included among the top collaborators of Chris Fraley 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 Fraley. Chris Fraley 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
# Work Indexed citations
1
Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation [R package mclust version 5.4.7]
12
2
Normal Mixture Modelling for Model-Based Clustering,Classification, and Density Estimation
14
3 4
4
Least Angle and $L_1$ Regression: A Review
1
5
Model-based Methods of Classification: Using the mclust Software in Chemometrics
32
6 173
7 319
8 261
9
MCLUST Version 3 for R: Normal Mixture Modeling and Model-Based Clustering †
277
10 296
11 13
12 42
13 83
14 237
15
Model-Based Clustering, Discriminant Analysis, and Density Estimation breakdown →
2782
16
Model-based clustering and data transformations for gene expression data breakdown →
572
17 27
18
How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis breakdown →
1718
19 50
20 1

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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