Leo Breiman

229.6k citations
97 papers · 162.1k indexed · 14 hit papers · h-index 49

Impact in

    • Machine Learning and Data Classification
    • Imbalanced Data Classification Techniques
    • Neural Networks and Applications
    • Anomaly Detection Techniques and Applications
    • Remote Sensing and LiDAR Applications

Papers in

Leo Breiman

95 papers receiving 154.1k citations

Hit Papers

Classification And Regression Trees 2017 · 3.5k citations
3.5k198420261998201225.0k50.0k75.0k

Peers

Leo Breiman
Comparison fields: 5 of 244
  • Artificial Intelligence 43.9k
  • Environmental Engineering 15.5k
  • Statistics and Probability 8.2k
  • Ecological Modeling 4.0k
  • Computer Vision and Pattern Recognition 14.9k
Replace Jerome H. Friedman with:
Jerome H. Friedman United States
Robert Tibshirani United States
Trevor Hastie United States
Vladimir Vapnik United States
Geoffrey E. Hinton Canada
Donald B. Rubin United States
Bradley Efron United States
Robert E. Schapire United States
Yoshua Bengio Canada
Richard A. Olshen United States
Leo Breiman relative to Jerome H. Friedman United States Jerome H. Friedman's profile →
Citations per field
00.5×1.5×2.0×
Jerome H. Friedman · 1×
Citations per year

Countries citing papers authored by Leo Breiman

Since Specialization
Citations

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

Fields of papers citing papers by Leo Breiman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Leo Breiman, 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 Leo Breiman Line = papers co-authored together Leo Breiman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Classification And Regression Trees
Hit paper breakdown →
20173472
2 20136
3 200451
4
Statistical modeling: The two cultures
Hit paper breakdown →
2001870
5
Random Forests
Hit paper breakdown →
200185453
6 2000176
7
Arcing classifier (with discussion and a rejoinder by the author)
Hit paper breakdown →
1998725
8 1995472
9 199428
10 199425
11 1992180
12 19885
13
Estimating Optimal Transformations for Multiple Regression and Correlation
Hit paper breakdown →
19851098
14 19853
15 198327
16 197715
17 19776
18 197631
19 19721
20 19576

About Leo Breiman

Leo Breiman is a scholar working on Statistics and Probability, Artificial Intelligence, Statistics, Probability and Uncertainty, Control and Systems Engineering and Computational Theory and Mathematics, having authored 97 papers that have together received 162.1k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (23 papers), Statistical Methods and Inference (10 papers), Machine Learning and Data Classification (10 papers), Neural Networks and Applications (10 papers), Data Mining Algorithms and Applications (9 papers), Control Systems and Identification (8 papers), Traffic control and management (7 papers) and Traffic Prediction and Management Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (43.9k citations), Environmental Engineering (15.5k citations), Statistics and Probability (8.2k citations), Ecological Modeling (4.0k citations) and Computer Vision and Pattern Recognition (14.9k citations). Leo Breiman has collaborated with scholars based in United States and Venezuela. Frequent co-authors include Jerome H. Friedman, Richard A. Olshen, Charles J. Stone, Alexander Gordon, John Van Ryzin, Adele Cutler, David Blackwell, A. J. Thomasian, William S. Meisel and Edward M. Purcell. Their work appears in journals such as Journal of the American Statistical Association, Machine Learning, Technometrics, The Annals of Statistics and Statistical Science.

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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