Leo Breiman | Academic Influence

Leo Breiman's AcademicInfluence.com Rankings

Leo Breiman

Mathematics

#981

World Rank

#1696

Historical Rank

#428

USA Rank

Statistics

#28

World Rank

#43

Historical Rank

#17

USA Rank

mathematics Degrees

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Mathematics

Why Is Leo Breiman Influential?

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According to Wikipedia, Leo Breiman was a distinguished statistician at the University of California, Berkeley. He was the recipient of numerous honors and awards, and was a member of the United States National Academy of Sciences.

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Leo Breiman's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Random Forests (2001) (75405)
Bagging predictors (2004) (17035)
Classification and Regression Trees (1984) (14579)
Bagging Predictors (1996) (5478)
Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author) (2001) (2746)
Statistical modeling: The two cultures (2001) (1745)
Estimating Optimal Transformations for Multiple Regression and Correlation. (1985) (1720)
Heuristics of instability and stabilization in model selection (1996) (1181)
Better subset regression using the nonnegative garrote (1995) (1085)
Stacked regressions (2004) (1077)
Arcing classifier (with discussion and a rejoinder by the author) (1998) (975)
Arcing Classifiers (1998) (786)
Submodel selection and evaluation in regression. The X-random case (1992) (700)
Bias, Variance , And Arcing Classifiers (1996) (663)
Prediction Games and Arcing Algorithms (1999) (574)
Hinging hyperplanes for regression, classification, and function approximation (1993) (501)
Variable Kernel Estimates of Multivariate Densities (1977) (497)
Predicting Multivariate Responses in Multiple Linear Regression (1997) (495)
OUT-OF-BAG ESTIMATION (1996) (460)
Optimal Gambling Systems for Favorable Games (1962) (455)
CART: Classification and Regression Trees (1984) (452)
On Some Limit Theorems Similar to the Arc-Sin Law (1965) (422)
Stacked Regressions (1996) (354)
The Capacity of a Class of Channels (1959) (340)
Pasting Small Votes for Classification in Large Databases and On-Line (1999) (292)
The Capacities of Certain Channel Classes Under Random Coding (1960) (291)
The Little Bootstrap and other Methods for Dimensionality Selection in Regression: X-Fixed Prediction Error (1992) (282)
The Individual Ergodic Theorem of Information Theory (1957) (265)
Randomizing Outputs to Increase Prediction Accuracy (2000) (258)
Arcing the edge (1997) (255)
Using Iterated Bagging to Debias Regressions (2001) (234)
Random Forests--random Features (1999) (212)
SOME INFINITY THEORY FOR PREDICTOR ENSEMBLES (2000) (200)
How Many Variables Should Be Entered in a Regression Equation (1983) (198)
CONSISTENCY FOR A SIMPLE MODEL OF RANDOM FORESTS (2004) (196)
Sums of Functions of Nearest Neighbor Distances, Moment Bounds, Limit Theorems and a Goodness of Fit Test (1983) (172)
Technical note: Some properties of splitting criteria (2004) (162)
Classification and Regression Trees (Wadsworth Statistics/Probability) (1984) (153)
A deterministic algorithm for global optimization (1993) (135)
USING ADAPTIVE BAGGING TO DEBIAS REGRESSIONS (1999) (115)
INVESTMENT POLICIES FOR EXPANDING BUSINESSES OPTIMAL IN A LONG-RUN SENSE (1960) (114)
The II P method for estimating multivariate functions from noisy data (1991) (105)
First exit times from a square root boundary (1967) (105)
The Strong Law of Large Numbers for a Class of Markov Chains (1960) (100)
Technical Note: Some Properties of Splitting Criteria (1996) (98)
Proof of Shannon's Transmission Theorem for Finite-State Indecomposable Channels (1958) (96)
Population theory for boosting ensembles (2003) (90)
Statistics: with a view toward applications (1969) (87)
Classification of EEG Spatial Patterns with a Tree-Structured Methodology: CART (1986) (83)
Optimal Localization by Pointing Off Axis (2010) (76)
Neural Networks and Related Methods for Classification - Discussion (1994) (75)
The Poisson Tendency in Traffic Distribution (1963) (74)
BORN AGAIN TREES (1996) (70)
Random Forests: Finding Quasars (2003) (69)
Estimating Optimal Transformations for Multiple Regression and Correlation: Rejoinder (1985) (67)
Pasting Bites Together For Prediction In Large Data Sets And On-Line (1996) (55)
Probability and stochastic processes : with a view toward applications (1970) (55)
Fitting additive models to regression data (1993) (51)
The 1991 Census Adjustment: Undercount or Bad Data? (1994) (49)
On the tail behavior of sums of independent random variables (1967) (45)
General Estimates of the Intrinsic Variability of Data in Nonlinear Regression Models (1976) (42)
Correction Notes: Correction to "The Individual Ergodic Theorem of Information Theory" (1960) (40)
Consistent Estimates and Zero-One Sets (1964) (39)
A Delicate Law of the Iterated Logarithm for Non-Decreasing Stable Processes (1968) (38)
Robust confidence bounds for extreme upper quantiles (1990) (37)
On the Completeness of Order Statistics (1960) (37)
[Neural Networks: A Review from Statistical Perspective]: Comment (1994) (34)
Bias-variance, regularization, instability and stabilization (1998) (32)
On achieving channel capacity in finite-memory channels (1960) (30)
Time scales, fluctuations and constant flow periods in uni-directional traffic☆ (1973) (29)
The statistical properties of freeway traffic (1977) (29)
HALF&HALF BAGGING AND HARD BOUNDARY POINTS (1998) (26)
Comparing Automatic Smoothers (A Public Service Enterprise) (1992) (25)
Tree-Structured Classification Via Generalized Discriminant Analysis: Comment (1988) (23)
Big Random Forests: Classification and Regression Forests forLarge Data Sets (2014) (23)
AN EXPERIMENTAL ANALYSIS OF SINGLE-LANE TIME HEADWAYS IN FREELY FLOWING TRAFFIC (1968) (17)
Using convex pseudo-data to increase prediction accuracy (1998) (16)
[The ∏ Method for Estimating Multivariate Functions from Noisy Data]: Response (1991) (16)
Probability and Stochastic Processes (With a View toward Applications) (1970) (15)
Bivariate variable selection for classification problem (2005) (14)
The Teaching of Probability and Statistics (1972) (14)
Space-time relationships in one-way traffic flow (1969) (13)
A Note on Minimax Filtering (1973) (13)
Discussion: Multivariate Adaptive Regression Splines (1991) (11)
Confidence bounds for extreme quantiles (1988) (11)
A SIMPLE STOCHASTIC MODEL FOR FREEWAY TRAFFIC (1977) (10)
Discussion: Consistent Nonparametric Regression (1977) (10)
On a Simple Estimation Procedure for Censored Regression Models with Known Error Distributions (1993) (9)
Use of multivariate statistical methods to identify immunochemical cross‐reactants (1994) (9)
Point and trajectory processes in one-way traffic flow (1969) (8)
Convergence Properties of a Learning Algorithm (1964) (7)
1 RANDOM FORESTS (1999) (7)
No Bayesians in foxholes (1997) (7)
DISTRIBUTION BASED TREES ARE MORE ACCURATE (2013) (7)
Significance Tests.@@@Statistics: With a View Toward Applications. (1973) (6)
Data and models in homogeneous one-way traffic flow (1969) (6)
On Transient Markov Chains with Application to the Uniqueness Problem for Markov Processes (1957) (6)
Further Development of New Methods for Estimating Tail Probabilities and Extreme Value Distributions. (1981) (6)
New Methods for Estimating Tail Probabilities and Extreme Value Disributions. (1979) (6)
12. Stochastic Processes and Brownian Motion (1992) (5)
Discussion: Linear Smoothers and Additive Models (1989) (4)
[Monotone Regression Splines in Action]: Comment (1988) (4)
Two-Eyed Algorithms and Problems (2003) (4)
Transient Atomic Markov Chains with a Denumerable Number of States (1958) (3)
Correction Notes: Correction to "A Delicate Law of the Iterated Logarithm for Non-Decreasing Stable Processes" (1970) (3)
A relationship between space and time distributions in homogeneous traffic flow and its applications (1974) (3)
Univariate and bivariate variable selection in high dimensional data (2004) (2)
DISCRETE SIGNALING AND CODING SYSTEMS. (1965) (2)
An Elementary Theorem Concerning Stationary Ergodic Processes (1958) (2)
BASED TREES ARE MORE ACCURATE (1996) (1)
A MODEL FOR QUALITY CONTROL (1962) (1)
Addendum: Addendum to "A Delicate Law of the Iterated Logarithm for Non- Decreasing Stable Processes" (1969) (1)
4 Discussion and Future Work 3 Experiments and Results 2 Our Solution Adaptive Sentence Boundary Disambiguation (1994) (0)
A Counterexample to a Theorem of Kolmogorov (1957) (0)
15. Markov Processes, Introduction and Pure Jump Case (1992) (0)
7. Markov Chains (1992) (0)
14. Martingales and Processes with Stationary, Independent Increments (1992) (0)
Empirical techniques for analyzing air quality and meteorological data. Part III. Short-term changes in ground-level ozone concentrations: an empirical analysis. Final report May 74--Oct 75 (1976) (0)
9. The One-Dimensional Central Limit Problem (1992) (0)
6. Stationary Processes and the Ergodic Theorem (1992) (0)
11. Multidimensional Central Limit Theorem and Gaussian Processes (1992) (0)
13. Invariance Theorems (1992) (0)
Parallelizing CART Using a WorkstationNetworkPhil (2013) (0)
Statistical Artifacts in the Ratio of Discrete Quantities (1995) (0)
8. Convergence in Distribution and the Tools Thereof (1992) (0)
Synthetic Aperture Radar Signals: Formulations and Approaches for Data Analysis (1975) (0)
4. Conditional Probability and Conditional Expectation (1992) (0)
2. Mathematical Framework (1992) (0)
10. The Renewal Theorem and Local Limit Theorem (1992) (0)
Topics in the Analysis and Optimization of Complex Systems. (1977) (0)
Introduction to Probability Theory.@@@Introduction to Statistical Theory.@@@Introduction to Stochastic Processes.@@@Probability and Stochastic Processes: With a View Toward Applications.@@@Statistics: With a View Toward Applications. (1975) (0)
1 ARCING CLASSIFIERS (0)
THE LMILE BOOTSTRAP AND OTHER METHODS FOR DIMENSIONALITY SELECTION IN REGRESSION : X-FXCED PREDICTION ERROR (0)
ON RANDOM WALKS WITH AN ABSORBING BARRIER AND GAMBLING SYSTEMS (1965) (0)
Predicting Skin Sensitization Using 21 st Century Toxicology (2014) (0)
[Can We Reach Consensus on Census Adjustment?]: Rejoinder (1994) (0)
1 ARCING THE EDGE (0)

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What Schools Are Affiliated With Leo Breiman?

Leo Breiman is affiliated with the following schools:

University of California, Berkeley

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