Justin Bleich

2.7k total citations · 1 hit paper
10 papers, 1.6k citations indexed

About

Justin Bleich is a scholar working on Artificial Intelligence, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, Justin Bleich has authored 10 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Sociology and Political Science. Recurrent topics in Justin Bleich's work include Data Analysis with R (4 papers), Neural Networks and Applications (2 papers) and Crime Patterns and Interventions (2 papers). Justin Bleich is often cited by papers focused on Data Analysis with R (4 papers), Neural Networks and Applications (2 papers) and Crime Patterns and Interventions (2 papers). Justin Bleich collaborates with scholars based in United States. Justin Bleich's co-authors include Adam Kapelner, Emil Pitkin, Alex Goldstein, Richard A. Berk, Abraham J. Wyner, David Mease, Matthew Olson, Shane T. Jensen and Edward I. George and has published in prestigious journals such as Journal of Statistical Software, Journal of Machine Learning Research and Journal of Computational and Graphical Statistics.

In The Last Decade

Justin Bleich

10 papers receiving 1.6k citations

Hit Papers

align trajectories

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.

Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation

2014 1.1k citations Alex Goldstein, Adam Kapelner et al. Journal of Computational and Graphical Statistics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Justin Bleich United States	7	542	126	126	119	112	10	1.6k
Adam Kapelner United States	13	524 1.0×	150 1.2×	115 0.9×	117 1.0×	133 1.2×	31	1.9k
Cheng‐Wu Chen Taiwan	31	442 0.8×	231 1.8×	155 1.2×	225 1.9×	95 0.8×	109	2.6k
Erik Štrumbelj Slovenia	16	716 1.3×	68 0.5×	148 1.2×	108 0.9×	63 0.6×	39	2.2k
Eva Cernadas Spain	16	832 1.5×	55 0.4×	146 1.2×	80 0.7×	46 0.4×	59	2.7k
Yap Bee Wah Malaysia	18	375 0.7×	273 2.2×	57 0.5×	51 0.4×	98 0.9×	81	2.1k
Laura Toloşi Germany	6	391 0.7×	47 0.4×	124 1.0×	85 0.7×	46 0.4×	10	2.0k
Marco Scutari Switzerland	15	642 1.2×	68 0.5×	118 0.9×	35 0.3×	151 1.3×	51	2.3k
Kevin B. Korb Australia	21	1.3k 2.4×	164 1.3×	252 2.0×	66 0.6×	80 0.7×	92	2.8k
Silke Janitza Germany	14	223 0.4×	37 0.3×	162 1.3×	59 0.5×	97 0.9×	24	1.7k
SRJ United States	9	193 0.4×	113 0.9×	88 0.7×	59 0.5×	384 3.4×	10	2.0k

Countries citing papers authored by Justin Bleich

Since Specialization

Citations

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

Fields of papers citing papers by Justin Bleich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Bleich

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Bleich. A scholar is included among the top collaborators of Justin Bleich 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 Justin Bleich. Justin Bleich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Wyner, Abraham J., Matthew Olson, Justin Bleich, & David Mease. (2017). Explaining the success of adaboost and random forests as interpolating classifiers. Journal of Machine Learning Research. 18(1). 1558–1590. 137 indexed citations

2.

Kapelner, Adam & Justin Bleich. (2016). bartMachine: Machine Learning with Bayesian Additive Regression Trees. Journal of Statistical Software. 70(4). 160 indexed citations

3.

Bleich, Justin. (2015). Extensions and applications of ensemble-of-trees methods in machine learning. Scholarly Commons (University of Pennsylvania). 2 indexed citations

4.

Bleich, Justin, Adam Kapelner, Edward I. George, & Shane T. Jensen. (2014). Variable selection for BART: An application to gene regulation. The Annals of Applied Statistics. 8(3). 84 indexed citations

5.

Goldstein, Alex, Adam Kapelner, Justin Bleich, & Emil Pitkin. (2014). Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation. Journal of Computational and Graphical Statistics. 24(1). 44–65. 1105 indexed citations breakdown →

6.

Kapelner, Adam & Justin Bleich. (2013). bartMachine: A Powerful Tool for Machine Learning.. arXiv (Cornell University). 8 indexed citations

7.

Bleich, Justin, Adam Kapelner, Edward I. George, & Shane T. Jensen. (2013). Variable Selection Inference for Bayesian Additive Regression Trees. arXiv (Cornell University). 3 indexed citations

8.

Berk, Richard A. & Justin Bleich. (2013). Forecasts of Violence to Inform Sentencing Decisions. Journal of Quantitative Criminology. 30(1). 79–96. 33 indexed citations

9.

Berk, Richard A. & Justin Bleich. (2013). Statistical Procedures for Forecasting Criminal Behavior. Criminology & Public Policy. 12(3). 513–544. 105 indexed citations

10.

Berk, Richard A. & Justin Bleich. (2013). Overview of: “Statistical Procedures for Forecasting Criminal Behavior: A Comparative Assessment”. Criminology & Public Policy. 12(3). 511–511. 3 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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