Peter J. Bickel

53.7k citations
221 papers · 19.0k indexed · 10 hit papers · h-index 60

Impact in

Papers in

Peter J. Bickel

217 papers receiving 17.2k citations

Hit Papers

Metalearners for estimating heterogeneous treatment effects using machine learning 2019 · 468 citations
46819732026199020084008001.2k

Peers

Peter J. Bickel
Comparison fields: 5 of 220
  • Statistics and Probability 9.2k
  • Statistics, Probability and Uncertainty 1.5k
  • Finance 1.8k
  • Artificial Intelligence 4.1k
  • Management Science and Operations Research 1.4k
Replace Alan E. Gelfand with:
Alan E. Gelfand United States
David Ruppert United States
George Casella United States
D. R. Cox United Kingdom
Charles J. Stone United States
A. F. M. Smith United Kingdom
Wolfgang Karl Härdle Germany
Christian P. Robert France
Peter J. Huber United States
T. W. Anderson United States
Peter J. Bickel relative to Alan E. Gelfand United States Alan E. Gelfand's profile →
Citations per field
00.5×1.5×1.9×
Alan E. Gelfand · 1×
Citations per year

Countries citing papers authored by Peter J. Bickel

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Bickel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Bickel. 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 Peter J. Bickel. The network helps show where Peter J. Bickel may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202310
2 201815
3
The consistency of common neighbors for link prediction in stochastic blockmodels
20154
4
INFERRING GENE ASSOCIATION NETWORKS USING SPARSE CANONICAL CORRELATION ANALYSIS
20144
5 201468
6 201381
7
Fitting community models to large sparse networks
201210
8 2012319
9
Kurz- und langfristige Auswirkungen des Ausbaus erneuerbarer Energien auf den deutschen Arbeitsmarkt
20116
10
The method of moments and degree distributions for network models
201190
11 2010177
12 2009259
13
Regularized estimation of large covariance matrices
Hit paper breakdown →
2008730
14
On Detecting Periodicity in Astronomical Point Processes
20071
15
Covariance regularization by thresholding
Hit paper breakdown →
2007689
16 200632
17 2005299
18
Maximum Likelihood Estimation of Intrinsic Dimension
2004399
19 200416
20
Empirical Comparison of Travel Time Estimation Methods
19997

About Peter J. Bickel

Peter J. Bickel is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Artificial Intelligence, Management Science and Operations Research and Finance, having authored 221 papers that have together received 19.0k indexed citations. Recurring topics across this work include Statistical Methods and Inference (74 papers), Bayesian Methods and Mixture Models (38 papers), Advanced Statistical Methods and Models (34 papers), Statistical Methods and Bayesian Inference (26 papers), Advanced Statistical Process Monitoring (13 papers), Statistical Distribution Estimation and Applications (13 papers), Genomics and Chromatin Dynamics (11 papers) and Complex Network Analysis Techniques (9 papers). The work is most often cited by research in Statistics and Probability (9.2k citations), Statistics, Probability and Uncertainty (1.5k citations), Finance (1.8k citations), Artificial Intelligence (4.1k citations) and Management Science and Operations Research (1.4k citations). Peter J. Bickel has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include Elizaveta Levina, Ya’acov Ritov, Kjell A. Doksum, David A. Freedman, Kenneth W. Wachter, Alexandre B. Tsybakov, Chris A. J. Klaassen, Jon A. Wellner, M. Rosenblatt and Aiyou Chen. Their work appears in journals such as The Annals of Statistics, Journal of the American Statistical Association, Proceedings of the National Academy of Sciences, The Annals of Applied Statistics and Bernoulli.

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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