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.
An Introduction to Sample Selection Bias in Sociological Data
19831.0k citationsRichard A. BerkAmerican Sociological Reviewprofile →
The Specific Deterrent Effects of Arrest for Domestic Assault
1984838 citationsRichard A. Berk et al.American Sociological Reviewprofile →
Applied Time Series Analysis for the Social Sciences.
Citations per year, relative to Richard A. Berk Richard A. Berk (= 1×)
peers
Michael E. Sobel
Countries citing papers authored by Richard A. Berk
Since
Specialization
Citations
This map shows the geographic impact of Richard A. Berk'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 Richard A. Berk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard A. Berk more than expected).
This network shows the impact of papers produced by Richard A. Berk. 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 Richard A. Berk. The network helps show where Richard A. Berk may publish in the future.
Co-authorship network of co-authors of Richard A. Berk
This figure shows the co-authorship network connecting the top 25 collaborators of Richard A. Berk.
A scholar is included among the top collaborators of Richard A. Berk 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 Richard A. Berk. Richard A. Berk is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Brown, Lawrence D., et al.. (2021). Semi-Supervised Linear Regression. Journal of the American Statistical Association. 117(540). 2238–2251.19 indexed citations
3.
Olson, Matthew, Abraham J. Wyner, & Richard A. Berk. (2018). Modern Neural Networks Generalize on Small Data Sets. Neural Information Processing Systems. 31. 3619–3628.64 indexed citations
4.
Buja, Andreas, et al.. (2016). Models as Approximations --- Part II: A General Theory of Model-Robust Regression. arXiv (Cornell University).6 indexed citations
5.
Buja, Andreas, Richard A. Berk, Lawrence D. Brown, et al.. (2015). Models as Approximations - A Conspiracy of Random Regressors and Model Deviations Against Classical Inference in Regression. Statistical Science. 1.4 indexed citations
6.
Buja, Andreas, Richard A. Berk, Lawrence Brown, et al.. (2014). The Conspiracy of Random Predictors and Model Violations against Classical Inference in Regression. arXiv (Cornell University).3 indexed citations
7.
Berk, Richard A. & Jan de Leeuw. (2011). An Evaluation of California's Inmate Classification System using a Regression Discontinuity Design. eScholarship (California Digital Library).
8.
Berk, Richard A., Alec C. Campbell, Ruth Klap, & Bruce Western. (2011). The Differential Deterrent Effects of An Arrest in Incidents of Domestic Violence: A Bayesian Analysis of Four Randomized Field Experiments. eScholarship (California Digital Library).
9.
Berk, Richard A.. (2011). What Your Mother Never Told You About Randomized Field Experiments.
Berk, Richard A., Yan He, & Susan B. Sorenson. (2004). Developing a Practical Forecasting Screener for Domestic Violence Incidents for the Los Angeles County Sheriff's Department. eScholarship (California Digital Library).1 indexed citations
13.
Berk, Richard A.. (2004). Conducting a Randomized Field Experiment for the California Department of Corrections: The Experience of the Inmate Classification Experiment. eScholarship (California Digital Library).1 indexed citations
14.
Berk, Richard A., et al.. (2003). Ensemble Procedures for Finding High Risk Prison Inmates. eScholarship (California Digital Library).1 indexed citations
15.
Berk, Richard A. & Sarah E. Rothenberg. (2003). Water Resource Dynamics in Asian Pacific Cities. eScholarship (California Digital Library).2 indexed citations
16.
Berk, Richard A. & Robert G. Fovell. (1998). Public Perceptions of Climate Change: A “Willingness to Pay” Assessment. eScholarship (California Digital Library).4 indexed citations
Feeley, Malcolm M, et al.. (1992). Between Two Extremes: An Examination of the Efficiency and Effectiveness of Community Service Orders and Their Implications for the U.S. Sentencing Guidelines. Berkley Law Scholarship Repository (University of California, Berkeley). 66. 155.2 indexed citations
Berk, Richard A. & Howard E. Aldrich. (1972). Patterns of Vandalism During Civil Disorders as an Indication of Target Selection. American Sociological Review. 37. 533–547.9 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.