Ben B. Hansen

2.2k total citations
27 papers, 1.5k citations indexed

About

Ben B. Hansen is a scholar working on Statistics and Probability, Economics and Econometrics and General Health Professions. According to data from OpenAlex, Ben B. Hansen has authored 27 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 8 papers in Economics and Econometrics and 5 papers in General Health Professions. Recurrent topics in Ben B. Hansen's work include Advanced Causal Inference Techniques (13 papers), Statistical Methods and Inference (9 papers) and Statistical Methods and Bayesian Inference (7 papers). Ben B. Hansen is often cited by papers focused on Advanced Causal Inference Techniques (13 papers), Statistical Methods and Inference (9 papers) and Statistical Methods and Bayesian Inference (7 papers). Ben B. Hansen collaborates with scholars based in United States, Norway and Netherlands. Ben B. Hansen's co-authors include Stephanie O. Klopfer, Jeffrey D. Morenoff, Jake Bowers, George A. Kaplan, David R. Williams, James S. House, Haslyn Hunte, Paul W. Holland, Jim Pitman and Paul R. Rosenbaum and has published in prestigious journals such as Journal of the American Statistical Association, Annals of Internal Medicine and American Journal of Epidemiology.

In The Last Decade

Ben B. Hansen

24 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben B. Hansen United States 12 497 238 187 171 165 27 1.5k
Peter W. Solenberger United States 3 390 0.8× 143 0.6× 220 1.2× 153 0.9× 228 1.4× 4 1.6k
Lane F. Burgette United States 18 448 0.9× 355 1.5× 234 1.3× 89 0.5× 190 1.2× 69 2.1k
Rhian Daniel United Kingdom 24 840 1.7× 392 1.6× 246 1.3× 178 1.0× 144 0.9× 63 2.6k
José R. Zubizarreta United States 25 619 1.2× 315 1.3× 146 0.8× 132 0.8× 108 0.7× 71 1.9k
Margarita Moreno‐Betancur Australia 25 298 0.6× 113 0.5× 243 1.3× 233 1.4× 142 0.9× 97 1.9k
Mary E. Slaughter United States 20 205 0.4× 244 1.0× 478 2.6× 235 1.4× 146 0.9× 62 2.2k
Chris Wiesen United States 9 158 0.3× 146 0.6× 145 0.8× 61 0.4× 78 0.5× 19 1.0k
John Van Hoewyk United States 15 464 0.9× 273 1.1× 573 3.1× 282 1.6× 607 3.7× 17 2.8k
James R. Rogers United States 27 67 0.1× 271 1.1× 133 0.7× 92 0.5× 172 1.0× 100 2.1k
David Steel Australia 19 174 0.4× 347 1.5× 255 1.4× 257 1.5× 348 2.1× 82 1.6k

Countries citing papers authored by Ben B. Hansen

Since Specialization
Citations

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

Fields of papers citing papers by Ben B. Hansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben B. Hansen. 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 Ben B. Hansen. The network helps show where Ben B. Hansen may publish in the future.

Co-authorship network of co-authors of Ben B. Hansen

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

All Works

20 of 20 papers shown
1.
2.
Hansen, Ben B., et al.. (2022). Conjuring Power from a Theory of Change: The PWRD Method for Trials with Anticipated Variation in Effects. Journal of Research on Educational Effectiveness. 16(4). 707–733. 1 indexed citations
3.
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White, Mark, et al.. (2019). Combining Archival Data and Program-Generated Electronic Records to Improve the Usefulness of Efficacy Trials in Education: General Considerations and an Empirical Example. Journal of Research on Educational Effectiveness. 12(4). 659–684. 3 indexed citations
5.
Rowan, Brian, et al.. (2019). A Summary of the BURST[R]: Reading Efficacy Trial.. 2 indexed citations
6.
Sales, Adam, Ben B. Hansen, & Brian Rowan. (2017). Rebar: Reinforcing a Matching Estimator With Predictions From High-Dimensional Covariates. Journal of Educational and Behavioral Statistics. 43(1). 3–31. 11 indexed citations
7.
Gurm, Hitinder S., et al.. (2015). Comparative Effectiveness and Safety of a Catheterization Laboratory–Only Eptifibatide Dosing Strategy in Patients Undergoing Percutaneous Coronary Intervention. Circulation Cardiovascular Interventions. 8(2). e001880–e001880. 7 indexed citations
8.
Hansen, Ben B. & Adam Sales. (2015). Comment on Cochran’s “Observational Studies”. 1(1). 184–193. 1 indexed citations
9.
Sales, Adam & Ben B. Hansen. (2014). Limitless Regression Discontinuity: Causal Inference for a Population Surrounding a Threshold. arXiv (Cornell University). 3 indexed citations
10.
Gurm, Hitinder S., et al.. (2013). Comparative Safety of Vascular Closure Devices and Manual Closure Among Patients Having Percutaneous Coronary Intervention. Annals of Internal Medicine. 159(10). 660–666. 28 indexed citations
11.
Hansen, Ben B., Paul R. Rosenbaum, & Dylan S. Small. (2013). Clustered Treatment Assignments and Sensitivity to Unmeasured Biases in Observational Studies. Journal of the American Statistical Association. 109(505). 133–144. 28 indexed citations
12.
Hansen, Ben B. & Jake Bowers. (2009). Attributing Effects to a Cluster-Randomized Get-Out-the-Vote Campaign. Journal of the American Statistical Association. 104(487). 873–885. 52 indexed citations
13.
Hansen, Ben B. & Jake Bowers. (2008). Covariate Balance in Simple, Stratified and Clustered Comparative Studies. Statistical Science. 23(2). 101–102. 38 indexed citations
14.
Morenoff, Jeffrey D., Ana V. Diez Roux, Ben B. Hansen, & Theresa L. Osypuk. (2008). Residential Environments and Obesity: What Can We Learn about Policy Interventions from Observational Studies?. 309–343. 9 indexed citations
15.
Morenoff, Jeffrey D., James S. House, Ben B. Hansen, et al.. (2007). Understanding social disparities in hypertension prevalence, awareness, treatment, and control: The role of neighborhood context. Social Science & Medicine. 65(9). 1853–1866. 274 indexed citations
16.
Hansen, Troels Mørk, Ben B. Hansen, & Gerd Inger Ringdal. (2006). Does aromatherapy massage reduce job-related stress? Results from a randomised, controlled trial. International Journal of Aromatherapy. 16(2). 89–94. 10 indexed citations
17.
Bowers, Jake & Ben B. Hansen. (2005). Attributing Effects in Cluster Randomized Trials and Observational Studies: The Case of a Get Out The Vote Campaign. 2 indexed citations
18.
Evans, Steven N., Ben B. Hansen, & Philip B. Stark. (2005). Minimax expected measure confidence sets for restricted location parameters. Bernoulli. 11(4). 13 indexed citations
19.
Hansen, Ben B.. (2004). Full Matching in an Observational Study of Coaching for the SAT. Journal of the American Statistical Association. 99(467). 609–618. 424 indexed citations
20.
Hansen, Ben B. & Jim Pitman. (2000). Prediction rules for exchangeable sequences related to species sampling. Statistics & Probability Letters. 46(3). 251–256. 32 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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