Eric B. Laber

5.3k total citations · 2 hit papers
90 papers, 2.9k citations indexed

About

Eric B. Laber is a scholar working on Statistics and Probability, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Eric B. Laber has authored 90 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Statistics and Probability, 13 papers in Economics and Econometrics and 12 papers in Artificial Intelligence. Recurrent topics in Eric B. Laber's work include Advanced Causal Inference Techniques (39 papers), Statistical Methods and Inference (30 papers) and Statistical Methods in Clinical Trials (25 papers). Eric B. Laber is often cited by papers focused on Advanced Causal Inference Techniques (39 papers), Statistical Methods and Inference (30 papers) and Statistical Methods in Clinical Trials (25 papers). Eric B. Laber collaborates with scholars based in United States, Canada and Singapore. Eric B. Laber's co-authors include Marie Davidian, Anastasios A. Tsiatis, Michael R. Kosorok, Jesse Clifton, Ying‐Qi Zhao, Baqun Zhang, Susan A. Murphy, Daniel J. Lizotte, Donglin Zeng and Brian J. Reich and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Technometrics.

In The Last Decade

Eric B. Laber

83 papers receiving 2.9k citations

Hit Papers

align trajectories sort by overperformance

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.

Q-Learning: Theory and Applications

2020 250 citations Eric B. Laber et al. profile →
Precision Medicine

2019 212 citations Michael R. Kosorok, Eric B. Laber profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Eric B. Laber	1.5k	476	394	205	178	90	2.9k
Hannu Oja	1.8k 1.2×	158 0.3×	503 1.3×	291 1.4×	70 0.4×	170	4.6k
Sonja Greven	836 0.6×	137 0.3×	337 0.9×	179 0.9×	401 2.3×	64	2.6k
Jiming Jiang	1.2k 0.8×	446 0.9×	387 1.0×	146 0.7×	105 0.6×	112	2.7k
Jane-Ling Wang	2.3k 1.5×	256 0.5×	986 2.5×	309 1.5×	51 0.3×	97	4.3k
Donglin Zeng	2.4k 1.6×	501 1.1×	585 1.5×	603 2.9×	213 1.2×	328	6.2k
Ying Wei	508 0.3×	148 0.3×	153 0.4×	613 3.0×	70 0.4×	131	4.6k
Yi Li	665 0.4×	176 0.4×	324 0.8×	613 3.0×	39 0.2×	191	3.3k
Toshiro Tango	443 0.3×	534 1.1×	234 0.6×	295 1.4×	114 0.6×	134	4.1k
M. J. Crowder	1.1k 0.7×	160 0.3×	215 0.5×	88 0.4×	32 0.2×	42	2.9k
Yuedong Wang	459 0.3×	94 0.2×	153 0.4×	132 0.6×	80 0.4×	112	2.6k

Countries citing papers authored by Eric B. Laber

Since Specialization

Citations

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

Fields of papers citing papers by Eric B. Laber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric B. Laber

This figure shows the co-authorship network connecting the top 25 collaborators of Eric B. Laber. A scholar is included among the top collaborators of Eric B. Laber 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 Eric B. Laber. Eric B. Laber 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:

20 of 20 papers shown

Mustanski, Brian, Kathryn Macapagal, Dennis H. Li, et al.. (2025). Effectiveness of the smart program: Stepped-care HIV prevention for gay and bisexual adolescent boys.. Health Psychology. 44(3). 321–331.

Applebaum, Allison J., Rebecca Gebert, Eric Kuhn, et al.. (2025). A Pilot Study of the Cancer Distress Coach‐Caregiver App: A Digital Intervention for Reducing PTSD Symptoms in HCT Caregivers. Psycho-Oncology. 34(10). e70305–e70305.

Smith, Sophia K., Eric Kuhn, Eric B. Laber, et al.. (2024). Assessing the utility of the PC‐PTSD‐5 as a screening tool among a cancer survivor sample. Cancer. 130(23). 4118–4126. 1 indexed citations

Li, Yanhong, Shelby D. Reed, Joseph G. Winger, et al.. (2023). Cost-Effectiveness Analysis Evaluating Delivery Strategies for Pain Coping Skills Training in Women With Breast Cancer. Journal of Pain. 24(9). 1712–1720. 1 indexed citations

Neil, Jordan M., Melissa J. Vilaro, François Modave, et al.. (2022). Telehealth and racial disparities in colorectal cancer screening: A pilot study of how virtual clinician characteristics influence screening intentions. Journal of Clinical and Translational Science. 6(1). e48–e48. 5 indexed citations

Laber, Eric B., et al.. (2021). Reinforced Risk Prediction With Budget Constraint Using Irregularly Measured Data From Electronic Health Records. Journal of the American Statistical Association. 118(542). 1090–1101. 2 indexed citations

Laber, Eric B., et al.. (2021). Novel approach to modeling high-frequency activity data to assess therapeutic effects of analgesics in chronic pain conditions. Scientific Reports. 11(1). 7737–7737. 3 indexed citations

Smith, Sophia K., Tamara J. Somers, Eric Kuhn, et al.. (2021). A SMART approach to optimizing delivery of an mHealth intervention among cancer survivors with posttraumatic stress symptoms. Contemporary Clinical Trials. 110. 106569–106569. 8 indexed citations

Mustanski, Brian, David Moskowitz, Kevin Moran, et al.. (2020). Evaluation of a Stepped-Care eHealth HIV Prevention Program for Diverse Adolescent Men Who Have Sex With Men: Protocol for a Hybrid Type 1 Effectiveness Implementation Trial of SMART. JMIR Research Protocols. 9(8). e19701–e19701. 29 indexed citations

10.

Olby, Natasha J., Ji‐Hey Lim, Nikki J. Wagner, et al.. (2019). Time course and prognostic value of serum GFAP, pNFH, and S100β concentrations in dogs with complete spinal cord injury because of intervertebral disc extrusion. Journal of Veterinary Internal Medicine. 33(2). 726–734. 29 indexed citations

11.

Lewis, Melissa J., Eric B. Laber, & Natasha J. Olby. (2018). Predictors of Response to 4-Aminopyridine in Chronic Canine Spinal Cord Injury. Journal of Neurotrauma. 36(9). 1428–1434. 9 indexed citations

12.

Fenn, Joe, Eric B. Laber, Kim Williams, et al.. (2017). Associations Between Anesthetic Variables and Functional Outcome in Dogs With Thoracolumbar Intervertebral Disk Extrusion Undergoing Decompressive Hemilaminectomy. Journal of Veterinary Internal Medicine. 31(3). 814–824. 17 indexed citations

13.

Wu, Fan, Eric B. Laber, Ilya Lipkovich, & Emanuel Severus. (2015). Who will benefit from antidepressants in the acute treatment of bipolar depression? A reanalysis of the STEP-BD study by Sachs et al. 2007, using Q-learning. International Journal of Bipolar Disorders. 3(1). 7–7. 8 indexed citations

14.

Huang, Yijian, Eric B. Laber, & Holly Janes. (2014). Characterizing expected benefits of biomarkers in treatment selection. Biostatistics. 16(2). 383–399. 11 indexed citations

15.

Shortreed, Susan M., Eric B. Laber, T. Scott Stroup, Joëlle Pineau, & Susan A. Murphy. (2014). A multiple imputation strategy for sequential multiple assignment randomized trials. Statistics in Medicine. 33(24). 4202–4214. 39 indexed citations

16.

Laber, Eric B., Kristin A. Linn, & Leonard A. Stefanski. (2014). Interactive model building for Q-learning. Biometrika. 101(4). 831–847. 41 indexed citations

17.

Laber, Eric B., Daniel J. Lizotte, Min Qian, William E. Pelham, & Susan A. Murphy. (2014). Dynamic treatment regimes: Technical challenges and applications. Electronic Journal of Statistics. 8(1). 1225–1272. 95 indexed citations

18.

Lim, Ji‐Hey, et al.. (2014). Potassium Channel Antagonists 4-Aminopyridine and the T-Butyl Carbamate Derivative of 4-Aminopyridine Improve Hind Limb Function in Chronically Non-Ambulatory Dogs; A Blinded, Placebo-Controlled Trial. PLoS ONE. 9(12). e116139–e116139. 21 indexed citations

19.

Zeng, Donglin, et al.. (2014). New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes. Journal of the American Statistical Association. 110(510). 583–598. 145 indexed citations

20.

Chakraborty, Bibhas, Eric B. Laber, & Ying‐Qi Zhao. (2013). Inference for Optimal Dynamic Treatment Regimes Using an Adaptive m‐Out‐of‐n Bootstrap Scheme. Biometrics. 69(3). 714–723. 67 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.

Explore authors with similar magnitude of impact