Eric B. Laber
Impact in
- Statistics and Probability top 0.2%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
- Statistical Methods and Bayesian Inference
- Health Informatics top 5%
Papers in
-
- Advanced Causal Inference Techniques 39
- Statistical Methods and Inference 28
- Statistical Methods in Clinical Trials 25
- Statistical Methods and Bayesian Inference 5
-
- Health Systems, Economic Evaluations, Quality of Life 13
- Co-authors
- Marie Davidian (23 shared papers)Anastasios A. Tsiatis (16 shared papers)Michael R. Kosorok (11 shared papers)Jesse Clifton (3 shared papers)Ying‐Qi Zhao (10 shared papers)Baqun Zhang (3 shared papers)Susan A. Murphy (9 shared papers)Daniel J. Lizotte (5 shared papers)
- Journals
- Journal of the American Statistical Association (13 papers)Biometrics (8 papers)Biometrika (5 papers)Statistics in Medicine (4 papers)Annual Review of Statistics and Its Application (2 papers)
- Partner nations
- United StatesCanadaSingapore
In The Last Decade
Eric B. Laber
89 papers receiving 3.2k citations
Eric B. Laber's Hit Papers
Peers
Comparison fields: 5 of 171
- Statistics and Probability 1.6k
- Health Informatics 33
- Economics and Econometrics 488
- Health, Toxicology and Mutagenesis 188
- Health Information Management 55
Countries citing papers authored by Eric B. Laber
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
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-authors
The 25 scholars most cited alongside Eric B. Laber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Q-Learning: Theory and Applications Hit paper breakdown → | 2020 | 295 |
| 2 | 2012 | 288 | |
| 3 | Precision Medicine Hit paper breakdown → | 2019 | 239 |
| 4 | 2015 | 221 | |
| 5 | 2012 | 162 | |
| 6 | 2014 | 160 | |
| 7 | 2015 | 119 | |
| 8 | 2010 | 117 | |
| 9 | 2013 | 115 | |
| 10 | 2014 | 109 | |
| 11 | 2014 | 88 | |
| 12 | 2013 | 78 | |
| 13 | 2015 | 70 | |
| 14 | 2017 | 62 | |
| 15 | 2019 | 61 | |
| 16 | 2017 | 52 | |
| 17 | 2015 | 48 | |
| 18 | 2014 | 46 | |
| 19 | 2014 | 45 | |
| 20 | 2014 | 44 |
About Eric B. Laber
Eric B. Laber is a scholar working on Statistics and Probability, Economics and Econometrics, Artificial Intelligence, Small Animals and Oncology, having authored 98 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (39 papers), Statistical Methods and Inference (28 papers), Statistical Methods in Clinical Trials (25 papers), Health Systems, Economic Evaluations, Quality of Life (13 papers), Mental Health Research Topics (5 papers), Cancer survivorship and care (5 papers), Machine Learning in Healthcare (5 papers) and Statistical Methods and Bayesian Inference (5 papers). The work is most often cited by research in Statistics and Probability (1.6k citations), Health Informatics (33 citations), Economics and Econometrics (488 citations), Health, Toxicology and Mutagenesis (188 citations) and Health Information Management (55 citations). Eric B. Laber has collaborated with scholars based in United States, Canada and Singapore. Frequent 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 Bibhas Chakraborty. Their work appears in journals such as Journal of the American Statistical Association, Biometrics, Biometrika, Statistics in Medicine and Annual Review of Statistics and Its Application.
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.