Daniel B. Rubin
Impact in
- Statistics and Probability top 0.5%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Methods in Clinical Trials
- Molecular Medicine top 2%
- Curcumin's Biomedical Applications
Papers in
-
- Statistical Methods and Inference 14
- Statistical Methods in Clinical Trials 12
- Statistical Methods and Bayesian Inference 11
- Advanced Causal Inference Techniques 6
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- EEG and Brain-Computer Interfaces 9
- Neural dynamics and brain function 8
- Co-authors
- Mark J. van der Laan (11 shared papers)Kenneth D. Miller (3 shared papers)Stephen D. Van Hooser (1 shared paper)Susan Canny (1 shared paper)Marie E. Egan (1 shared paper)Kai Du (1 shared paper)Michael J. Caplan (1 shared paper)Vanathy Rajendran (1 shared paper)
- Journals
- Clinical Infectious Diseases (11 papers)The International Journal of Biostatistics (7 papers)Neurology (5 papers)Journal of Clinical Oncology (4 papers)Neuron (3 papers)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Daniel B. Rubin
96 papers receiving 3.6k citations
Daniel B. Rubin's Hit Papers
Peers
Comparison fields: 5 of 171
- Statistics and Probability 658
- Molecular Medicine 227
- Applied Microbiology and Biotechnology 72
- Sensory Systems 170
- Cognitive Neuroscience 480
Countries citing papers authored by Daniel B. Rubin
This map shows the geographic impact of Daniel B. Rubin'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 Daniel B. Rubin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel B. Rubin more than expected).
Fields of papers citing papers by Daniel B. Rubin
This network shows the impact of papers produced by Daniel B. Rubin. 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 Daniel B. Rubin. The network helps show where Daniel B. Rubin may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel B. Rubin, 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Targeted Maximum Likelihood Learning Hit paper breakdown → | 2006 | 524 |
| 2 | 2004 | 472 | |
| 3 | 2015 | 214 | |
| 4 | 2015 | 195 | |
| 5 | 2019 | 175 | |
| 6 | 2020 | 134 | |
| 7 | 2006 | 118 | |
| 8 | 1997 | 116 | |
| 9 | 2015 | 101 | |
| 10 | 1994 | 88 | |
| 11 | 2018 | 87 | |
| 12 | 2013 | 85 | |
| 13 | 2020 | 82 | |
| 14 | Empirical efficiency maximization: improved locally efficient covariate adjustment in randomized experiments and survival analysis. | 2008 | 69 |
| 15 | 2008 | 63 | |
| 16 | Richter's transformation of chronic lymphocytic leukemia with Hodgkin's-like cells is associated with Epstein-Barr virus infection. | 1994 | 61 |
| 17 | 1995 | 59 | |
| 18 | 2014 | 59 | |
| 19 | 2012 | 59 | |
| 20 | 2015 | 51 |
About Daniel B. Rubin
Daniel B. Rubin is a scholar working on Statistics and Probability, Cognitive Neuroscience, Oncology, Neurology and Cellular and Molecular Neuroscience, having authored 104 papers that have together received 3.7k indexed citations. Recurring topics across this work include Statistical Methods and Inference (14 papers), Statistical Methods in Clinical Trials (12 papers), Statistical Methods and Bayesian Inference (11 papers), EEG and Brain-Computer Interfaces (9 papers), CAR-T cell therapy research (8 papers), Neural dynamics and brain function (8 papers), Advanced Causal Inference Techniques (6 papers) and Autoimmune Neurological Disorders and Treatments (5 papers). The work is most often cited by research in Statistics and Probability (658 citations), Molecular Medicine (227 citations), Applied Microbiology and Biotechnology (72 citations), Sensory Systems (170 citations) and Cognitive Neuroscience (480 citations). Daniel B. Rubin has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Mark J. van der Laan, Kenneth D. Miller, Stephen D. Van Hooser, Susan Canny, Marie E. Egan, Kai Du, Michael J. Caplan, Vanathy Rajendran, Scott A. Weiner and Gergely L. Lukács. Their work appears in journals such as Clinical Infectious Diseases, The International Journal of Biostatistics, Neurology, Journal of Clinical Oncology and Neuron.
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.