Maya B. Mathur
Impact in
- Applied Psychology top 2%
- Optimism, Hope, and Well-being
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- Meta-analysis and systematic reviews
Papers in
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- Advanced Causal Inference Techniques 16
- Statistical Methods in Clinical Trials 12
- Statistical Methods and Bayesian Inference 9
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- Meta-analysis and systematic reviews 22
- Co-authors
- Tyler J. VanderWeele (29 shared papers)David B. Reichling (8 shared papers)Peng Ding (3 shared papers)Corinne A. Riddell (1 shared paper)Ying Chen (5 shared papers)Nayer Khazeni (5 shared papers)Manisha Desai (10 shared papers)Christopher D. Gardner (6 shared papers)
- Journals
- Epidemiology (5 papers)Research Synthesis Methods (4 papers)American Journal of Epidemiology (4 papers)Royal Society Open Science (3 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Maya B. Mathur
98 papers receiving 3.7k citations
Maya B. Mathur's Hit Papers
Peers
Comparison fields: 5 of 181
- Applied Psychology 227
- Statistics, Probability and Uncertainty 291
- Aging 50
- Health 213
- Social Psychology 556
Countries citing papers authored by Maya B. Mathur
This map shows the geographic impact of Maya B. Mathur'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 Maya B. Mathur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya B. Mathur more than expected).
Fields of papers citing papers by Maya B. Mathur
This network shows the impact of papers produced by Maya B. Mathur. 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 Maya B. Mathur. The network helps show where Maya B. Mathur may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya B. Mathur, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Web Site and R Package for Computing E-values Hit paper breakdown → | 2018 | 521 |
| 2 | 2015 | 317 | |
| 3 | 2016 | 210 | |
| 4 | Outcome-Wide Longitudinal Designs for Causal Inference: A New Template for Empirical Studies Hit paper breakdown → | 2020 | 203 |
| 5 | 2020 | 201 | |
| 6 | 2018 | 199 | |
| 7 | Investigating the replicability of preclinical cancer biology Hit paper breakdown → | 2021 | 189 |
| 8 | 2018 | 135 | |
| 9 | 2021 | 110 | |
| 10 | 2020 | 99 | |
| 11 | 2019 | 98 | |
| 12 | Nurse Burnout and Patient Safety, Satisfaction, and Quality of Care Hit paper breakdown → | 2024 | 87 |
| 13 | 2021 | 80 | |
| 14 | 2019 | 74 | |
| 15 | 2009 | 74 | |
| 16 | 2017 | 71 | |
| 17 | 2018 | 69 | |
| 18 | 2020 | 69 | |
| 19 | 2019 | 68 | |
| 20 | 2014 | 63 |
About Maya B. Mathur
Maya B. Mathur is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Ecology, Sociology and Political Science and Economics and Econometrics, having authored 105 papers that have together received 3.9k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (22 papers), Advanced Causal Inference Techniques (16 papers), Statistical Methods in Clinical Trials (12 papers), Agriculture Sustainability and Environmental Impact (10 papers), Statistical Methods and Bayesian Inference (9 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Behavioral Health and Interventions (5 papers) and Food Waste Reduction and Sustainability (5 papers). The work is most often cited by research in Applied Psychology (227 citations), Statistics, Probability and Uncertainty (291 citations), Aging (50 citations), Health (213 citations) and Social Psychology (556 citations). Maya B. Mathur has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Tyler J. VanderWeele, David B. Reichling, Peng Ding, Corinne A. Riddell, Ying Chen, Nayer Khazeni, Manisha Desai, Christopher D. Gardner, Ariel Linden and Thomas N. Robinson. Their work appears in journals such as Epidemiology, Research Synthesis Methods, American Journal of Epidemiology, Royal Society Open Science and PLoS ONE.
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.