Maya B Mathur

94 papers and 2.9k indexed citations i.

About

Maya B Mathur is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Ecology. According to data from OpenAlex, Maya B Mathur has authored 94 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics and Probability, 22 papers in Statistics, Probability and Uncertainty and 11 papers in Ecology. Recurrent topics in Maya B Mathur’s work include Meta-analysis and systematic reviews (22 papers), Advanced Causal Inference Techniques (15 papers) and Statistical Methods in Clinical Trials (13 papers). Maya B Mathur is often cited by papers focused on Meta-analysis and systematic reviews (22 papers), Advanced Causal Inference Techniques (15 papers) and Statistical Methods in Clinical Trials (13 papers). Maya B Mathur collaborates with scholars based in United States, United Kingdom and Canada. Maya B Mathur's 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 Shelley Kind and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American Statistical Association and Annals of Internal Medicine.

In The Last Decade

Co-authorship network of co-authors of Maya B Mathur i

Fields of papers citing papers by Maya B Mathur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Maya B Mathur

Since Specialization
Citations

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).

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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