Maya Petersen
Impact in
- Infectious Diseases top 1%
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
- Statistics and Probability top 1%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
-
- HIV/AIDS Research and Interventions 22
- SARS-CoV-2 and COVID-19 Research 5
- SARS-CoV-2 detection and testing 5
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- Advanced Causal Inference Techniques 14
- Statistical Methods and Inference 9
- Statistical Methods and Bayesian Inference 7
- Co-authors
- Mark J. van der Laan (14 shared papers)Mark van der Laan (8 shared papers)Romain Pirracchio (2 shared papers)Erin LeDell (3 shared papers)Diane V. Havlir (33 shared papers)Marco Carone (1 shared paper)Matthieu Resche‐Rigon (1 shared paper)Sylvie Chevret (1 shared paper)
- Journals
- AIDS (7 papers)Journal of the International AIDS Society (5 papers)JAIDS Journal of Acquired Immune Deficiency Syndromes (5 papers)American Journal of Epidemiology (5 papers)Clinical Infectious Diseases (4 papers)
- Partner nations
- United StatesKenyaUganda
In The Last Decade
Maya Petersen
69 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 162
- Infectious Diseases 912
- Statistics and Probability 390
- Virology 149
- Modeling and Simulation 99
- Health Informatics 27
Countries citing papers authored by Maya Petersen
This map shows the geographic impact of Maya Petersen'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 Petersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Petersen more than expected).
Fields of papers citing papers by Maya Petersen
This network shows the impact of papers produced by Maya Petersen. 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 Petersen. The network helps show where Maya Petersen may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Petersen, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 255 | |
| 2 | 2010 | 228 | |
| 3 | 2015 | 213 | |
| 4 | 2015 | 168 | |
| 5 | 2014 | 144 | |
| 6 | 2020 | 124 | |
| 7 | 2014 | 123 | |
| 8 | 2007 | 116 | |
| 9 | 2008 | 110 | |
| 10 | 2014 | 102 | |
| 11 | 2020 | 76 | |
| 12 | 2014 | 76 | |
| 13 | 2003 | 73 | |
| 14 | 2020 | 56 | |
| 15 | 2007 | 51 | |
| 16 | 2017 | 50 | |
| 17 | 2016 | 48 | |
| 18 | 2020 | 43 | |
| 19 | 2021 | 43 | |
| 20 | 2015 | 42 |
About Maya Petersen
Maya Petersen is a scholar working on Infectious Diseases, Statistics and Probability, Epidemiology, Economics and Econometrics and Modeling and Simulation, having authored 75 papers that have together received 2.7k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (22 papers), Advanced Causal Inference Techniques (14 papers), Statistical Methods and Inference (9 papers), Statistical Methods and Bayesian Inference (7 papers), COVID-19 epidemiological studies (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), SARS-CoV-2 detection and testing (5 papers) and Vaccine Coverage and Hesitancy (4 papers). The work is most often cited by research in Infectious Diseases (912 citations), Statistics and Probability (390 citations), Virology (149 citations), Modeling and Simulation (99 citations) and Health Informatics (27 citations). Maya Petersen has collaborated with scholars based in United States, Kenya and Uganda. Frequent co-authors include Mark J. van der Laan, Mark van der Laan, Romain Pirracchio, Erin LeDell, Diane V. Havlir, Marco Carone, Matthieu Resche‐Rigon, Sylvie Chevret, Elvin Geng and Steven G. Deeks. Their work appears in journals such as AIDS, Journal of the International AIDS Society, JAIDS Journal of Acquired Immune Deficiency Syndromes, American Journal of Epidemiology and Clinical Infectious Diseases.
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.