Layla Parast
Impact in
- Statistics and Probability top 2%
- Advanced Causal Inference Techniques
- Statistical Methods in Clinical Trials
- Emergency Medicine top 2%
- Cardiac Arrest and Resuscitation
Papers in
-
- Advanced Causal Inference Techniques 24
- Statistical Methods in Clinical Trials 16
- Statistical Methods and Inference 12
- Statistical Methods and Bayesian Inference 7
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- Health Systems, Economic Evaluations, Quality of Life 14
- Co-authors
- Tianxi Cai (20 shared papers)Marc N. Elliott (29 shared papers)Paul J. Sharek (3 shared papers)Lü Tian (17 shared papers)Elizabeth J. D’Amico (12 shared papers)J Sullivan (2 shared papers)Stephen J. Roth (1 shared paper)Kit Leong (1 shared paper)
- Journals
- Statistics in Medicine (12 papers)Biometrics (8 papers)Academic Pediatrics (7 papers)PEDIATRICS (7 papers)Lifetime Data Analysis (3 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Layla Parast
104 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 127
- Statistics and Probability 208
- Emergency Medicine 200
- Emergency Medical Services 129
- Health Information Management 70
- Internal Medicine 43
Countries citing papers authored by Layla Parast
This map shows the geographic impact of Layla Parast'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 Layla Parast with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Layla Parast more than expected).
Fields of papers citing papers by Layla Parast
This network shows the impact of papers produced by Layla Parast. 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 Layla Parast. The network helps show where Layla Parast may publish in the future.
Co-authors
The 25 scholars most cited alongside Layla Parast, 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 272 | |
| 2 | 2010 | 115 | |
| 3 | 2010 | 99 | |
| 4 | 2017 | 99 | |
| 5 | 2018 | 91 | |
| 6 | 2010 | 83 | |
| 7 | 2021 | 72 | |
| 8 | 2011 | 68 | |
| 9 | 2017 | 64 | |
| 10 | 2012 | 56 | |
| 11 | 2016 | 49 | |
| 12 | 2010 | 48 | |
| 13 | 2019 | 47 | |
| 14 | 2018 | 41 | |
| 15 | 2019 | 33 | |
| 16 | 2016 | 33 | |
| 17 | 2015 | 32 | |
| 18 | 2009 | 31 | |
| 19 | 2018 | 28 | |
| 20 | 2014 | 28 |
About Layla Parast
Layla Parast is a scholar working on Statistics and Probability, Economics and Econometrics, General Health Professions, Epidemiology and Public Health, Environmental and Occupational Health, having authored 108 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (24 papers), Statistical Methods in Clinical Trials (16 papers), Health Systems, Economic Evaluations, Quality of Life (14 papers), Statistical Methods and Inference (12 papers), Substance Abuse Treatment and Outcomes (9 papers), Patient Satisfaction in Healthcare (9 papers), Palliative Care and End-of-Life Issues (9 papers) and Statistical Methods and Bayesian Inference (7 papers). The work is most often cited by research in Statistics and Probability (208 citations), Emergency Medicine (200 citations), Emergency Medical Services (129 citations), Health Information Management (70 citations) and Internal Medicine (43 citations). Layla Parast has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Tianxi Cai, Marc N. Elliott, Paul J. Sharek, Lü Tian, Elizabeth J. D’Amico, J Sullivan, Stephen J. Roth, Kit Leong, Eric R. Pedersen and Lorry R. Frankel. Their work appears in journals such as Statistics in Medicine, Biometrics, Academic Pediatrics, PEDIATRICS and Lifetime Data Analysis.
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.