Layla Parast

3.1k citations
107 papers · 2.1k indexed · h-index 24

Impact in

Papers in

Layla Parast

102 papers receiving 2.1k citations

Peers

Layla Parast
Comparison fields: 5 of 135
  • Emergency Medicine 396
  • Emergency Medical Services 213
  • Statistics and Probability 226
  • General Health Professions 557
  • Health Information Management 100
Replace Neera Bhatnagar with:
Neera Bhatnagar Canada
Anna Cantrell United Kingdom
Jill Mollison United Kingdom
Lawrence C. Kleinman United States
Eduardo Bergel Argentina
Edward B. Perrin United States
Jane G. Zapka United States
Brian Haynes Canada
Scott A. Lorch United States
Demetrios Kyriacou United States
Layla Parast relative to Neera Bhatnagar Canada Neera Bhatnagar's profile →
Citations per field
00.5×3.7×
Neera Bhatnagar · 1×
Citations per year

Countries citing papers authored by Layla Parast

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Layla Parast Line = papers co-authored together Layla Parast links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20243
3 202419
4 20244
5 20237
6 20232
7 20220
8 202110
9 20209
10 202017
11 20204
12 20195
13 20181
14 20179
15 201715
16 201722
17 201217
18 201168
19 2010114
20 20095

About Layla Parast

Layla Parast is a scholar working on Statistics and Probability, Transplantation, General Health Professions, Emergency Medicine and Economics and Econometrics, having authored 107 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (26 papers), Statistical Methods in Clinical Trials (18 papers), Patient Satisfaction in Healthcare (16 papers), Health Systems, Economic Evaluations, Quality of Life (16 papers), Healthcare Policy and Management (15 papers), Statistical Methods and Inference (12 papers), Emergency and Acute Care Studies (11 papers) and Palliative Care and End-of-Life Issues (9 papers). The work is most often cited by research in Emergency Medicine (396 citations), Emergency Medical Services (213 citations), Statistics and Probability (226 citations), General Health Professions (557 citations) and Health Information Management (100 citations). Layla Parast has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Tianxi Cai, Marc N. Elliott, Paul J. Sharek, Lü Tian, J Sullivan, Elizabeth J. D’Amico, Stephen J. Roth, Kit Leong, Lorry R. Frankel and Eric R. Pedersen. Their work appears in journals such as Statistics in Medicine, Biometrics, PEDIATRICS, Academic Pediatrics and Journal of Palliative Medicine.

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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