Payal Agarwal

2.1k citations
60 papers · 1.1k indexed · h-index 19
Topics
Telemedicine and Telehealth Implementation (20 papers)Mobile Health and mHealth Applications (17 papers)Digital Mental Health Interventions (9 papers)

In The Last Decade

Payal Agarwal

55 papers receiving 1.1k citations

Peers

Payal Agarwal
Comparison fields: 5 of 108
  • General Health Professions 564
  • Public Health, Environmental and Occupational Health 373
  • Applied Psychology 175
  • Clinical Psychology 126
  • Endocrinology, Diabetes and Metabolism 113
Replace Geva Greenfield with:
Geva Greenfield United Kingdom
Bethany M. Kwan United States
Joanne Burns United States
Philippa Seaton New Zealand
Mark Merolli Australia
Roy Rosin United States
Anna Collard United Kingdom
Rianne van der Kleij Netherlands
Marise J. Kasteleyn Netherlands
Debbie Booth Australia
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Citations per field
00.5×1.5×2.3×
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Citations per year

Countries citing papers authored by Payal Agarwal

Since Specialization
Citations

This map shows the geographic impact of Payal Agarwal'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 Payal Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Payal Agarwal more than expected).

Fields of papers citing papers by Payal Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Payal Agarwal. 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 Payal Agarwal. The network helps show where Payal Agarwal may publish in the future.

Co-authorship network of co-authors of Payal Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Payal Agarwal. A scholar is included among the top collaborators of Payal Agarwal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Payal Agarwal. Payal Agarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 2
3 0
4 3
5 1
6 18
7 1
8 7
9 18
10 4
11 6
12 25
13 32
14 49
15 21
16 2
17 13
18 49
19 125
20 119

About Payal Agarwal

Payal Agarwal is a scholar working on Applied Psychology, Health Informatics and General Health Professions, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Telemedicine and Telehealth Implementation (20 papers), Mobile Health and mHealth Applications (17 papers) and Digital Mental Health Interventions (9 papers). The work is most often cited by research in Applied Psychology (175 citations), General Health Professions (564 citations) and Family Practice (29 citations). Payal Agarwal has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include R. Sacha Bhatia, James Shaw, Onil Bhattacharyya, Trevor Jamieson, Laura Desveaux, Ivy Wong, Nike Onabajo, Geetha Mukerji, Vess Stamenova and Jennifer Hensel. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Medical Internet Research and Developmental Medicine & Child Neurology.

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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