Mandy Cassimatis

433 citations
14 papers · 329 · h-index 7

Impact in

Papers in

Mandy Cassimatis

11 papers receiving 318 citations

Peers

Mandy Cassimatis
Comparison fields: 5 of 54
  • Applied Psychology 34
  • Human-Computer Interaction 21
  • Clinical Psychology 59
  • Endocrinology, Diabetes and Metabolism 42
  • Family Practice 6
Replace Claire Bourne with:
Claire Bourne United Kingdom
Leonie Naeije Netherlands
Andrew G. Hall United Kingdom
Vivian M. Yeh United States
Drew K. Saylor United States
Gaby Anne Wildenbos Netherlands
Jennifer E. S. Beauchamp United States
Saki Amagai United States
Amy R. Schwartz United States
Diana Stewart Hoover United States
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Citations per field
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Citations per year

Countries citing papers authored by Mandy Cassimatis

Since Specialization
Citations

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

Fields of papers citing papers by Mandy Cassimatis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mandy Cassimatis, 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 Mandy Cassimatis Line = papers co-authored together Mandy Cassimatis links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2014130
2 201258
3 201747
4 202129
5 201017
6 201416
7 201614
8 20157
9 20155
10 20223
11 20232
12 20211
13
Modifying lifestyle behaviours to improve the prevention and management of cardiovascular disease
20170
14 20250

About Mandy Cassimatis

Mandy Cassimatis is a scholar working on Applied Psychology, Endocrinology, Diabetes and Metabolism, Human-Computer Interaction, Statistics, Probability and Uncertainty and Communication, having authored 14 papers that have together received 329 indexed citations. Recurring topics across this work include Diabetes Management and Education (5 papers), Digital Mental Health Interventions (3 papers), Behavioral Health and Interventions (3 papers), Communication and COVID-19 Impact (1 paper), Telemedicine and Telehealth Implementation (1 paper), Smoking Behavior and Cessation (1 paper), Global Cancer Incidence and Screening (1 paper) and Diverse Aspects of Tourism Research (1 paper). The work is most often cited by research in Applied Psychology (34 citations), Human-Computer Interaction (21 citations), Clinical Psychology (59 citations), Endocrinology, Diabetes and Metabolism (42 citations) and Family Practice (6 citations). Mandy Cassimatis has collaborated with scholars based in Australia, United States and Finland. Frequent co-authors include David John Kavanagh, Gerald F.X. Feeney, Matthew J. Gullo, Ross McD. Young, Dixie J. Statham, Jon May, Jason P. Connor, Jackie Andrade, Anthony Carl Smith and Bonnie A. Clough. Their work appears in journals such as Journal of Medical Internet Research, BMC Cancer, Journal of Health Psychology, Australian Psychologist and Addiction.

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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