Grace Arnot

401 citations
28 papers · 242 · h-index 9

Impact in

Papers in

Grace Arnot

27 papers receiving 239 citations

Peers

Grace Arnot
Comparison fields: 5 of 39
  • Organizational Behavior and Human Resource Management 74
  • Clinical Psychology 34
  • Sociology and Political Science 69
  • General Health Professions 28
  • Health 8
Replace Elyse Warner with:
Elyse Warner Australia
Janusz Sierosławski Poland
Simone McCarthy Australia
Stephanie L. Morris United Kingdom
Wendy Collins Perdue United States
Cassandra de Lacy‐Vawdon Australia
Lucie Hooper United Kingdom
Sandhya V. Shimoga United States
Julia Stafford Australia
Chunhui Suh South Korea
Grace Arnot relative to Elyse Warner Australia Elyse Warner's profile →
Citations per field
00.5×1.5×2×2.5×
Elyse Warner · 1×
Citations per year

Countries citing papers authored by Grace Arnot

Since Specialization
Citations

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

Fields of papers citing papers by Grace Arnot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Grace Arnot, 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 Grace Arnot Line = papers co-authored together Grace Arnot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

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About Grace Arnot

Grace Arnot is a scholar working on Organizational Behavior and Human Resource Management, Sociology and Political Science, Clinical Psychology, Marketing and Gender Studies, having authored 28 papers that have together received 242 indexed citations. Recurring topics across this work include Global Public Health Policies and Epidemiology (12 papers), Gambling Behavior and Treatments (5 papers), Climate Change Communication and Perception (5 papers), Smoking Behavior and Cessation (3 papers), Menopause: Health Impacts and Treatments (3 papers), Sports, Gender, and Society (3 papers), Consumer Behavior in Brand Consumption and Identification (3 papers) and Physical Education and Sports Studies (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (74 citations), Clinical Psychology (34 citations), Sociology and Political Science (69 citations), General Health Professions (28 citations) and Health (8 citations). Grace Arnot has collaborated with scholars based in Australia, Ireland and Canada. Frequent co-authors include Hannah Pitt, Samantha L. Thomas, Simone McCarthy, Elyse Warner, Marita Hennessy, Melanie Randle, Mike Daube, Julia Stafford, Florentine Petronella Martino and Sylvia Kairouz. Their work appears in journals such as Health Promotion International, BMC Public Health, Health Promotion Journal of Australia, Australian and New Zealand Journal of Public Health and Globalization and Health.

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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