Chris May

1.2k citations
36 papers · 715 · h-index 15

Impact in

Papers in

Chris May

35 papers receiving 685 citations

Peers

Chris May
Comparison fields: 5 of 62
  • Clinical Psychology 259
  • Public Health, Environmental and Occupational Health 196
  • Emergency Medicine 44
  • Psychiatry and Mental health 61
  • General Health Professions 93
Replace Silke Pawils with:
Silke Pawils Germany
Anne Valentine United States
Fábio Monteiro da Cunha Coelho Brazil
Robyne M. Le Brocque Australia
Jade Sheen Australia
Cheryl Anne Boyce United States
Bernard Kabuth France
Tova B. Walsh United States
Doron Amsalem United States
Emily Frosch United States
Chris May relative to Silke Pawils Germany Silke Pawils's profile →
Citations per field
00.5×6.3×
Silke Pawils · 1×
Citations per year

Countries citing papers authored by Chris May

Since Specialization
Citations

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

Fields of papers citing papers by Chris May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201974
2 201269
3 200465
4 201563
5 201950
6 200235
7 201631
8 200330
9 201730
10 201130
11 201926
12 201924
13 201722
14 201622
15 201317
16 201714
17 201314
18 201713
19 201812
20 201810

About Chris May

Chris May is a scholar working on Clinical Psychology, Public Health, Environmental and Occupational Health, General Health Professions, Epidemiology and Emergency Medicine, having authored 36 papers that have together received 715 indexed citations. Recurring topics across this work include Maternal Mental Health During Pregnancy and Postpartum (9 papers), Child and Adolescent Psychosocial and Emotional Development (7 papers), Child Development and Digital Technology (5 papers), Mobile Health and mHealth Applications (4 papers), Family and Disability Support Research (4 papers), Breastfeeding Practices and Influences (4 papers), Obesity, Physical Activity, Diet (3 papers) and Attachment and Relationship Dynamics (3 papers). The work is most often cited by research in Clinical Psychology (259 citations), Public Health, Environmental and Occupational Health (196 citations), Emergency Medicine (44 citations), Psychiatry and Mental health (61 citations) and General Health Professions (93 citations). Chris May has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Richard Fletcher, Tracy Burrows, Li Kheng Chai, Clare E. Collins, Allan House, Louise Newman, Ian Dempsey, Navneet Kapur, Carl Holder and Katherine Brain. Their work appears in journals such as Journal of Reproductive and Infant Psychology, Journal of Autism and Developmental Disorders, Journal of Telemedicine and Telecare, Journal of Medical Internet Research and General Hospital Psychiatry.

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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