Dev Kevat

25 papers receiving 257 citations

Peers

Dev Kevat
Comparison fields: 5 of 57
  • Obstetrics and Gynecology 99
  • Medical Terminology 1
  • Endocrinology, Diabetes and Metabolism 42
  • General Health Professions 60
  • Applied Psychology 5
Replace Katy Bartlett with:
Katy Bartlett United Kingdom
Joanne Given United Kingdom
Nizar Albache Syria
Maureen Makama Australia
Laura Forcén Acebal Spain
Janani Pinidiyapathirage Australia
Pavithra Vijayakumar United States
Surabhi Mishra India
Christina Louise Lindhardt Denmark
Jorge F. Elgart Argentina
Dev Kevat relative to Katy Bartlett United Kingdom Katy Bartlett's profile →
Citations per field
00.5×1.5×
Katy Bartlett · 1×
Citations per year

Countries citing papers authored by Dev Kevat

Since Specialization
Citations

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

Fields of papers citing papers by Dev Kevat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201479
2 201456
3 201121
4 201619
5 201512
6 20149
7 20218
8 20217
9 20237
10 20146
11 20216
12 20124
13 20134
14 20244
15 20173
16 20133
17
GDm-health: development of a real-time smartphone solution for the management of women with gestational diabetes mellitus (GDM)
20152
18
GDm-Health: A Pilot Study Examining Acceptability of Mobile Phone Assisted Remote Blood Glucose Monitoring for Women with Gestational Diabetes Mellitus
20142
19 20122
20 20142

About Dev Kevat

Dev Kevat is a scholar working on General Health Professions, Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health and Genetics, having authored 30 papers that have together received 261 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (9 papers), Mobile Health and mHealth Applications (7 papers), Diabetes Management and Research (4 papers), Pharmaceutical industry and healthcare (2 papers), Diabetes and associated disorders (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Clinical practice guidelines implementation (2 papers) and Infection Control and Ventilation (1 paper). The work is most often cited by research in Obstetrics and Gynecology (99 citations), Medical Terminology (1 citation), Endocrinology, Diabetes and Metabolism (42 citations), General Health Professions (60 citations) and Applied Psychology (5 citations). Dev Kevat has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Lucy Mackillop, Oliver Gibson, Katy Bartlett, Jane E. Hirst, Lionel Tarassenko, Lise Loerup, Yvonne Kenworthy, Jonathan Lévy, Andrew Farmer and Bebe Loff. Their work appears in journals such as The Medical Journal of Australia, Diabetic Medicine, Diabetes Research and Clinical Practice, Journal of Diabetes Science and Technology and The Lancet.

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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