Devaka Fernando

523 citations
12 papers · 355 indexed · h-index 4

Impact in

Papers in

Devaka Fernando

10 papers receiving 322 citations

Peers

Devaka Fernando
Comparison fields: 5 of 59
  • Rehabilitation 156
  • Occupational Therapy 90
  • Endocrinology, Diabetes and Metabolism 300
  • Orthopedics and Sports Medicine 81
  • Dermatology 76
Replace Seena Rajasekar with:
Seena Rajasekar India
A FOSTER United Kingdom
James W. Stavosky United States
Douglas P. Murdoch United States
Catherine Gooday United Kingdom
Geoffrey Habershaw United States
Jeff Van Baal Netherlands
Mark P. Slovenkai United States
Charles A. Patout United States
H. H. Wetz Germany
Devaka Fernando relative to Seena Rajasekar India Seena Rajasekar's profile →
Citations per field
00.5×3.1×
Seena Rajasekar · 1×
Citations per year

Countries citing papers authored by Devaka Fernando

Since Specialization
Citations

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

Fields of papers citing papers by Devaka Fernando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Devaka Fernando, 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 Devaka Fernando Line = papers co-authored together Devaka Fernando links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1991257
2 198967
3 200613
4 20155
5
Feasibility of Using Different Approaches for Recruiting Younger Twins for Sri Lankan Twin Registry
20013
6 20163
7 20242
8 19912
9
Early Report on the Availability of Island Wide Twin Data in the Central Birth Registration Department
20011
10 20061
11 20141
12 20240

About Devaka Fernando

Devaka Fernando is a scholar working on Endocrinology, Diabetes and Metabolism, Occupational Therapy, Pediatrics, Perinatology and Child Health, Health Information Management and Orthopedics and Sports Medicine, having authored 12 papers that have together received 355 indexed citations. Recurring topics across this work include Diabetic Foot Ulcer Assessment and Management (3 papers), Electronic Health Records Systems (2 papers), Hormonal Regulation and Hypertension (2 papers), Pressure Ulcer Prevention and Management (2 papers), Adrenal Hormones and Disorders (2 papers), Thyroid Disorders and Treatments (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Emergency and Acute Care Studies (1 paper). The work is most often cited by research in Rehabilitation (156 citations), Occupational Therapy (90 citations), Endocrinology, Diabetes and Metabolism (300 citations), Orthopedics and Sports Medicine (81 citations) and Dermatology (76 citations). Devaka Fernando has collaborated with scholars based in United Kingdom and India. Frequent co-authors include Andrew J.M. Boulton, Aristidis Veves, E. A. Masson, Athula Sumathipala, Bethan Barker, George Thomson, Chris Dickens, Iskandar Idris, Sisira Siribaddana and Abilash Sathyanarayanan. Their work appears in journals such as Journal of Telemedicine and Telecare, Diabetes Care, Twin Research and Human Genetics, Journal of Biomedical Nanotechnology and British Journal of Hospital Medicine.

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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