Devina Nand

14 papers receiving 96 citations

Peers

Devina Nand
Comparison fields: 5 of 46
  • Modeling and Simulation 15
  • Health 18
  • Infectious Diseases 31
  • Microbiology 9
  • Organizational Behavior and Human Resource Management 12
Replace Clare Sawyer with:
Clare Sawyer United Kingdom
Miriam Schneidman United States
Endalkachew Belayneh Melese Ethiopia
Moritz U. G. Kraemer United Kingdom
Samuel Yohannes Ayanto Ethiopia
Ashish Satav India
Peyton Thompson United States
Judit Villar Spain
Noah Olabode Olaleke Nigeria
Elizabeth Cafiero United States
Devina Nand relative to Clare Sawyer United Kingdom Clare Sawyer's profile →
Citations per field
00.5×
Clare Sawyer · 1×
Citations per year

Countries citing papers authored by Devina Nand

Since Specialization
Citations

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

Fields of papers citing papers by Devina Nand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202014
2 201914
3 201913
4 201911
5 201910
6 20198
7 20206
8 20176
9 20215
10 20225
11 20214
12 20232
13 20192
14 20232
15 20250

About Devina Nand

Devina Nand is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Organizational Behavior and Human Resource Management, General Health Professions and Infectious Diseases, having authored 15 papers that have together received 102 indexed citations. Recurring topics across this work include Global Public Health Policies and Epidemiology (4 papers), Pneumonia and Respiratory Infections (3 papers), Emergency and Acute Care Studies (2 papers), Nutritional Studies and Diet (2 papers), Disaster Response and Management (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Medical Coding and Health Information (1 paper) and Food Security and Health in Diverse Populations (1 paper). The work is most often cited by research in Modeling and Simulation (15 citations), Health (18 citations), Infectious Diseases (31 citations), Microbiology (9 citations) and Organizational Behavior and Human Resource Management (12 citations). Devina Nand has collaborated with scholars based in Fiji, Australia and United States. Frequent co-authors include Richard Taylor, Stephen Morrell, Chalapati Rao, Rita Reyburn, Aneley Getahun, Mohana Kunasekaran, C. Raina MacIntyre, Fiona M. Russell, David Heslop and Mike Kama. Their work appears in journals such as BMC Public Health, Western Pacific surveillance response journal, Primary care diabetes, The Lancet Global Health and The Lancet Regional Health - Western Pacific.

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.

Explore authors with similar magnitude of impact