Rumi Chunara

5.5k citations
79 papers · 3.5k indexed · 2 hit papers · h-index 27
Topics
Data-Driven Disease Surveillance (24 papers)COVID-19 epidemiological studies (14 papers)Influenza Virus Research Studies (8 papers)
Journals
SHILAP Revista de lepidopterologíaApplied Physics LettersPLoS ONE

In The Last Decade

Rumi Chunara

73 papers receiving 3.4k citations

Hit Papers

COVID-19 transforms health care through telemedicine: Evi...202020262022202420202020250500750

Peers

Rumi Chunara
Comparison fields: 5 of 176
  • Epidemiology 1.1k
  • Public Health, Environmental and Occupational Health 1.1k
  • General Health Professions 792
  • Sociology and Political Science 500
  • Oncology 428
Replace Elaine O. Nsoesie with:
Elaine O. Nsoesie United States
Alain Labrique United States
Felix Greaves United Kingdom
Sean D. Young United States
Ben Y. Reis United States
Philip M. Polgreen United States
Mehdi Khan United Kingdom
Jennifer M. McGoogan China
Mauricio Santillana United States
Adi V. Gundlapalli United States
Rumi Chunara relative to Elaine O. Nsoesie United States Elaine O. Nsoesie's profile →
Citations per field
00.5×4.2×
Elaine O. Nsoesie · 1×
Citations per year

Countries citing papers authored by Rumi Chunara

Since Specialization
Citations

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

Fields of papers citing papers by Rumi Chunara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rumi Chunara

This figure shows the co-authorship network connecting the top 25 collaborators of Rumi Chunara. A scholar is included among the top collaborators of Rumi Chunara based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rumi Chunara. Rumi Chunara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 2
4 3
5 4
6 18
7 1
8 7
9 8
10 14
11 28
12 18
13 9
14
Deep Landscape Features for Improving Vector-borne Disease Prediction
4
15 42
16 10
17 27
18 98
19 57
20 57

About Rumi Chunara

Rumi Chunara is a scholar working on Modeling and Simulation, Health Informatics and Family Practice, having authored 79 papers that have together received 3.5k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (24 papers), COVID-19 epidemiological studies (14 papers) and Influenza Virus Research Studies (8 papers). The work is most often cited by research in Modeling and Simulation (420 citations), Health Informatics (102 citations) and Health (318 citations). Rumi Chunara has collaborated with scholars based in United States, Canada and Pakistan. Frequent co-authors include John S. Brownstein, David Mann, Paul Testa, Oded Nov, Ji Chen, Jason R. Andrews, Clark C. Freifeld, Qingyu Yuan, Mark S. Smolinski and Oktawia Wójcik. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

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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