James Chirombo

612 citations
25 papers · 192 · h-index 7

Impact in

Papers in

James Chirombo

20 papers receiving 191 citations

Peers

James Chirombo
Comparison fields: 5 of 60
  • Public Health, Environmental and Occupational Health 124
  • Modeling and Simulation 13
  • Parasitology 13
  • Ecological Modeling 7
  • Infectious Diseases 20
Replace Prathiba M. De Silva with:
Prathiba M. De Silva United Kingdom
Dawit Hawaria Ethiopia
Dismas Baza Belgium
Grades Stanley Tanzania
Sangamithra Ravishankaran India
Zawadi Mageni United Kingdom
Margarete S. Gomes Brazil
Hiwot Solomon Taffese Ethiopia
Jennifer Rozier United Kingdom
Alexis Rulisa Rwanda
James Chirombo relative to Prathiba M. De Silva United Kingdom Prathiba M. De Silva's profile →
Citations per field
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Prathiba M. De Silva · 1×
Citations per year

Countries citing papers authored by James Chirombo

Since Specialization
Citations

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

Fields of papers citing papers by James Chirombo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201369
2 201425
3 202023
4 202012
5 202012
6 202011
7 20238
8 20226
9 20235
10 20213
11 20223
12 20233
13 20253
14 20232
15 20242
16 20251
17
A platform to integrate climate information and rural telemedicine in Malawi
20121
18 20231
19 20141
20 20191

About James Chirombo

James Chirombo is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Parasitology, Ecology and Ecological Modeling, having authored 25 papers that have together received 192 indexed citations. Recurring topics across this work include Malaria Research and Control (9 papers), Parasites and Host Interactions (4 papers), Pneumonia and Respiratory Infections (3 papers), Species Distribution and Climate Change (2 papers), Mosquito-borne diseases and control (2 papers), Zoonotic diseases and public health (2 papers), Vaccine Coverage and Hesitancy (1 paper) and Remote Sensing in Agriculture (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (124 citations), Modeling and Simulation (13 citations), Parasitology (13 citations), Ecological Modeling (7 citations) and Infectious Diseases (20 citations). James Chirombo has collaborated with scholars based in Malawi, United Kingdom and United States. Frequent co-authors include Rachel Lowe, Adrian M. Tompkins, Lawrence N. Kazembe, Themba Mzilahowa, Henk van den Berg, Peter J. Diggle, Madeleine C. Thomson, Constantianus J. M. Koenraadt, Christopher M. Jones and Willem Takken. Their work appears in journals such as Malaria Journal, BMJ Open, Parasites & Vectors, Scientific Reports and PLoS neglected tropical diseases.

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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