Dick Chamla

412 citations
33 papers · 270 · h-index 10

Impact in

Papers in

Dick Chamla

30 papers receiving 258 citations

Peers

Dick Chamla
Comparison fields: 5 of 59
  • Infectious Diseases 155
  • Modeling and Simulation 23
  • Pediatrics, Perinatology and Child Health 80
  • Virology 19
  • General Health Professions 85
Replace Lazáro Gonzaléz‐Calvo with:
Lazáro Gonzaléz‐Calvo United States
Sambe Duale United States
William Muhwava United Kingdom
Robinah Najjemba Belgium
Ishani Pathmanathan United States
Malika Bouhenia Switzerland
Siphephelo Dlamini South Africa
Kelly Gate South Africa
Dickens Onyango Kenya
Geeta Pardeshi India
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Citations per field
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Lazáro Gonzaléz‐Calvo · 1×
Citations per year

Countries citing papers authored by Dick Chamla

Since Specialization
Citations

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

Fields of papers citing papers by Dick Chamla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201549
2 200729
3 201328
4 201918
5 201515
6 201014
7 201611
8 200511
9 201510
10 201810
11 20159
12 20179
13 20248
14 20256
15 20196
16 20155
17 20163
18 20233
19 20163
20 20233

About Dick Chamla

Dick Chamla is a scholar working on Infectious Diseases, General Health Professions, Pediatrics, Perinatology and Child Health, Health and Epidemiology, having authored 33 papers that have together received 270 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (12 papers), Global Maternal and Child Health (9 papers), Viral Infections and Outbreaks Research (9 papers), Vaccine Coverage and Hesitancy (8 papers), Disaster Response and Management (6 papers), COVID-19 epidemiological studies (6 papers), Adolescent Sexual and Reproductive Health (5 papers) and Child Nutrition and Water Access (5 papers). The work is most often cited by research in Infectious Diseases (155 citations), Modeling and Simulation (23 citations), Pediatrics, Perinatology and Child Health (80 citations), Virology (19 citations) and General Health Professions (85 citations). Dick Chamla has collaborated with scholars based in United States, Nigeria and Switzerland. Frequent co-authors include Olushayo Oluseun Olu, Solomon Fisseha Woldetsadik, Abdulmumini Usman, O Walker, Chewe Luo, Sam Okware, Craig McClure, Eddie Mukooyo, Nandita Sugandhi and Scott Kellerman. Their work appears in journals such as Journal of the International AIDS Society, Current Opinion in HIV and AIDS, Frontiers in Public Health, Conflict and Health and BMJ Global Health.

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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