Peter Dambach

56 papers receiving 988 citations

Peers

Peter Dambach
Comparison fields: 5 of 100
  • Public Health, Environmental and Occupational Health 435
  • Modeling and Simulation 56
  • Infectious Diseases 146
  • Insect Science 73
  • Health, Toxicology and Mutagenesis 56
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Imelda K. Moise United States
Harry S. Gibson United Kingdom
Julie A. Clennon United States
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Aline Araújo Nobre Brazil
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Citations per year

Countries citing papers authored by Peter Dambach

Since Specialization
Citations

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

Fields of papers citing papers by Peter Dambach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014120
2 201270
3 202069
4 200951
5 201450
6 202043
7 202039
8 201936
9 202135
10 201630
11 201928
12 201828
13 202225
14 202224
15 201424
16 201823
17 202222
18 202021
19 201420
20
Spatial analysis of tuberculosis in Douala, Cameroon: Clustering and links with socio-economic status
201419

About Peter Dambach

Peter Dambach is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions, Health, Toxicology and Mutagenesis, Pediatrics, Perinatology and Child Health and Infectious Diseases, having authored 60 papers that have together received 1.0k indexed citations. Recurring topics across this work include Malaria Research and Control (18 papers), Mosquito-borne diseases and control (14 papers), Climate Change and Health Impacts (6 papers), Global Maternal and Child Health (4 papers), Healthcare Systems and Reforms (4 papers), Energy and Environment Impacts (3 papers), Tuberculosis Research and Epidemiology (3 papers) and Sex work and related issues (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (435 citations), Modeling and Simulation (56 citations), Infectious Diseases (146 citations), Insect Science (73 citations) and Health, Toxicology and Mutagenesis (56 citations). Peter Dambach has collaborated with scholars based in Germany, United States and Burkina Faso. Frequent co-authors include Rainer Sauerborn, Ali Sié, Valérie R. Louis, Olaf Horstick, Norbert Becker, Volker Winkler, Revati Phalkey, Andreas Deckert, Cécile Vignolles and Vanessa Machault. Their work appears in journals such as BMC Public Health, Global Health Action, Malaria Journal, JMIR mhealth and uhealth and International Journal of Environmental Research and Public 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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