Daniel Kadobera

4.7k citations
91 papers · 919 indexed · h-index 18

Impact in

Papers in

Daniel Kadobera

70 papers receiving 893 citations

Peers

Daniel Kadobera
Comparison fields: 5 of 111
  • Modeling and Simulation 77
  • Infectious Diseases 301
  • Pediatrics, Perinatology and Child Health 310
  • Nutrition and Dietetics 202
  • Health 95
Replace Lauren S. Blum with:
Lauren S. Blum United States
Ajay Khera India
Notion Tafara Gombe Zimbabwe
Edgar Mulogo Uganda
Charfudin Sacoor Mozambique
Simon Kasasa Uganda
Amek Nyaguara Kenya
Kassahun Alemu Ethiopia
Caryl Feldacker United States
Elizabeth H. Shayo Tanzania
Daniel Kadobera relative to Lauren S. Blum United States Lauren S. Blum's profile →
Citations per field
00.5×1.5×
Lauren S. Blum · 1×
Citations per year

Countries citing papers authored by Daniel Kadobera

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kadobera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20240
5 20240
6 20241
7 20240
8 20240
9 20242
10 20235
11 20233
12 20232
13 202119
14 202112
15 202012
16 20204
17 201838
18 20179
19 201618
20 20110

About Daniel Kadobera

Daniel Kadobera is a scholar working on Modeling and Simulation, Infectious Diseases, Health, Virology and Nutrition and Dietetics, having authored 91 papers that have together received 919 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (17 papers), COVID-19 epidemiological studies (14 papers), Global Maternal and Child Health (14 papers), Child Nutrition and Water Access (13 papers), HIV/AIDS Research and Interventions (11 papers), Vaccine Coverage and Hesitancy (10 papers), Mosquito-borne diseases and control (10 papers) and Viral Infections and Vectors (9 papers). The work is most often cited by research in Modeling and Simulation (77 citations), Infectious Diseases (301 citations), Pediatrics, Perinatology and Child Health (310 citations), Nutrition and Dietetics (202 citations) and Health (95 citations). Daniel Kadobera has collaborated with scholars based in Uganda, United States and Sweden. Frequent co-authors include Peter Waiswa, Alex Riolexus Ario, Lilian Bulage, George Pariyo, Honorati Masanja, Stefan Peterson, Benon Kwesiga, Benn Sartorius, Anna Mia Ekström and Bao‐Ping Zhu. Their work appears in journals such as BMC Infectious Diseases, Malaria Journal, Global Health Action, Health Security and BMC 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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