Ousmane Maïga

466 citations
14 papers · 300 · h-index 9

Impact in

    • Vector-borne infectious diseases
    • Viral Infections and Vectors
    • Viral Infections and Outbreaks Research
    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology

Papers in

Ousmane Maïga

13 papers receiving 297 citations

Peers

Ousmane Maïga
Comparison fields: 5 of 37
  • Parasitology 126
  • Infectious Diseases 268
  • Ecology, Evolution, Behavior and Systematics 78
  • Modeling and Simulation 15
  • Public Health, Environmental and Occupational Health 91
Replace Serena A. Carroll with:
Serena A. Carroll United States
Akina Mori‐Kajihara Japan
Juan Quetglas Spain
Anise N. Happi Nigeria
Adel W. Salib Egypt
Butenko Am Russia
Emmanuel Obishakin Nigeria
Shuāng Táng China
Clovis Vásquez United States
Anette Teichmann Germany
Ousmane Maïga relative to Serena A. Carroll United States Serena A. Carroll's profile →
Citations per field
00.5×3.4×
Serena A. Carroll · 1×
Citations per year

Countries citing papers authored by Ousmane Maïga

Since Specialization
Citations

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

Fields of papers citing papers by Ousmane Maïga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201459
2 201256
3 201343
4 201732
5 201728
6 201625
7 201621
8 201713
9 202112
10 20226
11 20212
12 20242
13 20241
14 20210

About Ousmane Maïga

Ousmane Maïga is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Parasitology, Ecology, Evolution, Behavior and Systematics and Emergency Medical Services, having authored 14 papers that have together received 300 indexed citations. Recurring topics across this work include Viral Infections and Vectors (10 papers), Viral Infections and Outbreaks Research (7 papers), Zoonotic diseases and public health (3 papers), Vector-borne infectious diseases (3 papers), Disaster Response and Management (2 papers), Vector-Borne Animal Diseases (2 papers), Mosquito-borne diseases and control (2 papers) and Yersinia bacterium, plague, ectoparasites research (1 paper). The work is most often cited by research in Parasitology (126 citations), Infectious Diseases (268 citations), Ecology, Evolution, Behavior and Systematics (78 citations), Modeling and Simulation (15 citations) and Public Health, Environmental and Occupational Health (91 citations). Ousmane Maïga has collaborated with scholars based in Mali, United States and Canada. Frequent co-authors include Tom G. Schwan, Nafomon Sogoba, David Safronetz, Robert J. Fischer, Job E. López, Jennifer M. Anderson, Sékou F. Traorè, Heinz Feldmann, Kyle Rosenke and Sandra J. Raffel. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, PLoS neglected tropical diseases, Emerging infectious diseases, One Health and Viruses.

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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