African Institute for Mathematical Sciences

3.0k citations
329 papers ·

Impact in

Papers in

African Institute for Mathematical Sciences

236 papers receiving 2.6k citations

Peers

African Institute for Mathematical Sciences
Comparison fields: 5 of 178
  • Modeling and Simulation 184
  • Virology 171
  • Global and Planetary Change 756
  • Atmospheric Science 434
  • Infectious Diseases 238
Replace Rwanda Development Board with:
Rwanda Development Board Rwanda
Ministry of Agriculture, Animal Industry and Fisheries Uganda
Pan African University Institute for Basic Sciences, Technology and Innovation Kenya
Kenya School of Government Kenya
African Centre for Technology Studies Kenya
University of Goma Democratic Republic of the Congo
Mountains of the Moon University Uganda
African Field Epidemiology Network Uganda
Université Evangélique en Afrique Democratic Republic of the Congo
University of Arusha Tanzania
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Citations per field
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Citations per year

Countries citing scholars working at African Institute for Mathematical Sciences

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at African Institute for Mathematical Sciences. 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 papers produced at African Institute for Mathematical Sciences with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites African Institute for Mathematical Sciences more than expected).

Fields of papers published by authors at African Institute for Mathematical Sciences

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with African Institute for Mathematical Sciences at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with African Institute for Mathematical Sciences at the time of their publication.

About African Institute for Mathematical Sciences

In recent decades, authors affiliated with African Institute for Mathematical Sciences have published 329 papers, which have received a total of 3.0k indexed citations . Scholars at this organization have produced 18 papers in Modeling and Simulation, 10 papers in Energy Engineering and Power Technology, 55 papers in Global and Planetary Change, 20 papers in Geometry and Topology and 34 papers in Atmospheric Science on the topics of Climate variability and models (33 papers), Meteorological Phenomena and Simulations (23 papers), Hydrology and Drought Analysis (18 papers), COVID-19 epidemiological studies (17 papers), Fixed Point Theorems Analysis (15 papers), Mathematical and Theoretical Epidemiology and Ecology Models (14 papers), Energy and Environment Impacts (14 papers) and Climate change impacts on agriculture (11 papers). Their work is cited by papers focused on Modeling and Simulation (184 citations), Virology (171 citations), Global and Planetary Change (756 citations), Atmospheric Science (434 citations) and Infectious Diseases (238 citations). Authors at African Institute for Mathematical Sciences collaborate with scholars in Rwanda, South Africa and United States and have published in prestigious journals including Atmosphere, Scientific Reports, Education and Information Technologies, BMC Public Health and Heliyon. Some of African Institute for Mathematical Sciences's most productive authors include Mouhamadou Bamba Sylla, Nana Ama Browne Klutse, Francis Nkrumah, Temesgen T. Zewotir, Ismaïla Diallo, Patrick E. Mc Sharry, Isambi Sailon Mbalawata, Chris Lennard, Alessandro Dosio and Wilfried Yves Hamilton Adoni.

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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