Oumar Ka

705 citations
11 papers · 507 · h-index 7

Impact in

Papers in

Oumar Ka

11 papers receiving 496 citations

Peers

Oumar Ka
Comparison fields: 5 of 65
  • Atmospheric Science 328
  • Environmental Engineering 124
  • Health, Toxicology and Mutagenesis 116
  • Global and Planetary Change 158
  • Renewable Energy, Sustainability and the Environment 88
Replace Marième Ndour with:
Marième Ndour France
Shih-Chieh Hsu Taiwan
Yazhou Zhang China
Rachel M. Kirpes United States
Wenjun Gu China
Zhenhai Wu China
Priyanko Das India
Kandice Harper United States
Daniel P. Veghte United States
Oumar Ka relative to Marième Ndour France Marième Ndour's profile →
Citations per field
00.5×1.5×
Marième Ndour · 1×
Citations per year

Countries citing papers authored by Oumar Ka

Since Specialization
Citations

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

Fields of papers citing papers by Oumar Ka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2008216
2 200988
3 200970
4 200956
5 200746
6 202211
7 201610
8 20175
9 20232
10
Approche quantitative pour la prédiction et la cartographie du drainage des sols par l'intégration de données ASTER et RADARSAT-1.
20062
11 20041

About Oumar Ka

Oumar Ka is a scholar working on Atmospheric Science, Environmental Engineering, Public Health, Environmental and Occupational Health, Global and Planetary Change and Genetics, having authored 11 papers that have together received 507 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (4 papers), Atmospheric Ozone and Climate (4 papers), Atmospheric aerosols and clouds (2 papers), Malaria Research and Control (2 papers), HIV Research and Treatment (1 paper), Hemoglobinopathies and Related Disorders (1 paper), Air Quality Monitoring and Forecasting (1 paper) and Soil erosion and sediment transport (1 paper). The work is most often cited by research in Atmospheric Science (328 citations), Environmental Engineering (124 citations), Health, Toxicology and Mutagenesis (116 citations), Global and Planetary Change (158 citations) and Renewable Energy, Sustainability and the Environment (88 citations). Oumar Ka has collaborated with scholars based in Senegal, France and Romania. Frequent co-authors include Marième Ndour, C. George, Barbara D’Anna, Yves Balkanski, Jörg Kleffmann, Konrad Stemmler, Markus Ammann, Mélanie Nicolas, Michel C. Nolin and Jiangui Liu. Their work appears in journals such as Geophysical Research Letters, Malaria Journal, Environmental Science & Technology, Geoderma and Physical Chemistry Chemical Physics.

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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