Mbaye Diop

881 total citations
15 papers, 274 citations indexed

About

Mbaye Diop is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science and Atmospheric Science. According to data from OpenAlex, Mbaye Diop has authored 15 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, Evolution, Behavior and Systematics, 8 papers in Plant Science and 5 papers in Atmospheric Science. Recurrent topics in Mbaye Diop's work include Climate change impacts on agriculture (7 papers), Climate variability and models (4 papers) and Rice Cultivation and Yield Improvement (3 papers). Mbaye Diop is often cited by papers focused on Climate change impacts on agriculture (7 papers), Climate variability and models (4 papers) and Rice Cultivation and Yield Improvement (3 papers). Mbaye Diop collaborates with scholars based in Senegal, France and Ghana. Mbaye Diop's co-authors include Pierre Camberlin, Babacar Faye, Thomas Gaiser, Jesse B. Naab, Madiama Cissé, Heidi Webber, Joseph A. Ampofo, Jalal Shiri, Gorka Landeras and Mamadou Mbaye and has published in prestigious journals such as Field Crops Research, Climate Research and Theoretical and Applied Climatology.

In The Last Decade

Mbaye Diop

15 papers receiving 257 citations

Peers

Mbaye Diop
Teresa Bras Portugal
Neil Best United States
Matthew Brown United Kingdom
Huiyi Yang United Kingdom
Dong Wu China
Lu Wu China
Mbaye Diop
Citations per year, relative to Mbaye Diop Mbaye Diop (= 1×) peers Pierre Cantelaube

Countries citing papers authored by Mbaye Diop

Since Specialization
Citations

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

Fields of papers citing papers by Mbaye Diop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mbaye Diop

This figure shows the co-authorship network connecting the top 25 collaborators of Mbaye Diop. A scholar is included among the top collaborators of Mbaye Diop based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mbaye Diop. Mbaye Diop is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Faye, Adama, et al.. (2024). Climate-Related Risks and Agricultural Yield Assessment in the Senegalese Groundnut Basin. Atmosphere. 15(10). 1246–1246. 1 indexed citations
2.
Diakhaté, Moussa, et al.. (2022). Predictability of Intra-Seasonal Descriptors of Rainy Season over Senegal Using Global SST Patterns. Atmosphere. 13(9). 1437–1437. 4 indexed citations
3.
Han, Eunjin, et al.. (2022). Evaluating Agronomic Onset Definitions in Senegal through Crop Simulation Modeling. Atmosphere. 13(12). 2122–2122. 1 indexed citations
4.
Faye, Adama, Mbaye Diop, Bassirou Sine, et al.. (2022). Millet and sorghum yield simulations under climate change scenarios in Senegal. Regional Environmental Change. 22(3). 6 indexed citations
5.
6.
Diakhaté, Moussa, et al.. (2020). Sensivity of Crop Yields to Temperature and Rainfall Daily Metrics in Senegal. Journal of Rural and Development. 8(1). 1–11. 4 indexed citations
7.
Faye, Babacar, Heidi Webber, Mbaye Diop, et al.. (2018). Potential impact of climate change on peanut yield in Senegal, West Africa. Field Crops Research. 219. 148–159. 39 indexed citations
8.
Landeras, Gorka, et al.. (2017). New alternatives for reference evapotranspiration estimation in West Africa using limited weather data and ancillary data supply strategies.. Theoretical and Applied Climatology. 132(3-4). 701–716. 48 indexed citations
9.
Faye, Babacar, et al.. (2016). Effects of Fertilization Rate and Water Availability on Peanut Growth and Yield in Senegal (West Africa). Journal of Sustainable Development. 9(6). 111–111. 9 indexed citations
10.
Diop, Mbaye, et al.. (2016). Characterization of ecosystem services provided by Detarium microcarpum around the protected Forest of Patako (Senegal). 3 indexed citations
11.
Traoré, Seydou, Agali Alhassane, Bertrand Muller, et al.. (2010). Characterizing and modeling the diversity of cropping situations under climatic constraints in West Africa. Atmospheric Science Letters. 12(1). 89–95. 47 indexed citations
12.
Camberlin, Pierre & Mbaye Diop. (2003). Application of daily rainfall principal component analysis to the assessment of the rainy season characteristics in Senegal. Climate Research. 23. 159–169. 65 indexed citations
13.
Camberlin, Pierre & Mbaye Diop. (1999). Inter-Relationships Between Groundnut Yield in Senegal, Interannual Rainfall Variability and Sea-Surface Temperatures. Theoretical and Applied Climatology. 63(3-4). 163–181. 24 indexed citations
14.
Diop, Mbaye. (1996). A propos de la durée de la saison des pluies au Sénégal. Science et changements planétaires / Sécheresse. 7(1). 7–15. 15 indexed citations
15.
Séné, M., et al.. (1991). Effects of poor pasture conditions and type of feeding on some biochemical values of gobra zebu in Senegal. British Veterinary Journal. 147(6). 538–544. 5 indexed citations

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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