Khalidou M. Bâ

483 total citations
43 papers, 360 citations indexed

About

Khalidou M. Bâ is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Khalidou M. Bâ has authored 43 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Water Science and Technology, 15 papers in Global and Planetary Change and 7 papers in Atmospheric Science. Recurrent topics in Khalidou M. Bâ's work include Hydrology and Watershed Management Studies (12 papers), Hydrology and Drought Analysis (9 papers) and Precipitation Measurement and Analysis (6 papers). Khalidou M. Bâ is often cited by papers focused on Hydrology and Watershed Management Studies (12 papers), Hydrology and Drought Analysis (9 papers) and Precipitation Measurement and Analysis (6 papers). Khalidou M. Bâ collaborates with scholars based in Mexico, Canada and Netherlands. Khalidou M. Bâ's co-authors include Carlos Díaz-Delgado, Carlos Alberto Mastachi-Loza, Enrique González-Sosa, Alin Andrei Carsteanu, Ernesto Trujillo, Bernard Bobée, Taha B. M. J. Ouarda, Karem Chokmani, C. Fall and Miguel Ángel Gómez Albores and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Bioresource Technology.

In The Last Decade

Khalidou M. Bâ

40 papers receiving 345 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Khalidou M. Bâ Mexico 9 183 167 79 74 65 43 360
Gaojia Meng China 10 198 1.1× 126 0.8× 133 1.7× 62 0.8× 87 1.3× 16 461
N. D. K. Dayawansa Sri Lanka 9 147 0.8× 162 1.0× 126 1.6× 51 0.7× 38 0.6× 49 379
Achim Schulte Germany 9 160 0.9× 166 1.0× 126 1.6× 76 1.0× 50 0.8× 34 374
Kamran Ansari Pakistan 12 193 1.1× 143 0.9× 50 0.6× 76 1.0× 61 0.9× 35 407
Asaminew Abiyu China 10 243 1.3× 185 1.1× 78 1.0× 58 0.8× 74 1.1× 12 437
Aidan Burton United Kingdom 10 179 1.0× 173 1.0× 61 0.8× 37 0.5× 69 1.1× 13 353
Tiesheng Guan China 8 177 1.0× 178 1.1× 70 0.9× 107 1.4× 66 1.0× 22 398
Yongyu Song China 11 243 1.3× 235 1.4× 115 1.5× 65 0.9× 97 1.5× 31 431
Donald Tendayi Rwasoka Zimbabwe 9 312 1.7× 267 1.6× 140 1.8× 58 0.8× 58 0.9× 25 486
Lizhu Hou China 10 149 0.8× 101 0.6× 140 1.8× 69 0.9× 44 0.7× 30 355

Countries citing papers authored by Khalidou M. Bâ

Since Specialization
Citations

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

Fields of papers citing papers by Khalidou M. Bâ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khalidou M. Bâ. 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 Khalidou M. Bâ. The network helps show where Khalidou M. Bâ may publish in the future.

Co-authorship network of co-authors of Khalidou M. Bâ

This figure shows the co-authorship network connecting the top 25 collaborators of Khalidou M. Bâ. A scholar is included among the top collaborators of Khalidou M. Bâ 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 Khalidou M. Bâ. Khalidou M. Bâ is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Esparza‐Soto, Mario, et al.. (2025). Model and methods for determining mixed liquor suspended solids of aerobic granular sludge reactors. Bioresource Technology. 428. 132454–132454. 1 indexed citations
2.
Díaz-Delgado, Carlos, et al.. (2023). Design of a Bioretention System with Water Reuse for Urban Agriculture through a Daily Water Balance. Water. 15(19). 3477–3477. 3 indexed citations
3.
Fall, C., et al.. (2023). Mechanisms of persistence and impact of ordinary heterotrophic organisms in aerobic granular sludge. Bioresource Technology. 384. 129346–129346. 6 indexed citations
4.
5.
Colín-Cruz, Arturo, et al.. (2022). Consistency between the metabolic performance of two aerobic granular sludge systems and the functional groups of bacteria detected by amplicon sequencing. Environmental Science and Pollution Research. 29(55). 83512–83525. 2 indexed citations
6.
Leblois, Étienne, et al.. (2020). A baseline assessment of hydrologic alteration degree for the Mexican catchments at gauged rivers (2016). The Science of The Total Environment. 729. 139041–139041. 12 indexed citations
7.
Albores, Miguel Ángel Gómez, et al.. (2018). Impacts of Climate Change on the Irrigation Districts of the Rio Bravo Basin. Water. 10(3). 258–258. 8 indexed citations
8.
Albores, Miguel Ángel Gómez, et al.. (2018). Identification of Variations in the Climatic Conditions of the Lerma-Chapala-Santiago Watershed by Comparative Analysis of Time Series. Advances in Meteorology. 2018. 1–16. 5 indexed citations
9.
Bâ, Khalidou M., et al.. (2018). Hydrological Evaluation of PERSIANN-CDR Rainfall over Upper Senegal River and Bani River Basins. Remote Sensing. 10(12). 1884–1884. 13 indexed citations
10.
Albores, Miguel Ángel Gómez, et al.. (2018). Estimation of water yield in the hydrographic basins of southern Ecuador. Biogeosciences (European Geosciences Union). 14 indexed citations
11.
Bâ, Khalidou M., et al.. (2015). Modelación hidrológica con base en estimaciones de precipitación con sensores hidrometeorológicos. IMTA-TC. 6(4). 45–60. 1 indexed citations
12.
Bâ, Khalidou M.. (2013). Modelado hidrológico de grandes cuencas: caso de estudio del Río Senegal, África Occidental. SHILAP Revista de lepidopterología. 2 indexed citations
13.
Bâ, Khalidou M., et al.. (2013). Efecto de la discretización espacial sobre las simulaciones de caudal con el modelo distribuido CEQUEAU. SHILAP Revista de lepidopterología. 4(5). 33–53. 1 indexed citations
14.
Fall, C., et al.. (2012). COD fractionation and biological treatability of mixed industrial wastewaters. Journal of Environmental Management. 113. 71–77. 17 indexed citations
15.
Fall, C., Christine M. Hooijmans, Mario Esparza‐Soto, M. T. Olguín, & Khalidou M. Bâ. (2012). Initial-rate based method for estimating the maximum heterotrophic growth rate parameter (μHmax). Bioresource Technology. 116. 126–132. 5 indexed citations
16.
Bâ, Khalidou M., et al.. (2011). Empleo de información NEXRAD en el modelado hidrológico para cuencas con pluviometría deficiente. IMTA-TC. 2(3). 35–48. 3 indexed citations
17.
Fall, C., et al.. (2005). Respirometry-based evaluation of the fate and possible effects of antifreeze on activated sludge. Journal of Environmental Management. 80(1). 83–89. 5 indexed citations
18.
Díaz-Delgado, Carlos, et al.. (1999). Estimación de las características fisiográficas de una cuenca con la ayuda de SIG y MEDT: caso del curso alto del río Lerma, Estado de México. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Díaz-Delgado, Carlos, et al.. (1999). Las funciones Beta-Jacobi y Gamma-Laguerre como métodos de análisis de valores hidrológicos extremos. Caso de precipitaciones máximas anuales. IMTA-TC. 14(2). 39–48. 1 indexed citations
20.
Bâ, Khalidou M., et al.. (1999). Modelización hidrológica de la cuenca alta del río Ega (País Vasco y Navarra). Ingeniería del agua. 6(3). 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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