Aimable Uwizeye

1.9k total citations · 1 hit paper
16 papers, 862 citations indexed

About

Aimable Uwizeye is a scholar working on Ecology, Process Chemistry and Technology and Environmental Engineering. According to data from OpenAlex, Aimable Uwizeye has authored 16 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, 4 papers in Process Chemistry and Technology and 4 papers in Environmental Engineering. Recurrent topics in Aimable Uwizeye's work include Agriculture Sustainability and Environmental Impact (7 papers), Environmental Impact and Sustainability (4 papers) and Odor and Emission Control Technologies (4 papers). Aimable Uwizeye is often cited by papers focused on Agriculture Sustainability and Environmental Impact (7 papers), Environmental Impact and Sustainability (4 papers) and Odor and Emission Control Technologies (4 papers). Aimable Uwizeye collaborates with scholars based in Italy, Netherlands and United States. Aimable Uwizeye's co-authors include I.J.M. de Boer, Rogier P.O. Schulte, Adrian Leip, Pierre Gerber, Timothy P. Robinson, O. Oenema, Susanna Kugelberg, David Kanter, Fabio Bartolini and Giuseppe Tempio and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Aimable Uwizeye

16 papers receiving 842 citations

Hit Papers

Invited review: Current enteric methane mitigation options 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aimable Uwizeye Italy 10 360 221 130 107 107 16 862
Robert J. Meinen United States 10 445 1.2× 358 1.6× 137 1.1× 151 1.4× 83 0.8× 18 968
Alan Rotz United States 9 529 1.5× 366 1.7× 150 1.2× 134 1.3× 126 1.2× 13 1.1k
Al Rotz United States 4 333 0.9× 326 1.5× 175 1.3× 132 1.2× 77 0.7× 5 867
Trevor Coates Canada 15 200 0.6× 381 1.7× 101 0.8× 121 1.1× 87 0.8× 28 943
Stefan Hörtenhuber Austria 20 444 1.2× 111 0.5× 106 0.8× 192 1.8× 214 2.0× 52 918
Deanne Meyer United States 17 175 0.5× 302 1.4× 228 1.8× 76 0.7× 57 0.5× 40 896
H. Menzi Switzerland 16 330 0.9× 229 1.0× 265 2.0× 79 0.7× 90 0.8× 32 1.0k
G.J. Monteny Netherlands 16 386 1.1× 254 1.1× 231 1.8× 137 1.3× 134 1.3× 44 1.1k
L.B.J. Šebek Netherlands 14 275 0.8× 374 1.7× 215 1.7× 178 1.7× 78 0.7× 38 820
Rolando Barahona Rosales Colombia 16 356 1.0× 503 2.3× 85 0.7× 212 2.0× 104 1.0× 90 1.1k

Countries citing papers authored by Aimable Uwizeye

Since Specialization
Citations

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

Fields of papers citing papers by Aimable Uwizeye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aimable Uwizeye

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

All Works

16 of 16 papers shown
1.
Stevenson, David S., et al.. (2025). A dynamical process-based model for quantifying global agricultural ammonia emissions – AMmonia–CLIMate v1.0 (AMCLIM v1.0) – Part 2: Livestock farming. Geoscientific model development. 18(16). 5051–5099. 1 indexed citations
2.
Bai, Zhaohai, Xiaofei Wu, Luis Lassaletta, et al.. (2023). Investing in mini-livestock production for food security and carbon neutrality in China. Proceedings of the National Academy of Sciences. 120(43). e2304826120–e2304826120. 6 indexed citations
3.
Dondini, Marta, Manuel Martín, Camillo De Camillis, et al.. (2023). Global assessment of soil carbon in grasslands. FAO eBooks. 17 indexed citations
4.
Beauchemin, K. A., Emilio M. Ungerfeld, Adibe Luiz Abdalla, et al.. (2022). Invited review: Current enteric methane mitigation options. Journal of Dairy Science. 105(12). 9297–9326. 166 indexed citations breakdown →
5.
Stevenson, David S., et al.. (2021). A climate-dependent global model of ammonia emissions from chicken farming. Biogeosciences. 18(1). 135–158. 20 indexed citations
6.
Metson, Geneviève S., Abhishek Chaudhary, Xin Zhang, et al.. (2021). Nitrogen and the food system. One Earth. 4(1). 3–7. 7 indexed citations
7.
Uwizeye, Aimable, I.J.M. de Boer, Carolyn Opio, et al.. (2020). Nitrogen emissions along global livestock supply chains. Nature Food. 1(7). 437–446. 214 indexed citations
8.
Lassaletta, Luis, Fernándo Estellés, Arthur Beusen, et al.. (2019). Future global pig production systems according to the Shared Socioeconomic Pathways. The Science of The Total Environment. 665. 739–751. 63 indexed citations
9.
Kanter, David, Fabio Bartolini, Susanna Kugelberg, et al.. (2019). Nitrogen pollution policy beyond the farm. Nature Food. 1(1). 27–32. 144 indexed citations
10.
Uwizeye, Aimable, Pierre Gerber, Carolyn Opio, et al.. (2019). Nitrogen flows in global pork supply chains and potential improvement from feeding swill to pigs. Resources Conservation and Recycling. 146. 168–179. 32 indexed citations
11.
Uwizeye, Aimable, Pierre Gerber, C. Opio, et al.. (2018). The role of globalizing livestock supply chains in the disruption of global nitrogen cycles. AGU Fall Meeting Abstracts. 2018. 2 indexed citations
12.
Uwizeye, Aimable, Pierre Gerber, E.A. Groen, et al.. (2017). Selective improvement of global datasets for the computation of locally relevant environmental indicators: A method based on global sensitivity analysis. Environmental Modelling & Software. 96. 58–67. 8 indexed citations
13.
Uwizeye, Aimable, Pierre Gerber, Rogier P.O. Schulte, & I.J.M. de Boer. (2016). A comprehensive framework to assess the sustainability of nutrient use in global livestock supply chains. Journal of Cleaner Production. 129. 647–658. 41 indexed citations
14.
Gerber, P., Aimable Uwizeye, Rogier P.O. Schulte, C. Opio, & I.J.M. de Boer. (2014). Nutrient use efficiency: a valuable approach to benchmark the sustainability of nutrient use in global livestock production?. Current Opinion in Environmental Sustainability. 9-10. 122–130. 73 indexed citations
15.
Vyas, D., Aimable Uwizeye, Wen Yang, & K. A. Beauchemin. (2014). Importance of yeast viability for reducing the effects of ruminal acidosis in beef heifers during and following an imposed acidosis challenge. Animal Feed Science and Technology. 197. 103–113. 5 indexed citations
16.
Vyas, D., Aimable Uwizeye, Riazuddin Mohammed, et al.. (2014). The effects of active dried and killed dried yeast on subacute ruminal acidosis, ruminal fermentation, and nutrient digestibility in beef heifers1. Journal of Animal Science. 92(2). 724–732. 63 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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