Brian P. Mulenga

569 total citations
21 papers, 326 citations indexed

About

Brian P. Mulenga is a scholar working on General Agricultural and Biological Sciences, Ecology, Evolution, Behavior and Systematics and Soil Science. According to data from OpenAlex, Brian P. Mulenga has authored 21 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in General Agricultural and Biological Sciences, 7 papers in Ecology, Evolution, Behavior and Systematics and 6 papers in Soil Science. Recurrent topics in Brian P. Mulenga's work include Agricultural Innovations and Practices (8 papers), Climate change impacts on agriculture (7 papers) and Agricultural risk and resilience (5 papers). Brian P. Mulenga is often cited by papers focused on Agricultural Innovations and Practices (8 papers), Climate change impacts on agriculture (7 papers) and Agricultural risk and resilience (5 papers). Brian P. Mulenga collaborates with scholars based in United States, Zambia and Malawi. Brian P. Mulenga's co-authors include Hambulo Ngoma, Nicholas J. Sitko, Ayala Wineman, Robert B. Richardson, Chewe Nkonde, Lydia M. Chabala, Elias Kuntashula, Stephen Whitfield, Gelson Tembo and Johanne Pelletier and has published in prestigious journals such as Land Use Policy, Environmental Management and Agricultural Systems.

In The Last Decade

Brian P. Mulenga

20 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian P. Mulenga United States 9 129 103 87 79 44 21 326
Sabrina Chesterman Kenya 11 100 0.8× 104 1.0× 70 0.8× 71 0.9× 21 0.5× 21 379
Zemen Ayalew Ethiopia 13 188 1.5× 96 0.9× 131 1.5× 87 1.1× 27 0.6× 22 435
Quinn Bernier United States 8 108 0.8× 132 1.3× 90 1.0× 38 0.5× 42 1.0× 9 310
Sisay Belay Bedeke Ethiopia 7 116 0.9× 173 1.7× 121 1.4× 52 0.7× 24 0.5× 17 320
Godfrey Kundhlande South Africa 8 112 0.9× 113 1.1× 114 1.3× 83 1.1× 24 0.5× 16 371
Joash Mango Kenya 8 103 0.8× 120 1.2× 140 1.6× 43 0.5× 25 0.6× 15 322
Priscilla Wainaina Kenya 12 214 1.7× 95 0.9× 122 1.4× 98 1.2× 23 0.5× 18 423
Carlos Barahona United Kingdom 11 161 1.2× 167 1.6× 104 1.2× 65 0.8× 43 1.0× 17 473
Vibeke Bjornlund Australia 6 99 0.8× 61 0.6× 85 1.0× 30 0.4× 25 0.6× 8 340
Marja-Liisa Tapio-Biström Italy 6 114 0.9× 146 1.4× 78 0.9× 50 0.6× 41 0.9× 10 321

Countries citing papers authored by Brian P. Mulenga

Since Specialization
Citations

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

Fields of papers citing papers by Brian P. Mulenga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian P. Mulenga. 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 Brian P. Mulenga. The network helps show where Brian P. Mulenga may publish in the future.

Co-authorship network of co-authors of Brian P. Mulenga

This figure shows the co-authorship network connecting the top 25 collaborators of Brian P. Mulenga. A scholar is included among the top collaborators of Brian P. Mulenga 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 Brian P. Mulenga. Brian P. Mulenga 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.
Nagarajan, Latha, Upendra Singh, Yam Kanta Gaihre, et al.. (2025). Global-scale meta-analysis reveals enhanced cereal yields through sulfur and zinc fertilization. Nutrient Cycling in Agroecosystems. 131(3). 593–612. 1 indexed citations
2.
Ngoma, Hambulo, Brian P. Mulenga, P.S. Setimela, et al.. (2025). The dawn of a legume revolution in Southern Africa: trends, drivers, and implications. Food Security. 17(6). 1493–1515.
3.
Konar, Megan, et al.. (2024). Impact of current and historical climate shocks on crop diversification in Zambia: Insights from household- and district-level observations. Climate Risk Management. 47. 100683–100683. 1 indexed citations
5.
Mulenga, Brian P., Hambulo Ngoma, & Chewe Nkonde. (2021). Produce to eat or sell: Panel data structural equation modeling of market participation and food dietary diversity in Zambia. Food Policy. 102. 102035–102035. 44 indexed citations
6.
Ngoma, Hambulo, et al.. (2021). Climate-smart agriculture, cropland expansion and deforestation in Zambia: Linkages, processes and drivers. Land Use Policy. 107. 105482–105482. 27 indexed citations
7.
Mulenga, Brian P., et al.. (2020). The Role of Policy and Institutions in Greening the Charcoal Value Chain in Zambia. AgEcon Search (University of Minnesota, USA). 3 indexed citations
8.
Mulenga, Brian P., et al.. (2020). A Market Basket Analysis of Beef Calf Management Practice Adoption. Journal of agricultural and resource economics. 46(2). 214–227. 2 indexed citations
9.
Ngoma, Hambulo, et al.. (2019). Poverty and Weather Shocks: A Panel Data Analysis of Structural and Stochastic Poverty in Zambia. AgEcon Search (University of Minnesota, USA). 6 indexed citations
10.
Mulenga, Brian P., B. Wade Brorsen, Francis M. Epplin, F. Workneh, & C. M. Rush. (2019). Economic Thresholds of Wheat Streak Mosaic in the Texas High Plains. Agrosystems Geosciences & Environment. 2(1). 1–8. 1 indexed citations
11.
Ngoma, Hambulo, et al.. (2019). Climate-Smart Agriculture, Cropland Expansion, and Deforestation in Zambia: Linkages, Processes, and Drivers. AgEcon Search (University of Minnesota, USA). 1 indexed citations
12.
Mulenga, Brian P., et al.. (2018). Electricity access and charcoal consumption among urban households in Zambia. Development Southern Africa. 36(5). 585–599. 18 indexed citations
13.
Mulenga, Brian P., et al.. (2017). Rural households’ participation in charcoal production in Zambia: Does agricultural productivity play a role?. Journal of Forest Economics. 26. 56–62. 19 indexed citations
14.
Mulenga, Brian P., Ayala Wineman, & Nicholas J. Sitko. (2016). Climate Trends and Farmers’ Perceptions of Climate Change in Zambia. Environmental Management. 59(2). 291–306. 84 indexed citations
15.
Ngoma, Hambulo, et al.. (2016). Minimum tillage uptake and uptake intensity by smallholder farmers in Zambia. African Journal of Agricultural and Resource Economics. 11(4). 249–262. 16 indexed citations
16.
Whitfield, Stephen, et al.. (2014). Conceptualising farming systems for agricultural development research: Cases from Eastern and Southern Africa. Agricultural Systems. 133. 54–62. 34 indexed citations
17.
Kuntashula, Elias, Lydia M. Chabala, & Brian P. Mulenga. (2014). Impact of Minimum Tillage and Crop Rotation as Climate Change Adaptation Strategies on Farmer Welfare in Smallholder Farming Systems of Zambia. Journal of Sustainable Development. 7(4). 30 indexed citations
18.
Tembo, Gelson, et al.. (2014). Welfare Effects of Social Cash Transfers in Chipata and Kazungula Districts of Zambia. Business and Economic Research. 4(1). 291–291. 1 indexed citations
19.
Mulenga, Brian P., Robert B. Richardson, Gelson Tembo, & Lawrence Mapemba. (2013). Rural household participation in markets for non-timber forest products in Zambia. Environment and Development Economics. 19(4). 487–504. 29 indexed citations
20.
Mulenga, Brian P., et al.. (2009). Design of a blood flow system. 481–481. 1 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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