Hambulo Ngoma

71 total papers · 936 total citations
45 papers, 562 citations indexed

About

Hambulo Ngoma is a scholar working on General Agricultural and Biological Sciences, Soil Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Hambulo Ngoma has authored 45 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in General Agricultural and Biological Sciences, 20 papers in Soil Science and 16 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Hambulo Ngoma's work include Agricultural Innovations and Practices (30 papers), Agricultural risk and resilience (17 papers) and Climate change impacts on agriculture (14 papers). Hambulo Ngoma is often cited by papers focused on Agricultural Innovations and Practices (30 papers), Agricultural risk and resilience (17 papers) and Climate change impacts on agriculture (14 papers). Hambulo Ngoma collaborates with scholars based in Zambia, United States and Kenya. Hambulo Ngoma's co-authors include Brian P. Mulenga, Byman Hamududu, Nicole M. Mason, Arild Angelsen, Johanne Pelletier, Christian Thierfelder, Chewe Nkonde, Nicholas J. Sitko, Faaiqa Hartley and Christopher B. Barrett and has published in prestigious journals such as SHILAP Revista de lepidopterología, World Development and Global Environmental Change.

In The Last Decade

Hambulo Ngoma

39 papers receiving 530 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hambulo Ngoma 268 195 161 102 83 45 562
Zhe Guo 192 0.7× 189 1.0× 119 0.7× 81 0.8× 79 1.0× 43 660
Elias Kuntashula 353 1.3× 164 0.8× 160 1.0× 88 0.9× 108 1.3× 37 698
Glenn Denning 273 1.0× 137 0.7× 115 0.7× 68 0.7× 68 0.8× 16 601
Bekele Hundie Kotu 307 1.1× 143 0.7× 95 0.6× 54 0.5× 106 1.3× 29 540
Edidah Ampaire 263 1.0× 140 0.7× 266 1.7× 100 1.0× 90 1.1× 24 680
Franklin Nantui Mabe 356 1.3× 184 0.9× 165 1.0× 57 0.6× 125 1.5× 44 655
Aziz Karimov 262 1.0× 118 0.6× 77 0.5× 60 0.6× 125 1.5× 34 632
Raushan Bokusheva 189 0.7× 272 1.4× 160 1.0× 160 1.6× 189 2.3× 32 669
Sydney Gourlay 305 1.1× 292 1.5× 110 0.7× 112 1.1× 135 1.6× 27 654
Martina Bozzola 240 0.9× 287 1.5× 189 1.2× 92 0.9× 173 2.1× 21 626

Countries citing papers authored by Hambulo Ngoma

Since Specialization
Citations

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

Fields of papers citing papers by Hambulo Ngoma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hambulo Ngoma

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

All Works

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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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