Geoffrey Mukwada

59 total papers · 754 total citations
45 papers, 511 citations indexed

About

Geoffrey Mukwada is a scholar working on Global and Planetary Change, Sociology and Political Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Geoffrey Mukwada has authored 45 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Global and Planetary Change, 16 papers in Sociology and Political Science and 11 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Geoffrey Mukwada's work include Climate change impacts on agriculture (11 papers), Climate variability and models (10 papers) and Hydrology and Drought Analysis (7 papers). Geoffrey Mukwada is often cited by papers focused on Climate change impacts on agriculture (11 papers), Climate variability and models (10 papers) and Hydrology and Drought Analysis (7 papers). Geoffrey Mukwada collaborates with scholars based in South Africa, Zimbabwe and United States. Geoffrey Mukwada's co-authors include Desmond Manatsa, C. H. Matarira, C. J. C. Reason, Mokhele Edmond Moeletsi, Guy M. Robinson, Dipane Hlalele, Aliza le Roux, Patricio De los Ríos-Escalante, Netrananda Sahu and Subhash Anand and has published in prestigious journals such as Scientific Reports, Climatic Change and Sustainability.

In The Last Decade

Geoffrey Mukwada

42 papers receiving 497 citations

Author Peers

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

Author Last Decade Papers Cites
Geoffrey Mukwada 288 118 103 94 52 45 511
Weihua Fang 237 0.8× 106 0.9× 145 1.4× 56 0.6× 57 1.1× 51 559
Veruska Muccione 261 0.9× 128 1.1× 131 1.3× 82 0.9× 30 0.6× 37 545
Manfred Domroes 312 1.1× 64 0.5× 158 1.5× 60 0.6× 69 1.3× 24 597
Romaric C. Odoulami 385 1.3× 82 0.7× 189 1.8× 81 0.9× 38 0.7× 18 577
Anne Cristina de la Vega-Leinert 293 1.0× 148 1.3× 82 0.8× 84 0.9× 90 1.7× 27 595
Jason Vogel 199 0.7× 102 0.9× 41 0.4× 106 1.1× 51 1.0× 20 464
Asher Siebert 262 0.9× 78 0.7× 89 0.9× 54 0.6× 28 0.5× 19 562
Daniel Maselli 147 0.5× 116 1.0× 139 1.3× 109 1.2× 98 1.9× 36 616
Natalie Suckall 256 0.9× 272 2.3× 38 0.4× 146 1.6× 43 0.8× 19 591
Fahim Tonmoy 248 0.9× 165 1.4× 42 0.4× 123 1.3× 36 0.7× 22 485

Countries citing papers authored by Geoffrey Mukwada

Since Specialization
Citations

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

Fields of papers citing papers by Geoffrey Mukwada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoffrey Mukwada

This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey Mukwada. A scholar is included among the top collaborators of Geoffrey Mukwada 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 Geoffrey Mukwada. Geoffrey Mukwada 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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