Aggrey Rwetsiba

28 total papers · 817 total citations
18 papers, 438 citations indexed

About

Aggrey Rwetsiba is a scholar working on Ecology, Global and Planetary Change and Ecological Modeling. According to data from OpenAlex, Aggrey Rwetsiba has authored 18 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecology, 8 papers in Global and Planetary Change and 5 papers in Ecological Modeling. Recurrent topics in Aggrey Rwetsiba's work include Wildlife Ecology and Conservation (13 papers), Species Distribution and Climate Change (5 papers) and Conservation, Biodiversity, and Resource Management (4 papers). Aggrey Rwetsiba is often cited by papers focused on Wildlife Ecology and Conservation (13 papers), Species Distribution and Climate Change (5 papers) and Conservation, Biodiversity, and Resource Management (4 papers). Aggrey Rwetsiba collaborates with scholars based in United States, United Kingdom and Uganda. Aggrey Rwetsiba's co-authors include Andrew J. Plumptre, Fredrick O. Wanyama, Margaret Driciru, Rob Critchlow, Colin M. Beale, James Watson, Hugh P. Possingham, Deo Kujirakwinja, Charles Tumwesigye and Emma J. Stokes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Conservation Biology and Journal of Applied Ecology.

In The Last Decade

Aggrey Rwetsiba

16 papers receiving 425 citations

Author Peers

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

Author Last Decade Papers Cites
Aggrey Rwetsiba 292 167 129 74 72 18 438
Rob Critchlow 258 0.9× 130 0.8× 103 0.8× 114 1.5× 75 1.0× 14 403
Victoria Hemming 118 0.4× 152 0.9× 94 0.7× 87 1.2× 17 0.2× 19 454
Stephanie Brittain 255 0.9× 90 0.5× 40 0.3× 101 1.4× 85 1.2× 26 453
Deo Kujirakwinja 231 0.8× 119 0.7× 75 0.6× 89 1.2× 91 1.3× 19 374
Hsien‐Yung Lin 236 0.8× 138 0.8× 148 1.1× 103 1.4× 48 0.7× 26 419
Ugo Arbieu 176 0.6× 167 1.0× 39 0.3× 49 0.7× 114 1.6× 25 460
Martina M. I. Di Fonzo 202 0.7× 137 0.8× 150 1.2× 182 2.5× 53 0.7× 9 408
Sabrina Dressel 225 0.8× 113 0.7× 46 0.4× 44 0.6× 71 1.0× 15 392
Frith Jarrad 195 0.7× 135 0.8× 159 1.2× 206 2.8× 18 0.3× 17 462
Judy Che‐Castaldo 222 0.8× 98 0.6× 176 1.4× 155 2.1× 34 0.5× 28 472

Countries citing papers authored by Aggrey Rwetsiba

Since Specialization
Citations

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

Fields of papers citing papers by Aggrey Rwetsiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aggrey Rwetsiba

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