Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Extinction risk from climate change
20045.5k citationsChris D. Thomas, A. Cameron et al.Natureprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
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Countries citing papers authored by Barend Erasmus
Since
Specialization
Citations
This map shows the geographic impact of Barend Erasmus'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 Barend Erasmus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barend Erasmus more than expected).
This network shows the impact of papers produced by Barend Erasmus. 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 Barend Erasmus. The network helps show where Barend Erasmus may publish in the future.
Co-authorship network of co-authors of Barend Erasmus
This figure shows the co-authorship network connecting the top 25 collaborators of Barend Erasmus.
A scholar is included among the top collaborators of Barend Erasmus 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 Barend Erasmus. Barend Erasmus is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Willemen, Louise, Nichole N. Barger, Ben ten Brink, et al.. (2020). How to halt the global decline of lands. Nature Sustainability. 3(3). 164–166.44 indexed citations
Wessels, Konrad, John Armston, Renaud Mathieu, et al.. (2020). First Validation of GEDI Vegetation Structure Metrics in South African Savannas.. AGU Fall Meeting Abstracts. 2020.1 indexed citations
Coetzer, Kaera, et al.. (2010). Land-cover change in the Kruger to Canyons Biosphere Reserve (1993-2006) : a first step towards creating a conservation plan for the subregion : research article. South African Journal of Science. 106. 1–10.8 indexed citations
15.
Robertson, Mark P., Graeme S. Cumming, & Barend Erasmus. (2010). Getting the most out of atlas data. Diversity and Distributions. 16(3). 363–375.118 indexed citations
16.
Cameron, A., Chris D. Thomas, Rhys E. Green, et al.. (2004). Will climate change catch us off guard. 5(2). 28–29.1 indexed citations
17.
Rensburg, Berndt J. van, Barend Erasmus, Albert S. van Jaarsveld, Kevin J. Gaston, & Steven L. Chown. (2004). Conservation during times of change: correlations between birds, climate and people in South Africa. South African Journal of Science. 100. 266–272.24 indexed citations
18.
Thomas, Chris D., A. Cameron, Rhys E. Green, et al.. (2004). Extinction risk from climate change. Nature. 427(6970). 145–148.5527 indexed citations breakdown →
19.
Erasmus, Barend, Mrigesh Kshatriya, M. W. Mansell, Steven L. Chown, & A. S. van Jaarsveld. (2000). A modelling approach to antlion (Neuroptera: Myrmeleontidae) distribution patterns. African Entomology. 8(2). 157–168.16 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.