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.
Artificial intelligence, systemic risks, and sustainability
2021221 citationsVictor Galaz, Miguel Ángel Centeno et al.Technology in Societyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of B. R. King'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 B. R. King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. R. King more than expected).
This network shows the impact of papers produced by B. R. King. 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 B. R. King. The network helps show where B. R. King may publish in the future.
Co-authorship network of co-authors of B. R. King
This figure shows the co-authorship network connecting the top 25 collaborators of B. R. King.
A scholar is included among the top collaborators of B. R. King 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 B. R. King. B. R. King is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Galaz, Victor, Miguel Ángel Centeno, Amar Causevic, et al.. (2021). Artificial intelligence, systemic risks, and sustainability. Technology in Society. 67. 101741–101741.221 indexed citations breakdown →
4.
McCook, Laurence J., Britta Schaffelke, Simon C. Apte, et al.. (2015). Synthesis of current knowledge of the biophysical impacts of dredging and disposal on the Great Barrier Reef: report of an independent panel of experts. ResearchOnline at James Cook University (James Cook University).23 indexed citations
5.
King, B. R.. (2007). Drought in Utah: Learning from the Past— Preparing for the Future. Digital Commons - USU (Utah State University).10 indexed citations
King, B. R., Felicity McAllister, & Terence Done. (2002). Modelling the impact of the Burdekin, Herbert, Tully and Johnstone River plumes on the Central Great Barrier Reef. CRC Reef Research Centre Technical Report No. 44.17 indexed citations
8.
King, B. R.. (1993). Australasian Bird Reviews: No. 6 – THE STATUS OF QUEENSLAND SEABIRDS. 17. 65–92.5 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.