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.
Rapid population decline in migratory shorebirds relying on Yellow Sea tidal mudflats as stopover sites
2017376 citationsColin E. Studds, Bruce E. Kendall et al.Nature Communicationsprofile →
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 Clive Minton'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 Clive Minton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clive Minton more than expected).
This network shows the impact of papers produced by Clive Minton. 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 Clive Minton. The network helps show where Clive Minton may publish in the future.
Co-authorship network of co-authors of Clive Minton
This figure shows the co-authorship network connecting the top 25 collaborators of Clive Minton.
A scholar is included among the top collaborators of Clive Minton 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 Clive Minton. Clive Minton is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Minton, Clive, et al.. (2017). White-headed stilt (Himantopus leucocephalus) now an international migratory wader?. Queensland's institutional digital repository (The University of Queensland).
4.
Studds, Colin E., Bruce E. Kendall, Nicholas Murray, et al.. (2017). Rapid population decline in migratory shorebirds relying on Yellow Sea tidal mudflats as stopover sites. Nature Communications. 8(1). 14895–14895.376 indexed citations breakdown →
Garnett, Stephen T. & Clive Minton. (2016). Notes on the Movements and Distribution of Little Curlew Numenius minutus in Northern Australia. Australian field ornithology. 11(3).1 indexed citations
7.
Collins, Peter, et al.. (2016). A Possible Record of Hybridisation Between Pied Haematopus longirostris and Sooty Oystercatchers H fuliginosus at Mud Islands, Victoria. Australian field ornithology. 18(4).
Minton, Clive, et al.. (2013). Factors affecting the number of pairs and breeding success of Mute Swans Cygnus olor in an area of south Staffordshire, England, between 1961 and 1985. Wildfowl (Wildfowl & Wetlands Trust). 103–109.1 indexed citations
Minton, Clive, et al.. (2012). TRENDS OF SHOREBIRDS IN CORNER INLET, VICTORIA, 1982-2011. Queensland's institutional digital repository (The University of Queensland). 61. 3–18.13 indexed citations
Lindström, Åke, Clive Minton, & Staffan Bensch. (1999). First recovery of a Red Knot Calidris canutis involving the breeding population on New Siberian Islands. 89. 33–35.1 indexed citations
17.
Minton, Clive, et al.. (1980). Mortality of Mute Swan progeny in an area of south Staffordshire. Wildfowl (Wildfowl & Wetlands Trust). 31(31). 22–28.16 indexed citations
18.
Minton, Clive, et al.. (1979). Pairing and breeding of Mute Swans in relation to natal area. Wildfowl (Wildfowl & Wetlands Trust). 30(30). 27–30.19 indexed citations
Minton, Clive. (1968). Pairing and breeding of mute swans. Wildfowl (Wildfowl & Wetlands Trust).36 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.