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.
Wildlife Management: Crocodiles and Alligators.
1988431 citationsGrahame J. W. Webb, S. Charlie Manolis et al.profile →
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 PJ Whitehead'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 PJ Whitehead with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites PJ Whitehead more than expected).
This network shows the impact of papers produced by PJ Whitehead. 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 PJ Whitehead. The network helps show where PJ Whitehead may publish in the future.
Co-authorship network of co-authors of PJ Whitehead
This figure shows the co-authorship network connecting the top 25 collaborators of PJ Whitehead.
A scholar is included among the top collaborators of PJ Whitehead 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 PJ Whitehead. PJ Whitehead is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Cooke, Peter M, et al.. (2009). Buffalo and tin, baki and Jesus: the creation of a modern wilderness.. 69–83.5 indexed citations
2.
Russell‐Smith, Jeremy, et al.. (2009). Things fall apart: the end of an era of systematic Indigenous fire management.. 23–40.11 indexed citations
3.
Gorman, Julian & PJ Whitehead. (2006). Small-scale commercial plant harvests by Indigenous communities. CDU eSpace Institutional Repository (Charles Darwin University).8 indexed citations
4.
Whitehead, PJ. (2003). Indigenous products from Indigenous people: linking enterprise, wildlife use and conservation. CDU eSpace Institutional Repository (Charles Darwin University).9 indexed citations
5.
Gorman, Julian, et al.. (2003). Feasibility of local, small scale harvests for indigenous communities. CDU eSpace Institutional Repository (Charles Darwin University).1 indexed citations
6.
Whitehead, PJ, et al.. (2001). The role of western science in wetland management by Aboriginal communities in the ‘Top End’ of Australia. CDU eSpace Institutional Repository (Charles Darwin University). 7–13.1 indexed citations
7.
Woinarski, John C. Z., R. J. Fensham, PJ Whitehead, & A. Fisher. (2000). Developing an Analytical Framework for Monitoring Biodiversity in Australia's Rangelands. CDU eSpace Institutional Repository (Charles Darwin University).21 indexed citations
8.
Whitehead, PJ, et al.. (1999). Wise Use of Wetlands in Northern Australia: Indigenous Use.6 indexed citations
Bowman, David M. J. S. & PJ Whitehead. (1993). Is conservation biology the dismal science. eCite Digital Repository (University of Tasmania).2 indexed citations
Thorbjarnarson, John B., Grahame J. W. Webb, S. Charlie Manolis, & PJ Whitehead. (1989). Wildlife Management: Crocodiles and Alligators. Journal of Wildlife Management. 53(4). 1186–1186.3 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.