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.
Bottom-Up Ecosystem Trophic Dynamics Determine Fish Production in the Northeast Pacific
2005539 citationsD. M. Ware, Richard E. ThomsonScienceprofile →
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 D. M. Ware'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 D. M. Ware with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. M. Ware more than expected).
This network shows the impact of papers produced by D. M. Ware. 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 D. M. Ware. The network helps show where D. M. Ware may publish in the future.
Co-authorship network of co-authors of D. M. Ware
This figure shows the co-authorship network connecting the top 25 collaborators of D. M. Ware.
A scholar is included among the top collaborators of D. M. Ware 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 D. M. Ware. D. M. Ware is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Fleming, Christopher M., James C. R. Smart, Brendan Mackey, et al.. (2018). Valuing aggregated ecosystem services at a national and regional scale for Vanuatu using a remotely operable, rapid assessment methodology. RePEc: Research Papers in Economics.2 indexed citations
4.
Ware, D. M., et al.. (2017). Funding coastal protection in a changing climate: lessons from three projects in Australia. ResearchOnline at James Cook University (James Cook University).1 indexed citations
5.
Ware, D. M., et al.. (2016). Mechanisms to finance climate change adaptation in Australia - the supply and demand for climate change adaptation finance in Australia and potential adaptation finance mechanisms. ResearchOnline at James Cook University (James Cook University).2 indexed citations
6.
Raybould, Michael, David W. Anning, Liz Fredline, & D. M. Ware. (2015). URBAN BEACH VENUES: VULNERABILITY AND SUSTAINABILITY IN THE FACE OF CLIMATE CHANGE. Bond University Research Portal (Bond University). 10(1). 84–105.2 indexed citations
7.
Ware, D. M., et al.. (2015). An overview of financing models for coastal protection in Australia. 933.2 indexed citations
8.
Ware, D. M., et al.. (2013). Climate change risks for Victoria's surf coast. 204.1 indexed citations
Ware, D. M., et al.. (2012). Behaviour of first-feeding peruvian anchoveta larvae, Engraulis ringens J.. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas).1 indexed citations
11.
Ware, D. M.. (2012). A possible recruitment model for the peruvian anchovy. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas).
Ware, D. M. & Richard E. Thomson. (2005). Bottom-Up Ecosystem Trophic Dynamics Determine Fish Production in the Northeast Pacific. Science. 308(5726). 1280–1284.539 indexed citations breakdown →
Ware, D. M.. (1976). Marine Ecology and Fisheries.. Journal of the Fisheries Research Board of Canada. 33(1). 194–194.15 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.