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.
Global patterns of marine mammal, seabird, and sea turtle bycatch reveal taxa-specific and cumulative megafauna hotspots
2014352 citationsRebecca L. Lewison, Larry B. Crowder et al.Proceedings of the National Academy of Sciencesprofile →
Dynamic ocean management: Defining and conceptualizing real-time management of the ocean
2015337 citationsSara M. Maxwell, Elliott L. Hazen et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Daniel C. Dunn
Since
Specialization
Citations
This map shows the geographic impact of Daniel C. Dunn'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 Daniel C. Dunn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Dunn more than expected).
This network shows the impact of papers produced by Daniel C. Dunn. 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 Daniel C. Dunn. The network helps show where Daniel C. Dunn may publish in the future.
Co-authorship network of co-authors of Daniel C. Dunn
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Dunn.
A scholar is included among the top collaborators of Daniel C. Dunn 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 Daniel C. Dunn. Daniel C. Dunn is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hobday, Alistair J., Sara M. Maxwell, Jan McDonald, et al.. (2014). Dynamic Ocean Management: Integrating Scientific and Technological Capacity with Law, Policy, and Management. eCite Digital Repository (University of Tasmania). 33(2). 125–165.82 indexed citations
14.
Lewison, Rebecca L., Larry B. Crowder, Bryan P. Wallace, et al.. (2014). Global patterns of marine mammal, seabird, and sea turtle bycatch reveal taxa-specific and cumulative megafauna hotspots. Proceedings of the National Academy of Sciences. 111(14). 5271–5276.352 indexed citations breakdown →
15.
Garcia, Serge M., Jeppe Kolding, Jake Rice, et al.. (2011). Selective fishing and balanced harvest in relation to fisheries and ecosystem sustainability. Report of a scientific workshop organized by the IUCN-CEM Fisheries Expert Group (FEG) and the European Board of Conservation and Development (EBCD) in Nagoya (Japan) 14-16 October 2010. Institutional Archive of Ifremer (French Research Institute for Exploitation of the Sea).1 indexed citations
16.
Garcia, Serge M., Jeppe Kolding, J. Rice, et al.. (2011). Selective fishing and balanced harvest in relation to fisheries and ecosystem sustainability. IUCN eBooks.16 indexed citations
Ardron, Jeff, Daniel C. Dunn, Colleen Corrigan, et al.. (2009). Defining ecologically or biologically significant areas in the open oceans and deep seas : analysis, tools, resources and illustrations. Flanders Marine Institute (Flanders Marine Institute).14 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.