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.
Mapping the global potential for marine aquaculture
2017379 citationsRebecca R. Gentry, Halley E. Froehlich et al.Nature Ecology & Evolutionprofile →
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 Michael Parke'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 Michael Parke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Parke more than expected).
This network shows the impact of papers produced by Michael Parke. 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 Michael Parke. The network helps show where Michael Parke may publish in the future.
Co-authorship network of co-authors of Michael Parke
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Parke.
A scholar is included among the top collaborators of Michael Parke 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 Michael Parke. Michael Parke is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Brown, Stephen K., Kenric E. Osgood, Vincent G. Guida, et al.. (2018). Habitat science is a fundamental element in an ecosystem-based fisheries management framework : an update to the Marine Fisheries Habitat Assessment Improvement Plan /.2 indexed citations
Gentry, Rebecca R., Halley E. Froehlich, Peter Kareiva, et al.. (2017). Mapping the global potential for marine aquaculture. Nature Ecology & Evolution. 1(9). 1317–1324.379 indexed citations breakdown →
Donovan, Mary K., Christopher Kelley, Lynn Waterhouse, et al.. (2011). BotCam: a baited camera system for nonextractive monitoring of bottomfish species. Fishery Bulletin. 109(1). 56–67.41 indexed citations
Parke, Michael. (2007). Linking Hawaii Fisherman Reported Commercial Bottomfish Catch Data to Potential Bottomfish Habitat and Proposed Restricted Fishing Areas using GIS and Spatial Analysis. University of North Texas Digital Library (University of North Texas).10 indexed citations
12.
Parke, Michael, George H. Born, R. R. Leben, Craig McLaughlin, & Craig C. Tierney. (1998). Altimeter sampling characteristics using a single satellite. Journal of Geophysical Research Atmospheres. 103(C5). 10513–10526.10 indexed citations
Kubitschek, D., Michael Parke, George H. Born, James M. Johnson, & Craig McLaughlin. (1995). CU sea level system at Platform Harvest. Marine Geodesy. 18(1-2). 69–83.8 indexed citations
Parke, Michael & George H. Born. (1993). The Effects of Altimeter Sampling Characteristics: Some Geosat Examples. Defense Technical Information Center (DTIC).1 indexed citations
17.
Parke, Michael. (1987). The Applicability of Satellite Altimetry Data to Tidal Models. Hydraulic Engineering. 1134–1139.
Yoder, C. F., J. G. Williams, & Michael Parke. (1981). Tidal variations of Earth rotation. Journal of Geophysical Research Atmospheres. 86(B2). 881–891.210 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.