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.
Observations beneath Pine Island Glacier in West Antarctica and implications for its retreat
2010456 citationsAdrian Jenkins, Pierre Dutrieux 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 Stephen McPhail
Since
Specialization
Citations
This map shows the geographic impact of Stephen McPhail'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 Stephen McPhail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen McPhail more than expected).
This network shows the impact of papers produced by Stephen McPhail. 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 Stephen McPhail. The network helps show where Stephen McPhail may publish in the future.
Co-authorship network of co-authors of Stephen McPhail
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen McPhail.
A scholar is included among the top collaborators of Stephen McPhail 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 Stephen McPhail. Stephen McPhail is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Salavasidis, Georgios, Andrea Munafò, Catherine A. Harris, et al.. (2018). Towards Arctic AUV Navigation. IFAC-PapersOnLine. 51(29). 287–292.14 indexed citations
Griffiths, Geoffrey & Stephen McPhail. (2011). AUVs for Depth and Distance: Autosub6000 and Autosub Long Range. ePrints Soton (University of Southampton).6 indexed citations
Furlong, Maaten, Stephen McPhail, & Miles Pebody. (2009). A New Collision Avoidance System for the Autosub6000 Autonomous Underwater Vehicle. ePrints Soton (University of Southampton).3 indexed citations
McPhail, Stephen. (2007). Autosub operations in the Arctic and the Antarctic. ePrints Soton (University of Southampton).3 indexed citations
15.
Jones, Daniel O. B., et al.. (2005). Seabed photography from an Autonomous Underwater Vehicle. ePrints Soton (University of Southampton).4 indexed citations
16.
Griffiths, G., N.W. Millard, Stephen McPhail, et al.. (2001). Standard and special: Sensors used during the Autosub Science Missions programme. ePrints Soton (University of Southampton).5 indexed citations
17.
Millard, N.W., Stephen McPhail, Peter Stevenson, et al.. (2001). Measurements of the sea ice thickness distribution and icebergs using Autonomous Underwater Vehicle Autosub 2 in Antarctica. AGUFM. 2001.2 indexed citations
18.
Fernandes, Paul G., Andrew S. Brierley, E. John Simmonds, et al.. (2000). Fish do not avoid survey vessels. Nature. 404(6773). 35–36.103 indexed citations
McPhail, Stephen, et al.. (1985). An instrument to measure differential pore pressures in deep ocean sediments: Pop-Up-Pore Pressure Instrument (PUPPI). ePrints Soton (University of Southampton).4 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.