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.
Lithofacies types and vertical profile models; an alternative approach to the description and environmental interpretation of glacial diamict and diamictite sequences
1983617 citationsN. Eyles, Carolyn H. Eyles et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of N. Eyles'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 N. Eyles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Eyles more than expected).
This network shows the impact of papers produced by N. Eyles. 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 N. Eyles. The network helps show where N. Eyles may publish in the future.
Co-authorship network of co-authors of N. Eyles
This figure shows the co-authorship network connecting the top 25 collaborators of N. Eyles.
A scholar is included among the top collaborators of N. Eyles 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 N. Eyles. N. Eyles is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Eyles, N., et al.. (2009). Earthquake (1935 Timiskaming M6.2) Triggered Slumps in Lake Kipawa, Western Quebec Seismic Zone, Canada. AGU Spring Meeting Abstracts. 2009.1 indexed citations
5.
Eyles, N., et al.. (2003). Geophysical and Sedimentological Assessment of Urban Impacts in a Lake Ontario Watershed and Lagoon: Frenchman's Bay, Pickering, Ontario. Geoscience Canada. 30(3).14 indexed citations
6.
Januszczak, Nicole & N. Eyles. (2001). ODP Drilling Leads to a New Model of Shelf and Slope Sedimentation along the Antarctic Continental Margin. Geoscience Canada. 28(4).1 indexed citations
7.
Howard, Ken W. F., et al.. (1995). The Oak Ridges Moraine of Southern Ontario: A Ground-water Resource at Risk. Geoscience Canada. 22(3). 101–120.38 indexed citations
Eyles, N., et al.. (1992). The Geology of Garbage in Southern Ontario. Geoscience Canada. 19(2).3 indexed citations
10.
Eyles, N., et al.. (1988). History of Geology: Placer Gold Mining in Pleistocene Glacial Sediments of the Cariboo District, British Columbia, Canada 1858-1988. Geoscience Canada. 15(4).1 indexed citations
11.
Eyles, N., et al.. (1985). The Application of Basin Analysis Techniques to Glaciated Terrains: An Example from the Lake Ontario Basin, Canada. Geoscience Canada. 12(1).37 indexed citations
12.
Eyles, N., Carolyn H. Eyles, Karen Lau, & Brian Clark. (1985). Applied Sedimentology in an Urban Environment — the Case of Scarborough Bluffs, Ontario: Canada's Most Intractable Erosion Problem. Geoscience Canada. 12(3).1 indexed citations
13.
Eyles, N., et al.. (1985). Pleistocene coquinas of the glaciomarine Yakataga Formation, Alaska: implications for mixed glacial/carbonate sequences. Geol. Soc. Am., Abstr. Programs; (United States). 17.1 indexed citations
14.
Eyles, N.. (1983). GLACIAL GEOLOGY. AN INTRODUCTION FOR ENGINEERS AND EARTH SCIENTISTS. Pergamon Press eBooks.82 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.