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.
Large groundwater inputs to coastal waters revealed by 226Ra enrichments
Countries citing papers authored by Willard S. Moore
Since
Specialization
Citations
This map shows the geographic impact of Willard S. Moore'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 Willard S. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Willard S. Moore more than expected).
Fields of papers citing papers by Willard S. Moore
This network shows the impact of papers produced by Willard S. Moore. 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 Willard S. Moore. The network helps show where Willard S. Moore may publish in the future.
Co-authorship network of co-authors of Willard S. Moore
This figure shows the co-authorship network connecting the top 25 collaborators of Willard S. Moore.
A scholar is included among the top collaborators of Willard S. Moore 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 Willard S. Moore. Willard S. Moore is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Xin, Pei, Alicia M. Wilson, Chengji Shen, et al.. (2022). Surface Water and Groundwater Interactions in Salt Marshes and Their Impact on Plant Ecology and Coastal Biogeochemistry. Reviews of Geophysics. 60(1).144 indexed citations breakdown →
Luo, Xiao, et al.. (2011). Assessment of submarine groundwater discharge in Tolo Harbour, Hong Kong, using 222Rn, 223Ra and 224Ra. AGUFM. 2011.2 indexed citations
16.
Windom, Herbert L., Willard S. Moore, & Felipe Niencheski. (2007). 28. Influence of Groundwater Discharge Through a Coastal Sandy Barrier in Southern Brazil on Seawater Metal Chemistry. Tunnelling and Underground Space Technology. 17(4). 15–15.2 indexed citations
17.
Smoak, Joseph M., et al.. (2006). Large submarine groundwater inputs to Sepetiba Bay, Rio de Janeiro State, Brazil. AGUFM. 2006.1 indexed citations
18.
Moore, Willard S., C. K. Paull, & William Ussler. (2001). Short-lived Radium Isotopes in the Hawaiian Margin: Evidence for Large Fluid Fluxes Through the Puna Ridge. AGUFM. 2001.1 indexed citations
19.
Moore, Willard S. & Ralph Arnold. (1996). Measurement of 223 Ra and 224 Ra in coastal waters using a delayed coincidence counter. Journal of Geophysical Research Atmospheres. 101(C1). 1321–1329.489 indexed citations breakdown →
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.