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-river delta-front estuaries as natural “recorders” of global environmental change
2009496 citationsThomas S. Bianchi, Mead A. Allisonprofile →
High rates of organic carbon burial in fjord sediments globally
2015315 citationsRichard W. Smith, Thomas S. Bianchi et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Mead A. Allison
Since
Specialization
Citations
This map shows the geographic impact of Mead A. Allison'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 Mead A. Allison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mead A. Allison more than expected).
This network shows the impact of papers produced by Mead A. Allison. 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 Mead A. Allison. The network helps show where Mead A. Allison may publish in the future.
Co-authorship network of co-authors of Mead A. Allison
This figure shows the co-authorship network connecting the top 25 collaborators of Mead A. Allison.
A scholar is included among the top collaborators of Mead A. Allison 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 Mead A. Allison. Mead A. Allison is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Törnqvist, Torbjörn E., et al.. (2017). Understanding Mississippi Delta Subsidence through Stratigraphic and Geotechnical Analysis of a Continuous Holocene Core at a Subsidence Superstation. AGU Fall Meeting Abstracts. 2017.4 indexed citations
Bianchi, Thomas S., et al.. (2014). Historical Reconstruction of Organic Carbon Decay and Preservation in the Sediment on the East China Sea Shelf. 2014 AGU Fall Meeting. 2014.3 indexed citations
10.
Kolker, Alexander S., Drew S. Coleman, Katherine Telfeyan, et al.. (2013). Underground and Previously Undiscovered Rivers in the Mississippi Delta. AGUFM. 2013.1 indexed citations
Allison, Mead A., et al.. (2006). Evidence for Hyperpycnal Sediment Control on Evolution of the Mississippi and Atchafalaya Deltaic Clinoforms. AGU Fall Meeting Abstracts. 2006.1 indexed citations
15.
McKee, Brent A., et al.. (2004). Nature of Decadal-scale Sediment Accumulation in the Mississippi River Deltaic Region. AGU Fall Meeting Abstracts. 2004.15 indexed citations
16.
Monacci, Natalie, et al.. (2004). The Effect of Hurricane Lili on the Distribution of Organic Matter in the Inner Louisiana Shelf (Gulf of Mexico, USA). AGU Fall Meeting Abstracts. 2004.2 indexed citations
Allison, Mead A.. (1998). Historical Changes in the Ganges-Brahmaputra Delta Front. Journal of Coastal Research. 14(4). 1269–1275.136 indexed citations
20.
Allison, Mead A.. (1998). Geologic Framework and Environmental Status of the Ganges-Brahmaputra Delta. Journal of Coastal Research. 14(3). 826–836.68 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.