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.
Methane emission from natural wetlands: Global distribution, area, and environmental characteristics of sources
Countries citing papers authored by Elaine Matthews
Since
Specialization
Citations
This map shows the geographic impact of Elaine Matthews'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 Elaine Matthews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elaine Matthews more than expected).
This network shows the impact of papers produced by Elaine Matthews. 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 Elaine Matthews. The network helps show where Elaine Matthews may publish in the future.
Co-authorship network of co-authors of Elaine Matthews
This figure shows the co-authorship network connecting the top 25 collaborators of Elaine Matthews.
A scholar is included among the top collaborators of Elaine Matthews 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 Elaine Matthews. Elaine Matthews is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Rossow, William B., Filipe Aires, Catherine Prigent, & Elaine Matthews. (2013). Joint Characterization of the Vegetation by Satellite Observations From Visible to Microwave Wavelengths: A Sensitivity Analysis. Characterization of the Vegetation by Satellite Observations.1 indexed citations
5.
Bruhwiler, L. M. & Elaine Matthews. (2007). Can we reconcile our understanding of the atmospheric methane budget over the past decades with atmospheric observations. AGU Fall Meeting Abstracts. 2007.1 indexed citations
6.
Gilman, Eric, Hanneke Van Lavieren, JC Ellison, et al.. (2006). Capacity of Pacific Island Countries and Territories to Adapt to Mangrove Responses to Changes in Sea-level and Other Climate Change Effects. eCite Digital Repository (University of Tasmania). 61–81.1 indexed citations
Gauci, Vincent, Elaine Matthews, Nancy B. Dise, et al.. (2004). Sulfate suppression of the wetland methane source in the 20th and 21st centuries. Open Research Online (The Open University).2 indexed citations
Fung, Inez, Jasmin G. John, J. Lerner, et al.. (1991). Three‐dimensional model synthesis of the global methane cycle. Journal of Geophysical Research Atmospheres. 96(D7). 13033–13065.742 indexed citations breakdown →
16.
Matthews, Elaine & Inez Fung. (1987). Methane emission from natural wetlands: Global distribution, area, and environmental characteristics of sources. Global Biogeochemical Cycles. 1(1). 61–86.805 indexed citations breakdown →
Matthews, Elaine. (1984). Vegetation, land-use and seasonal albedo data sets: Documentation of archived data tape. NASA STI Repository (National Aeronautics and Space Administration).31 indexed citations
Matthews, Elaine, et al.. (1978). Analysis of Satellite-to-Satellite Tracking (SST) and altimetry data from GEOS-C. NASA STI/Recon Technical Report N. 78. 22133.4 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.