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.
Anthropogenic carbon and ocean pH
20032.7k citationsK. Caldeira, M. WickettNatureprofile →
Ocean model predictions of chemistry changes from carbon dioxide emissions to the atmosphere and ocean
2005827 citationsKen Caldeira, M. WickettJournal of Geophysical Research Atmospheresprofile →
Combined climate and carbon-cycle effects of large-scale deforestation
2007723 citationsGovindasamy Bala, Ken Caldeira et al.Proceedings of the National Academy of Sciencesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of M. Wickett'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 M. Wickett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Wickett more than expected).
This network shows the impact of papers produced by M. Wickett. 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 M. Wickett. The network helps show where M. Wickett may publish in the future.
Co-authorship network of co-authors of M. Wickett
This figure shows the co-authorship network connecting the top 25 collaborators of M. Wickett.
A scholar is included among the top collaborators of M. Wickett 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 M. Wickett. M. Wickett is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Belak, James, P. E. A. Turchi, M. Dörr, et al.. (2009). Coupling of Atomistic and Meso-scale Phase-field Modeling of Rapid Solidification. Bulletin of the American Physical Society.2 indexed citations
Bala, Govindasamy, Ken Caldeira, M. Wickett, et al.. (2007). Combined climate and carbon-cycle effects of large-scale deforestation. Proceedings of the National Academy of Sciences. 104(16). 6550–6555.723 indexed citations breakdown →
6.
Caldeira, K., Govindasamy Bala, M. Wickett, T. J. Phillips, & David B. Lobell. (2006). Carbon, Biophysics, and Climate: Where do Forests Warm? Where do Forests Cool?. AGU Fall Meeting Abstracts. 2006.1 indexed citations
7.
Duffy, P., Govindasamy Bala, P. J. Gleckler, et al.. (2006). Global Climate Simulation in a Multi-scale Modeling Framework: Sensitivity to GCM- Resolution. AGU Fall Meeting Abstracts. 2006.1 indexed citations
Caldeira, Ken & M. Wickett. (2005). Ocean model predictions of chemistry changes from carbon dioxide emissions to the atmosphere and ocean. Journal of Geophysical Research Atmospheres. 110(C9).827 indexed citations breakdown →
Caldeira, K., M. Wickett, Philip B. Duffy, & James Barry. (2001). Anthropogenic carbon and ocean pH. RePEc: Research Papers in Economics. 2001.145 indexed citations
19.
Caldeira, K., Howard J. Herzog, & M. Wickett. (2001). Predicting and evaluating the effectiveness of ocean carbon sequestration by direct injection. University of North Texas Digital Library (University of North Texas).13 indexed citations
20.
Orr, James C., Olivier Aumont, Andrew Yool, et al.. (2001). Ocean CO2 sequestration efficiency from 3-d ocean model comparison. Bern Open Repository and Information System (University of Bern).18 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.