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.
Bias correction of daily GCM rainfall for crop simulation studies
2006548 citationsAmor V.M. Ines, James HansenAgricultural and Forest Meteorologyprofile →
Climate sensitivity, sea level and atmospheric carbon dioxide
2013432 citationsJames Hansen, Pushker Kharecha et al.profile →
Climate risk management and rural poverty reduction
2018210 citationsJames Hansen, Jon Hellin et al.profile →
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 James Hansen'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 James Hansen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Hansen more than expected).
This network shows the impact of papers produced by James Hansen. 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 James Hansen. The network helps show where James Hansen may publish in the future.
Co-authorship network of co-authors of James Hansen
This figure shows the co-authorship network connecting the top 25 collaborators of James Hansen.
A scholar is included among the top collaborators of James Hansen 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 James Hansen. James Hansen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hellin, Jon, et al.. (2017). Scaling up agricultural adaptation through insurance: Bringing together insurance, big data and agricultural innovation. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research).2 indexed citations
6.
Taylor, Lyla L., Joe Quirk, Rachel M. S. Thorley, et al.. (2015). Enhanced Weathering Strategies for Stabilizing Climate and Averting Ocean Acidification - Supplementary Information. Nature Climate Change. 6.1 indexed citations
7.
Coulibaly, Jeanne Y., et al.. (2015). Which climate services do farmers and pastoralists need in Malawi. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research).3 indexed citations
8.
Tall, Arame, et al.. (2015). Delivering climate services for farmers and pastoralists through interactive radio. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research).4 indexed citations
9.
Tall, Arame, et al.. (2015). Tanzania summary of baseline studies: country report for the GFCS Adaptation Program in Africa.. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research).2 indexed citations
Tall, Arame, James Hansen, Bruce Campbell, et al.. (2014). Scaling up climate services for farmers: Mission Possible. Learning from good practice in Africa and South Asia. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research).30 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.