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.
Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 3
2016337 citationsMichele Thornton, Yaxing Wei et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Robert B. Cook
Since
Specialization
Citations
This map shows the geographic impact of Robert B. Cook'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 Robert B. Cook with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert B. Cook more than expected).
This network shows the impact of papers produced by Robert B. Cook. 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 Robert B. Cook. The network helps show where Robert B. Cook may publish in the future.
Co-authorship network of co-authors of Robert B. Cook
This figure shows the co-authorship network connecting the top 25 collaborators of Robert B. Cook.
A scholar is included among the top collaborators of Robert B. Cook 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 Robert B. Cook. Robert B. Cook is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Santoro, Mattia, Yaxing Wei, Enrico Boldrini, et al.. (2013). Brokering Services to Evaluate, Visualize, and Analyze Terrestrial Biosphere Model Output and Observations. EGUGA.1 indexed citations
6.
Huntzinger, D. N., Christopher R. Schwalm, A. M. Michalak, et al.. (2013). Global net land carbon sink: Results from the Multi-scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP). AGUFM. 2013.
Hayes, Daniel J., David P. Turner, G. Stinson, et al.. (2011). Reconciling estimates of the contemporary North American carbon balance among an inventory-based approach, terrestrial biosphere models, and atmospheric inversions. AGUFM. 2011.1 indexed citations
10.
Cook, Robert B., et al.. (2009). Defining the Data Citation Problem in the DataNet Context. AGU Fall Meeting Abstracts. 2009.1 indexed citations
Cook, Robert B., et al.. (2007). FLUXNET: Data from a Global Network of Eddy-Covariance Flux Towers. AGU Fall Meeting Abstracts. 2007.2 indexed citations
Foord, Eugene E. & Robert B. Cook. (1989). Mineralogy and paragenesis of the McAllister Sn-Ta-bearing pegmatite, Coosa County, Alabama. The Canadian Mineralogist. 27(1). 93–105.13 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.