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.
Digital repeat photography for phenological research in forest ecosystems
2011479 citationsOliver Sonnentag, Koen Hufkens et al.Agricultural and Forest Meteorologyprofile →
Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery
2018356 citationsAndrew D. Richardson, Koen Hufkens et al.Scientific Dataprofile →
Ecosystem warming extends vegetation activity but heightens vulnerability to cold temperatures
2018280 citationsAndrew D. Richardson, Koen Hufkens et al.Natureprofile →
Global urban structural growth shows a profound shift from spreading out to building up
202446 citationsSteve Frolking, Tom Milliman et al.Nature Citiesprofile →
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 Tom Milliman'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 Tom Milliman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Milliman more than expected).
This network shows the impact of papers produced by Tom Milliman. 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 Tom Milliman. The network helps show where Tom Milliman may publish in the future.
Co-authorship network of co-authors of Tom Milliman
This figure shows the co-authorship network connecting the top 25 collaborators of Tom Milliman.
A scholar is included among the top collaborators of Tom Milliman 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 Tom Milliman. Tom Milliman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Frolking, Steve, et al.. (2024). Global urban structural growth shows a profound shift from spreading out to building up. Nature Cities. 1(9). 555–566.46 indexed citations breakdown →
Richardson, Andrew D., Koen Hufkens, Tom Milliman, et al.. (2018). Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery. Scientific Data. 5(1). 180028–180028.356 indexed citations breakdown →
Richardson, Andrew D., Koen Hufkens, Tom Milliman, et al.. (2018). Ecosystem warming extends vegetation activity but heightens vulnerability to cold temperatures. Nature. 560(7718). 368–371.280 indexed citations breakdown →
10.
Hufkens, Koen, David Basler, Tom Milliman, E. K. Melaas, & Andrew D. Richardson. (2018). An integrated phenology modelling framework in r. Methods in Ecology and Evolution. 9(5). 1276–1285.164 indexed citations
Toomey, Michael, M. A. Friedl, Koen Hufkens, et al.. (2012). Monitoring of phenological control on ecosystem fluxes using digital cameras and eddy covariance data. University of New Hampshire Scholars Repository (University of New Hampshire at Manchester). 2012.1 indexed citations
15.
Sonnentag, Oliver, Koen Hufkens, Adam M. Young, et al.. (2011). Digital repeat photography for phenological research in forest ecosystems. Agricultural and Forest Meteorology. 152. 159–177.479 indexed citations breakdown →
Hufkens, Koen, et al.. (2010). Comparing near-earth and satellite remote sensing based phenophase estimates: an analysis using multiple webcams and MODIS. University of New Hampshire Scholars Repository (University of New Hampshire at Manchester). 2010.1 indexed citations
18.
Frolking, Steve, et al.. (2009). Intercomparison of Models to Estimate Methane Emissions From Rice Agriculture Using Common Data Sets. University of New Hampshire Scholars Repository (University of New Hampshire at Manchester). 2009.1 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.