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.
Generating surfaces of daily meteorological variables over large regions of complex terrain
19971.2k citationsPeter Thornton, Michael A. White et al.profile →
A continental phenology model for monitoring vegetation responses to interannual climatic variability
19971.0k citationsMichael A. White, Peter Thornton et al.profile →
Countries citing papers authored by Michael A. White
Since
Specialization
Citations
This map shows the geographic impact of Michael A. White'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 Michael A. White with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael A. White more than expected).
Fields of papers citing papers by Michael A. White
This network shows the impact of papers produced by Michael A. White. 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 Michael A. White. The network helps show where Michael A. White may publish in the future.
Co-authorship network of co-authors of Michael A. White
This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. White.
A scholar is included among the top collaborators of Michael A. White 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 Michael A. White. Michael A. White is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ganguly, Sangram, Michael A. White, C. Milesi, et al.. (2012). A simple Parametric Estimation of Live Forest Aboveground Biomass in California Using Satellite Derived Metrics of Canopy Height and Leaf Area Index. AGU Fall Meeting Abstracts. 2012.4 indexed citations
6.
White, Michael A.. (2011). Indomitable snow frogs. National geographic/The complete National geographic/The National geographic magazine. 219(4). 138–145.1 indexed citations
7.
White, Michael A.. (2010). The early history of White's illusion. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 5.9 indexed citations
8.
Pieters, C. M., et al.. (2010). Assessment of the Complete Moon Mineralogy Mapper Data Set and On-Orbit Validation of the Spectral Calibration. LPI. 2190.1 indexed citations
9.
Newell, Graeme, Michael A. White, Peter Griffioen, & Steve J. Sinclair. (2010). Potential impacts of a changing climate on selected terrestrial ecosystems in northern Victoria.. Proceedings of the Royal Society of Victoria. 122(2).
Ichii, Kazuhito, Michael A. White, Hirofumi Hashimoto, et al.. (2006). Develop a Continental-scale Measure of Gross Primary Production by Combining MODIS and AmeriFlux Data through Support Vector Machine. AGUFM. 2006.2 indexed citations
White, Michael A., et al.. (2002). Coarse Resolution Vegetation Phenology Modeling. AGU Fall Meeting Abstracts. 2002.1 indexed citations
15.
Abbott, Steve, Michael A. White, & John Gribbin. (1999). Stephen Hawking: A Life in Science. The Mathematical Gazette. 83(496). 164–164.1 indexed citations
White, Michael A.. (1975). Distinctive Features of External Study in Australian Universities and Colleges: An Historical and Comparative Perspective..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.