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.
Google Earth Engine: Planetary-scale geospatial analysis for everyone
20179.0k citationsNoel Gorelick, M. Hancher et al.Remote Sensing of Environmentprofile →
High-Resolution Global Maps of 21st-Century Forest Cover Change
20138.0k citationsMatthew C. Hansen, Peter Potapov et al.Scienceprofile →
The global distribution and trajectory of tidal flats
2018711 citationsNicholas Murray, Stuart Phinn et al.Natureprofile →
Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine
2016616 citationsJinwei Dong, Xiangming Xiao et al.Remote Sensing of Environmentprofile →
A scalable satellite-based crop yield mapper
2015419 citationsDavid Thau et al.Remote Sensing of Environmentprofile →
Automated cropland mapping of continental Africa using Google Earth Engine cloud computing
2017382 citationsJun Xiong, Prasad S. Thenkabail et al.ISPRS Journal of Photogrammetry and Remote Sensingprofile →
Distribution and dynamics of mangrove forests of South Asia
2014302 citationsChandra Giri, Jordan Long et al.Journal of Environmental Managementprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of David Thau'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 David Thau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Thau more than expected).
This network shows the impact of papers produced by David Thau. 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 David Thau. The network helps show where David Thau may publish in the future.
Co-authorship network of co-authors of David Thau
This figure shows the co-authorship network connecting the top 25 collaborators of David Thau.
A scholar is included among the top collaborators of David Thau 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 David Thau. David Thau is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Murray, Nicholas, Stuart Phinn, Michael DeWitt, et al.. (2018). The global distribution and trajectory of tidal flats. Nature. 565(7738). 222–225.711 indexed citations breakdown →
6.
Wheeler, David, Brookie Guzder-Williams, Rachael Petersen, & David Thau. (2018). Rapid MODIS-based detection of tree cover loss. International Journal of Applied Earth Observation and Geoinformation. 69. 78–87.9 indexed citations
7.
Gorelick, Noel, M. Hancher, Mike Dixon, et al.. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment. 202. 18–27.9025 indexed citations breakdown →
8.
Xiong, Jun, Prasad S. Thenkabail, Murali Krishna Gumma, et al.. (2017). Automated cropland mapping of continental Africa using Google Earth Engine cloud computing. ISPRS Journal of Photogrammetry and Remote Sensing. 126. 225–244.382 indexed citations breakdown →
9.
Dong, Jinwei, Xiangming Xiao, Michael A. Menarguez, et al.. (2016). Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine. Remote Sensing of Environment. 185. 142–154.616 indexed citations breakdown →
10.
Thau, David. (2015). Google Earth Engine: Democratizing Global Geospatial Analysis with Cloud Computing.3 indexed citations
Giri, Chandra, Jordan Long, Sawaid Abbas, et al.. (2014). Distribution and dynamics of mangrove forests of South Asia. Journal of Environmental Management. 148. 101–111.302 indexed citations breakdown →
13.
Hansen, Matthew C., Peter Potapov, Rebecca Moore, et al.. (2013). High-Resolution Global Maps of 21st-Century Forest Cover Change. Science. 342(6160). 850–853.7959 indexed citations breakdown →
14.
Hansen, Matthew C., Peter Potapov, Rebecca Moore, et al.. (2013). Supplementary Materials for High-Resolution Global Maps of 21st-Century Forest Cover Change.8 indexed citations
Thau, David, et al.. (2009). CleanTax: A Framework for Reasoning about Taxonomies. National Conference on Artificial Intelligence. 49–50.2 indexed citations
Bowers, Shawn, David Thau, Rich Williams, & Bertram Ludaescher. (2005). Data procurement for enabling scientific workflows: On exploring inter-ant parasitism. Lecture notes in computer science. 3372. 57–63.1 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.