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.
Mapping global forest canopy height through integration of GEDI and Landsat data
2020789 citationsPeter Potapov, Andrés Hernández-Serna et al.Remote Sensing of Environmentprofile →
Global maps of cropland extent and change show accelerated cropland expansion in the twenty-first century
2021564 citationsPeter Potapov, Svetlana Turubanova et al.Nature Foodprofile →
Mapping and sampling to characterize global inland water dynamics from 1999 to 2018 with full Landsat time-series
2020330 citationsAmy Pickens, Matthew C. Hansen et al.Remote Sensing of Environmentprofile →
The Global 2000-2020 Land Cover and Land Use Change Dataset Derived From the Landsat Archive: First Results
2022287 citationsPeter Potapov, Matthew C. Hansen et al.SHILAP Revista de lepidopterologíaprofile →
Massive soybean expansion in South America since 2000 and implications for conservation
2021277 citationsXiao‐Peng Song, Matthew C. Hansen et al.Nature Sustainabilityprofile →
Global Trends of Forest Loss Due to Fire From 2001 to 2019
2022187 citationsAlexandra Tyukavina, Peter Potapov et al.SHILAP Revista de lepidopterologíaprofile →
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 Amy Pickens'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 Amy Pickens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Pickens more than expected).
This network shows the impact of papers produced by Amy Pickens. 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 Amy Pickens. The network helps show where Amy Pickens may publish in the future.
Co-authorship network of co-authors of Amy Pickens
This figure shows the co-authorship network connecting the top 25 collaborators of Amy Pickens.
A scholar is included among the top collaborators of Amy Pickens 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 Amy Pickens. Amy Pickens 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.
Pickens, Amy, Matthew C. Hansen, Zhen Song, et al.. (2025). Rapid monitoring of global land change. Nature Communications. 16(1). 8948–8948.2 indexed citations
Potapov, Peter, Matthew C. Hansen, Amy Pickens, et al.. (2022). The Global 2000-2020 Land Cover and Land Use Change Dataset Derived From the Landsat Archive: First Results. SHILAP Revista de lepidopterología. 3.287 indexed citations breakdown →
Song, Xiao‐Peng, Matthew C. Hansen, Peter Potapov, et al.. (2021). Massive soybean expansion in South America since 2000 and implications for conservation. Nature Sustainability. 4(9). 784–792.277 indexed citations breakdown →
8.
Potapov, Peter, Svetlana Turubanova, Matthew C. Hansen, et al.. (2021). Global maps of cropland extent and change show accelerated cropland expansion in the twenty-first century. Nature Food. 3(1). 19–28.564 indexed citations breakdown →
Pickens, Amy, et al.. (2020). Mapping and sampling to characterize global inland water dynamics from 1999 to 2018 with full Landsat time-series. Remote Sensing of Environment. 243. 111792–111792.330 indexed citations breakdown →
15.
Potapov, Peter, Andrés Hernández-Serna, Alexandra Tyukavina, et al.. (2020). Mapping global forest canopy height through integration of GEDI and Landsat data. Remote Sensing of Environment. 253. 112165–112165.789 indexed citations breakdown →
Amani, Pegah, et al.. (2018). Mapping human settlements and population density in the Democratic Republic of Congo using Landsat data. AGU Fall Meeting Abstracts. 2018.
Potapov, Peter, Bernard Adusei, LeeAnn King, et al.. (2016). National-scale crop type mapping and area estimation using multi-resolution remote sensing and field survey. AGU Fall Meeting Abstracts. 2016.2 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.