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.
Dynamic World, Near real-time global 10 m land use land cover mapping
2022547 citationsMikaela Weisse, Fred Stolle et al.Scientific Dataprofile →
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 →
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 Fred Stolle'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 Fred Stolle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Stolle more than expected).
This network shows the impact of papers produced by Fred Stolle. 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 Fred Stolle. The network helps show where Fred Stolle may publish in the future.
Co-authorship network of co-authors of Fred Stolle
This figure shows the co-authorship network connecting the top 25 collaborators of Fred Stolle.
A scholar is included among the top collaborators of Fred Stolle 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 Fred Stolle. Fred Stolle is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zalles, Viviana, Nancy L. Harris, Fred Stolle, & Matthew C. Hansen. (2024). Forest definitions require a re-think. Communications Earth & Environment. 5(1).7 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 →
Stolle, Fred, et al.. (2020). A global method to identify trees inside and outside of forests with medium-resolution satellite imagery.. arXiv (Cornell University).2 indexed citations
8.
Reytar, Katie, et al.. (2020). The Challenge of Tracking How a Trillion Trees Grow.1 indexed citations
Mbile, P., et al.. (2013). Readiness for Reducing Emissions from Deforestation and forest Degradation under uncertain, national circumstances. International Journal of Ecology & Development. 24(1). 27–48.2 indexed citations
14.
Austin, Kemen, et al.. (2013). Indonesia’s forest moratorium: Impacts and next steps.20 indexed citations
15.
Austin, Kemen, et al.. (2012). Indonesia's Moratorium on New Forest Concessions.2 indexed citations
16.
Austin, Kemen, et al.. (2012). A seven-country assessment of national capacities to track forest carbon dioxide emissions and removals.1 indexed citations
17.
Tomich, Thomas P., Achmad M. Fagi, Hubert de Foresta, et al.. (2010). Indonesia's fires: smoke as a problem, smoke as a symptom.18 indexed citations
Stolle, Fred, et al.. (1999). Los incendios de 1997-1998 en Indonesia. Dialnet (Universidad de la Rioja). 35(3). 22–30.3 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.