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.
Primary forest cover loss in Indonesia over 2000–2012
2014714 citationsBelinda Arunarwati Margono, Peter Potapov et al.Nature Climate Changeprofile →
Humid tropical forest clearing from 2000 to 2005 quantified by using multitemporal and multiresolution remotely sensed data
2008500 citationsMatthew C. Hansen, Stephen V. Stehman et al.Proceedings of the National Academy of Sciencesprofile →
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.
All Works
17 of 17 papers shown
1.
Reytar, Katie, et al.. (2019). Deforestation Threatens the Mekong, but New Trees Are Growing in Surprising Places.2 indexed citations
2.
Broich, Mark, Mirela G. Tulbure, Arwan Putra Wijaya, Mikaela Weisse, & Fred Stolle. (2017). Quantifying South East Asia's forest degradation using latest generation optical and radar satellite remote sensing. AGU Fall Meeting Abstracts. 2017.1 indexed citations
3.
Stolle, Fred, et al.. (2016). Forests Are in the Paris Agreement! Now What?.2 indexed citations
Margono, Belinda Arunarwati, Peter Potapov, Svetlana Turubanova, Fred Stolle, & Matthew C. Hansen. (2014). Primary forest cover loss in Indonesia over 2000–2012. Nature Climate Change. 4(8). 730–735.714 indexed citations breakdown →
6.
Austin, Kemen, et al.. (2014). Indonesia's Forest Moratorium.7 indexed citations
7.
Stolle, Fred, et al.. (2013). Building national forest and land-use information systems: Lessons from Cameroon, Indonesia and Peru.3 indexed citations
8.
Austin, Kemen, et al.. (2012). A new direction in climate compatible development: Indonesia’s Forest Moratorium.1 indexed citations
9.
Austin, Kemen, et al.. (2012). Indonesia’s moratorium on new forest concessions: Key findings and next steps.13 indexed citations
Hansen, Matthew C., Stephen V. Stehman, Peter Potapov, et al.. (2008). Humid tropical forest clearing from 2000 to 2005 quantified by using multitemporal and multiresolution remotely sensed data. Proceedings of the National Academy of Sciences. 105(27). 9439–9444.500 indexed citations breakdown →
14.
Stolle, Fred, et al.. (2008). Voices from the Congo Basin: Incorporating the perspectives of local stakeholders for improved REDD design.9 indexed citations
Tomich, Thomas P., Meine van Noordwijk, Suseno Budidarsono, et al.. (1998). Alternatives to slash-and-burn in Indonesia: summary report and synthesis of phase II.43 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.