Fred Stolle

3.7k total citations · 2 hit papers
44 papers, 1.9k citations indexed

About

Fred Stolle is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Fred Stolle has authored 44 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Global and Planetary Change, 17 papers in Ecology and 12 papers in Environmental Engineering. Recurrent topics in Fred Stolle's work include Remote Sensing in Agriculture (10 papers), Remote Sensing and LiDAR Applications (10 papers) and Oil Palm Production and Sustainability (6 papers). Fred Stolle is often cited by papers focused on Remote Sensing in Agriculture (10 papers), Remote Sensing and LiDAR Applications (10 papers) and Oil Palm Production and Sustainability (6 papers). Fred Stolle collaborates with scholars based in United States, Indonesia and Netherlands. Fred Stolle's co-authors include Rebecca Moore, Matthew C. Hansen, Peter Potapov, Alexandra Tyukavina, Thomas P. Tomich, Svetlana Turubanova, Mikaela Weisse, Tanya Birch, Éric F. Lambin and Joseph C. Mazzariello and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Fred Stolle

41 papers receiving 1.8k citations

Hit Papers

Dynamic World, Near real-time global 10 m land use land c... 2022 2026 2023 2024 2022 2022 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fred Stolle United States 17 1.2k 933 512 252 154 44 1.9k
Bernard Adusei United States 14 1.2k 1.0× 1.3k 1.4× 583 1.1× 280 1.1× 118 0.8× 21 2.1k
Kyle Pittman United States 9 1.0k 0.8× 1.0k 1.1× 461 0.9× 235 0.9× 95 0.6× 9 1.6k
Gerald Forkuor Burkina Faso 20 683 0.6× 789 0.8× 677 1.3× 238 0.9× 190 1.2× 34 1.7k
Kasturi Devi Kanniah Malaysia 27 1.5k 1.2× 1.1k 1.1× 750 1.5× 392 1.6× 193 1.3× 97 2.5k
João M. N. Silva Portugal 25 1.5k 1.2× 941 1.0× 457 0.9× 318 1.3× 177 1.1× 64 1.9k
René Beuchle Italy 20 1.2k 1.0× 910 1.0× 354 0.7× 141 0.6× 130 0.8× 33 1.9k
Sandra Eckert Switzerland 24 849 0.7× 745 0.8× 408 0.8× 193 0.8× 295 1.9× 59 2.0k
Damien Arvor France 24 1.0k 0.9× 983 1.1× 347 0.7× 353 1.4× 195 1.3× 74 2.0k
Izaya Numata United States 22 1.1k 0.9× 969 1.0× 466 0.9× 111 0.4× 130 0.8× 45 1.7k
Myroslava Lesiv Austria 25 1.1k 0.9× 896 1.0× 480 0.9× 370 1.5× 162 1.1× 55 2.0k

Countries citing papers authored by Fred Stolle

Since Specialization
Citations

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).

Fields of papers citing papers by Fred Stolle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Potapov, Peter, Alexandra Tyukavina, Svetlana Turubanova, et al.. (2025). Unprecedentedly high global forest disturbance due to fire in 2023 and 2024. Proceedings of the National Academy of Sciences. 122(30). e2505418122–e2505418122. 1 indexed citations
2.
Parente, Leandro, Lindsey Sloat, Vinícius Vieira Mesquita, et al.. (2024). Annual 30-m maps of global grassland class and extent (2000–2022) based on spatiotemporal Machine Learning. Scientific Data. 11(1). 1303–1303. 12 indexed citations
3.
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
4.
Yeo, Samantha, Maya Almaraz, Damien Beillouin, et al.. (2023). Priority science can accelerate agroforestry as a natural climate solution. Nature Climate Change. 13(11). 1179–1190. 50 indexed citations
5.
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 →
6.
Reiche, Johannes, Adugna Mullissa, Bart Slagter, et al.. (2021). Forest disturbance alerts for the Congo Basin using Sentinel-1. Environmental Research Letters. 16(2). 24005–24005. 127 indexed citations
7.
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
9.
Stolle, Fred, et al.. (2020). A global method to identify trees outside of closed-canopy forests with medium-resolution satellite imagery. International Journal of Remote Sensing. 42(5). 1713–1737. 14 indexed citations
10.
Austin, Kemen, Nancy L. Harris, Arief Wijaya, et al.. (2018). A review of land-based greenhouse gas flux estimates in Indonesia. Environmental Research Letters. 13(5). 55003–55003. 14 indexed citations
11.
Hansen, Matthew C., Alexander Krylov, Alexandra Tyukavina, et al.. (2016). Humid tropical forest disturbance alerts using Landsat data. Environmental Research Letters. 11(3). 34008–34008. 210 indexed citations
12.
Austin, Kemen, P. S. Kasibhatla, Dean L. Urban, Fred Stolle, & Jeffrey R. Vincent. (2015). Reconciling Oil Palm Expansion and Climate Change Mitigation in Kalimantan, Indonesia. PLoS ONE. 10(5). e0127963–e0127963. 52 indexed citations
13.
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
18.
Stolle, Fred, et al.. (2004). Evaluation of remote sensing-based active fire datasets in Indonesia. International Journal of Remote Sensing. 25(2). 471–479. 24 indexed citations
19.
Suyanto, S., et al.. (2000). The Underlying causes and impacts of fires in South-east Asia: Site 2. Menggala, Lampung Province, Indonesia. Center for International Forestry Research (CIFOR) eBooks. 6 indexed citations
20.
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.

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