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.
High-Resolution Global Maps of 21st-Century Forest Cover Change
20138.0k citationsMatthew C. Hansen, Peter Potapov et al.Scienceprofile →
Classifying drivers of global forest loss
20181.4k citationsNancy L. Harris, Alexandra Tyukavina et al.Scienceprofile →
Global land change from 1982 to 2016
20181.4k citationsXiao‐Peng Song, Matthew C. Hansen et al.profile →
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 twenty-first century forest carbon fluxes
2021675 citationsNancy L. Harris, Matthew C. Hansen et al.profile →
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 →
Congo Basin forest loss dominated by increasing smallholder clearing
2018216 citationsAlexandra Tyukavina, Matthew C. Hansen et al.Science Advancesprofile →
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 ·
hero ref
Countries citing papers authored by Alexandra Tyukavina
Since
Specialization
Citations
This map shows the geographic impact of Alexandra Tyukavina'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 Alexandra Tyukavina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandra Tyukavina more than expected).
Fields of papers citing papers by Alexandra Tyukavina
This network shows the impact of papers produced by Alexandra Tyukavina. 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 Alexandra Tyukavina. The network helps show where Alexandra Tyukavina may publish in the future.
Co-authorship network of co-authors of Alexandra Tyukavina
This figure shows the co-authorship network connecting the top 25 collaborators of Alexandra Tyukavina.
A scholar is included among the top collaborators of Alexandra Tyukavina 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 Alexandra Tyukavina. Alexandra Tyukavina is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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 →
5.
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 →
6.
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 →
7.
Potapov, Peter, et al.. (2020). Degradation as a catalyst for primary forest conversion in Indonesia. AGU Fall Meeting Abstracts. 2020.1 indexed citations
Song, Xiang, Matthew C. Hansen, S. V. Stehman, et al.. (2018). A satellite data record of annual global land cover and long-term change 1982-2016. AGUFM. 2018.2 indexed citations
13.
Wijaya, Arief, Peter Potapov, Alexandra Tyukavina, et al.. (2018). Evaluating land use change trajectories following forest loss in Indonesia. AGU Fall Meeting Abstracts. 2018.
14.
Tyukavina, Alexandra, Matthew C. Hansen, Peter Potapov, et al.. (2018). Congo Basin forest loss dominated by increasing smallholder clearing. Science Advances. 4(11). eaat2993–eaat2993.216 indexed citations breakdown →
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 →
19.
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
20.
Tyukavina, Alexandra, et al.. (2010). MAPPING AND INTERPRETING GLACIER CHANGES IN SEVERNAYA ZEMLYA WITH THE AID OF DIFFERENTIAL INTERFEROMETRY AND ALTIMETRY. ESASP. 677. 32.5 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.