Matt Hansen

4.6k total citations · 2 hit papers
9 papers, 1.4k citations indexed

About

Matt Hansen is a scholar working on Environmental Engineering, Global and Planetary Change and Nature and Landscape Conservation. According to data from OpenAlex, Matt Hansen has authored 9 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Environmental Engineering, 4 papers in Global and Planetary Change and 3 papers in Nature and Landscape Conservation. Recurrent topics in Matt Hansen's work include Forest ecology and management (3 papers), Remote Sensing and LiDAR Applications (3 papers) and Remote Sensing in Agriculture (3 papers). Matt Hansen is often cited by papers focused on Forest ecology and management (3 papers), Remote Sensing and LiDAR Applications (3 papers) and Remote Sensing in Agriculture (3 papers). Matt Hansen collaborates with scholars based in United States, Australia and Austria. Matt Hansen's co-authors include David P. Roy, Feng Gao, Junchang Ju, P. Lewis, Crystal Schaaf, Erik Lindquist, Ronaldo Serôa da Motta, Maria DiGiano, Laura L. Hess and Oswaldo de Carvalho and has published in prestigious journals such as Science, Remote Sensing of Environment and Geophysical Research Letters.

In The Last Decade

Matt Hansen

8 papers receiving 1.3k citations

Hit Papers

Slowing Amazon deforestation through public policy and in... 2008 2026 2014 2020 2014 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matt Hansen United States 5 817 565 283 190 189 9 1.4k
Jordan Graesser United States 15 738 0.9× 376 0.7× 158 0.6× 93 0.5× 139 0.7× 24 1.2k
Nancy Thomas United States 11 1.3k 1.5× 1.1k 2.0× 615 2.2× 204 1.1× 288 1.5× 13 2.0k
Anthony M. Filippi United States 18 551 0.7× 435 0.8× 248 0.9× 80 0.4× 196 1.0× 40 1.2k
Sandra Eckert Switzerland 24 849 1.0× 745 1.3× 408 1.4× 89 0.5× 110 0.6× 59 2.0k
Erika Romijn Netherlands 8 1.1k 1.3× 534 0.9× 362 1.3× 239 1.3× 38 0.2× 12 1.6k
René Beuchle Italy 20 1.2k 1.5× 910 1.6× 354 1.3× 114 0.6× 164 0.9× 33 1.9k
Matthias K. B. Lüdeke Germany 22 785 1.0× 301 0.5× 203 0.7× 143 0.8× 104 0.6× 45 1.5k
Natasha Ribeiro Mozambique 24 876 1.1× 518 0.9× 358 1.3× 90 0.5× 37 0.2× 82 1.6k
Viviana Zalles United States 9 993 1.2× 651 1.2× 283 1.0× 69 0.4× 45 0.2× 15 1.7k
A. C. Coutinho Brazil 13 545 0.7× 557 1.0× 202 0.7× 55 0.3× 108 0.6× 33 1.0k

Countries citing papers authored by Matt Hansen

Since Specialization
Citations

This map shows the geographic impact of Matt Hansen'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 Matt Hansen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Hansen more than expected).

Fields of papers citing papers by Matt Hansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matt Hansen. 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 Matt Hansen. The network helps show where Matt Hansen may publish in the future.

Co-authorship network of co-authors of Matt Hansen

This figure shows the co-authorship network connecting the top 25 collaborators of Matt Hansen. A scholar is included among the top collaborators of Matt Hansen 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 Matt Hansen. Matt Hansen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Hansen, Andrew J., Kevin Barnett, Patrick Jantz, et al.. (2019). Global humid tropics forest structural condition and forest structural integrity maps. Scientific Data. 6(1). 232–232. 48 indexed citations
2.
Sayre, Roger & Matt Hansen. (2017). Ecosystem extent and fragmentation. 60–66. 1 indexed citations
3.
Sizer, Nigel, Rachael Petersen, James H. Anderson, & Matt Hansen. (2015). Tree Cover Loss Spikes in Russia and Canada, Remains High Globally. 2 indexed citations
4.
Petersen, Rachael, Nigel Sizer, Matt Hansen, & Peter Potapov. (2015). Satellites Uncover 5 Surprising Hotspots for Tree Cover Loss. 4 indexed citations
5.
Nepstad, Daniel C., David McGrath, Claudia Stickler, et al.. (2014). Slowing Amazon deforestation through public policy and interventions in beef and soy supply chains. Science. 344(6188). 1118–1123. 783 indexed citations breakdown →
6.
Sizer, Nigel & Matt Hansen. (2013). New High-Resolution Forest Maps Reveal World Loses 50 Soccer Fields of Trees Per Minute. 1 indexed citations
7.
Fritz, Steffen, Liangzhi You, A. Bun, et al.. (2011). Cropland for sub-Saharan Africa: A synergistic approach using five land cover data sets. Geophysical Research Letters. 38(4). n/a–n/a. 90 indexed citations
8.
Roy, David P., Junchang Ju, P. Lewis, et al.. (2008). Multi-temporal MODIS–Landsat data fusion for relative radiometric normalization, gap filling, and prediction of Landsat data. Remote Sensing of Environment. 112(6). 3112–3130. 440 indexed citations breakdown →
9.
Hansen, Matt. (2003). A Cooler Weld. Mechanical Engineering. 125(3). D10–D16. 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.

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