Mait Lang

3.1k total citations
82 papers, 1.2k citations indexed

About

Mait Lang is a scholar working on Environmental Engineering, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Mait Lang has authored 82 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Environmental Engineering, 48 papers in Ecology and 40 papers in Nature and Landscape Conservation. Recurrent topics in Mait Lang's work include Remote Sensing and LiDAR Applications (59 papers), Remote Sensing in Agriculture (45 papers) and Forest ecology and management (39 papers). Mait Lang is often cited by papers focused on Remote Sensing and LiDAR Applications (59 papers), Remote Sensing in Agriculture (45 papers) and Forest ecology and management (39 papers). Mait Lang collaborates with scholars based in Estonia, Finland and Austria. Mait Lang's co-authors include Andres Kuusk, Tiit Nilson, Joel Kuusk, Jan Písek, Matti Mõttus, Miina Rautiainen, Lauri Korhonen, Mathias Neumann, Tanja Sanders and Alena Dostálová and has published in prestigious journals such as Remote Sensing of Environment, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Mait Lang

78 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mait Lang Estonia 22 738 676 625 422 196 82 1.2k
Qin Ma China 25 702 1.0× 946 1.4× 646 1.0× 458 1.1× 279 1.4× 57 1.7k
William Woodgate Australia 18 598 0.8× 563 0.8× 663 1.1× 325 0.8× 230 1.2× 53 1.2k
J. Rosette United Kingdom 17 871 1.2× 1.1k 1.7× 564 0.9× 555 1.3× 91 0.5× 54 1.6k
Zhiqiang Yang United States 20 766 1.0× 584 0.9× 829 1.3× 501 1.2× 95 0.5× 44 1.5k
Anu Swatantran United States 16 570 0.8× 710 1.1× 360 0.6× 389 0.9× 81 0.4× 29 1.1k
Nicola Puletti Italy 23 809 1.1× 860 1.3× 698 1.1× 588 1.4× 227 1.2× 83 1.6k
Aarne Hovi Finland 17 608 0.8× 646 1.0× 293 0.5× 323 0.8× 125 0.6× 55 962
Jean‐Luc Widlowski Italy 18 1.1k 1.5× 1.2k 1.7× 877 1.4× 498 1.2× 246 1.3× 29 1.8k
Juan Carlos Pinilla Suárez United Kingdom 20 729 1.0× 1.1k 1.6× 388 0.6× 691 1.6× 113 0.6× 74 1.5k
Rachel Gaulton United Kingdom 24 1.1k 1.4× 1.2k 1.8× 549 0.9× 573 1.4× 277 1.4× 49 1.9k

Countries citing papers authored by Mait Lang

Since Specialization
Citations

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

Fields of papers citing papers by Mait Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mait Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Mait Lang. A scholar is included among the top collaborators of Mait Lang 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 Mait Lang. Mait Lang 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
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Lang, Mait, et al.. (2024). Simple calibration of fisheye lenses for hemispherical photography of the forest canopy. Agricultural and Forest Meteorology. 352. 110020–110020. 3 indexed citations
3.
Bürkner, Paul‐Christian, Tanja Sanders, Mathias Neumann, et al.. (2022). Long‐term forest monitoring reveals constant mortality rise in European forests. Plant Biology. 24(7). 1108–1119. 41 indexed citations
4.
Sanders, Tanja, et al.. (2022). European-wide forest monitoring substantiate the neccessity for a joint conservation strategy to rescue European ash species (Fraxinus spp.). Scientific Reports. 12(1). 4764–4764. 29 indexed citations
5.
Lang, Mait, et al.. (2021). How Can Remote Sensing Reduce Required Human Intervention in Robotic Forest Regeneration. Forests. 12(12). 1802–1802. 1 indexed citations
6.
Berisford, Daniel, et al.. (2021). Erosion of Penitentes Under Experimental Conditions Relevant to Ice‐Covered Airless Worlds. Journal of Geophysical Research Planets. 126(10). 7 indexed citations
7.
Lang, Mait, et al.. (2021). Horizontal Visibility in Forests. Remote Sensing. 13(21). 4455–4455. 3 indexed citations
8.
Lang, Mait, et al.. (2020). Aerolaserskaneerimise kasutamine metsakorralduse alusena. Forestry Studies / Metsanduslikud Uurimused. 73(1). 136–144. 1 indexed citations
9.
Lang, Mait & Jan Písek. (2019). Tracking the long-term structure changes of a mature deciduous broadleaf forest stand using digital hemispherical photography. Forestry Studies / Metsanduslikud Uurimused. 70(1). 80–87. 2 indexed citations
10.
Lang, Mait, et al.. (2018). Assessment of forest thinning intensity using sparse point clouds from repeated airborne lidar measurements. Forestry Studies / Metsanduslikud Uurimused. 68(1). 40–50. 3 indexed citations
11.
Neumann, Mathias, Adam Moreno, Volker Mues, et al.. (2016). Creating a Regional MODIS Satellite-Driven Net Primary Production Dataset for European Forests. Remote Sensing. 8(7). 554–554. 47 indexed citations
12.
Lang, Mait, et al.. (2016). A validation of coarse scale global vegetation height map for biomass estimation in hemiboreal forests in Estonia.. BALTIC FORESTRY. 22(2). 275–282. 6 indexed citations
13.
Lang, Mait, Ants Vain, R.G.H. Bunce, et al.. (2015). Extrapolation of in situ data from 1-km squares to adjacent squares using remote sensed imagery and airborne lidar data for the assessment of habitat diversity and extent. Environmental Monitoring and Assessment. 187(3). 76–76. 5 indexed citations
14.
Lang, Mait, et al.. (2013). A simple model to estimate forest canopy base height from airborne lidar data.. Forestry Studies / Metsanduslikud Uurimused. 58. 46–56. 7 indexed citations
15.
Lang, Mait, et al.. (2013). Assessment of NTSG MODIS NPP product for forests in Kurzeme region, Latvia. Forestry Studies / Metsanduslikud Uurimused. 58. 26–36. 1 indexed citations
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Lang, Mait, et al.. (2012). Estimation of main forest inventory variables from spectral and airborne lidar data in Aegviidu test site, Estonia.. Forestry Studies / Metsanduslikud Uurimused. 56. 27–41. 12 indexed citations
18.
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Kuusk, Andres, Mait Lang, & Tiit Nilson. (2005). Forest Test Site at Jarvselja, Estonia. ESA Special Publication. 593. 18. 5 indexed citations
20.
Nilson, Tiit, et al.. (2003). Forest Reflectance Modeling: Theoretical Aspects and Applications. AMBIO. 32(8). 535–541. 28 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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