Mait Lang
Impact in
- Environmental Engineering top 1%
- Remote Sensing and LiDAR Applications
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- Forest ecology and management
Papers in
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- Remote Sensing and LiDAR Applications 60
- Ecology 49
- Remote Sensing in Agriculture 46
- Co-authors
- Andres Kuusk (27 shared papers)Tiit Nilson (20 shared papers)Joel Kuusk (14 shared papers)Jan Písek (13 shared papers)Matti Mõttus (3 shared papers)Miina Rautiainen (4 shared papers)Lauri Korhonen (4 shared papers)Mathias Neumann (6 shared papers)
In The Last Decade
Mait Lang
82 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 74
- Environmental Engineering 723
- Nature and Landscape Conservation 435
- Ecology 804
- Global and Planetary Change 664
- Ecological Modeling 96
Countries citing papers authored by Mait Lang
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
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-authors
The 25 scholars most cited alongside Mait Lang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 105 | |
| 2 | 2010 | 67 | |
| 3 | 2009 | 59 | |
| 4 | 2008 | 52 | |
| 5 | 2009 | 52 | |
| 6 | 2021 | 50 | |
| 7 | 2016 | 49 | |
| 8 | 2022 | 44 | |
| 9 | 2017 | 42 | |
| 10 | 2004 | 38 | |
| 11 | 2012 | 36 | |
| 12 | 2016 | 35 | |
| 13 | 2006 | 32 | |
| 14 | 2022 | 31 | |
| 15 | 1999 | 31 | |
| 16 | 2003 | 30 | |
| 17 | 2019 | 30 | |
| 18 | 2018 | 28 | |
| 19 | 2014 | 28 | |
| 20 | 2017 | 27 |
About Mait Lang
Mait Lang is a scholar working on Environmental Engineering, Ecology, Nature and Landscape Conservation, Global and Planetary Change and Insect Science, having authored 84 papers that have together received 1.3k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (60 papers), Remote Sensing in Agriculture (46 papers), Forest ecology and management (39 papers), Forest Ecology and Biodiversity Studies (15 papers), Plant Water Relations and Carbon Dynamics (13 papers), Land Use and Ecosystem Services (12 papers), Species Distribution and Climate Change (10 papers) and Forest Management and Policy (6 papers). The work is most often cited by research in Environmental Engineering (723 citations), Nature and Landscape Conservation (435 citations), Ecology (804 citations), Global and Planetary Change (664 citations) and Ecological Modeling (96 citations). Mait Lang has collaborated with scholars based in Estonia, Finland and Austria. Frequent co-authors include Andres Kuusk, Tiit Nilson, Joel Kuusk, Jan Písek, Matti Mõttus, Miina Rautiainen, Lauri Korhonen, Mathias Neumann, Tanja Sanders and M. Sulev. Their work appears in journals such as Remote Sensing of Environment, Agricultural and Forest Meteorology, Remote Sensing, Forestry Studies / Metsanduslikud Uurimused and European Journal of Remote Sensing.
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.