Annika Kangas

1.6k citations
64 papers · 1.3k indexed · h-index 21
Topics
Remote Sensing and LiDAR Applications (39 papers)Forest ecology and management (35 papers)Forest Management and Policy (24 papers)

In The Last Decade

Annika Kangas

61 papers receiving 1.1k citations

Peers

Annika Kangas
Comparison fields: 5 of 94
  • Environmental Engineering 828
  • Nature and Landscape Conservation 785
  • Global and Planetary Change 527
  • Insect Science 285
  • Ecology 216
Replace Arne Nothdurft with:
Arne Nothdurft Austria
Chris J. Cieszewski United States
Zhongke Feng China
Daniel Mandallaz Switzerland
Marco A. Contreras United States
Tero Heinonen Finland
Ninni Saarinen Finland
Brian F. Walters United States
Robert E. Froese United States
Midhun Mohan United States
Annika Kangas relative to Arne Nothdurft Austria Arne Nothdurft's profile →
Citations per field
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Arne Nothdurft · 1×
Citations per year

Countries citing papers authored by Annika Kangas

Since Specialization
Citations

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

Fields of papers citing papers by Annika Kangas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annika Kangas

This figure shows the co-authorship network connecting the top 25 collaborators of Annika Kangas. A scholar is included among the top collaborators of Annika Kangas 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 Annika Kangas. Annika Kangas 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
#WorkIndexed citations
1 0
2 3
3 6
4 3
5 10
6
Application of non-parametric kernel regression and nearest-neighbor regression for generalizing sample tree information
0
7 24
8 16
9 32
10 14
11 11
12 17
13 17
14 15
15
Extending and improving methods for operational stand-wise forest inventories utilizing multi-resolution airborne laser scanner data
7
16 42
17 22
18 52
19 53
20 39

About Annika Kangas

Annika Kangas is a scholar working on Nature and Landscape Conservation, Environmental Engineering and Global and Planetary Change, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (39 papers), Forest ecology and management (35 papers) and Forest Management and Policy (24 papers). The work is most often cited by research in Nature and Landscape Conservation (785 citations), Environmental Engineering (828 citations) and Global and Planetary Change (527 citations). Annika Kangas has collaborated with scholars based in Finland, Norway and United States. Frequent co-authors include Matti Maltamo, Jyrki Kangas, Mikko Kurttila, Lauri Mehtätalo, Janne Uuttera, Jussi Saramäki, Minna Räty, Kari Korhonen, Susanna Sironen and Kyle Eyvindson. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and International 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.

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