Annika Kangas

4.4k citations
130 papers · 3.2k indexed · h-index 32
Topics
Forest Management and Policy (64 papers)Forest ecology and management (60 papers)Remote Sensing and LiDAR Applications (58 papers)

In The Last Decade

Annika Kangas

121 papers receiving 2.9k citations

Peers

Annika Kangas
Comparison fields: 5 of 123
  • Global and Planetary Change 1.7k
  • Environmental Engineering 1.3k
  • Nature and Landscape Conservation 1.3k
  • Ecology 495
  • Insect Science 495
Replace Joseph Buongiorno with:
Joseph Buongiorno United States
Jyrki Kangas Finland
Mikko Kurttila Finland
Harald Vacik Austria
Jos Van Orshoven Belgium
Davide Travaglini Italy
Timo Pukkala Finland
Luis Dı́az-Balteiro Spain
Pete Bettinger United States
José G. Borges Portugal
Annika Kangas relative to Joseph Buongiorno United States Joseph Buongiorno's profile →
Citations per field
00.5×2.5×
Joseph Buongiorno · 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
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2 2
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5 2
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8 18
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10 19
11
MELA2002 ja kuvauspuiden muodostamisen vaihtoehdot.
0
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Comparing K Nearest Neighbours Methods and Linear Regression – Is There Reason To Select One Over the Other?
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KRIGING WITH EXTERNAL DRIFT IN MODEL LOCALIZATION
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14 2
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Issues in forest inventories as an input to planning and decision processes.
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20 75

About Annika Kangas

Annika Kangas is a scholar working on Nature and Landscape Conservation, Environmental Engineering and Global and Planetary Change, having authored 130 papers that have together received 3.2k indexed citations. Recurring topics across this work include Forest Management and Policy (64 papers), Forest ecology and management (60 papers) and Remote Sensing and LiDAR Applications (58 papers). The work is most often cited by research in Nature and Landscape Conservation (1.3k citations), Environmental Engineering (1.3k citations) and Global and Planetary Change (1.7k citations). Annika Kangas has collaborated with scholars based in Finland, Norway and United States. Frequent co-authors include Jyrki Kangas, Matti Maltamo, Kyle Eyvindson, Jouni Pykäläinen, Sanna Laukkanen, Pekka Leskinen, Mikko Kurttila, Teppo Hujala, Miika Kajanus and Petteri Packalén. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and European Journal of Operational Research.

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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