Jiri Pyörälä

2.2k total citations · 1 hit paper
24 papers, 1.4k citations indexed

About

Jiri Pyörälä is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Insect Science. According to data from OpenAlex, Jiri Pyörälä has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Environmental Engineering, 18 papers in Nature and Landscape Conservation and 17 papers in Insect Science. Recurrent topics in Jiri Pyörälä's work include Remote Sensing and LiDAR Applications (23 papers), Forest ecology and management (18 papers) and Forest Ecology and Biodiversity Studies (17 papers). Jiri Pyörälä is often cited by papers focused on Remote Sensing and LiDAR Applications (23 papers), Forest ecology and management (18 papers) and Forest Ecology and Biodiversity Studies (17 papers). Jiri Pyörälä collaborates with scholars based in Finland, Canada and China. Jiri Pyörälä's co-authors include Xinlian Liang, Juha Hyyppä, Yunsheng Wang, Antero Kukko, Xiaowei Yu, Harri Kaartinen, Matti Lehtomäki, Anttoni Jaakkola, Markus Holopainen and Mikko Vastaranta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Jiri Pyörälä

23 papers receiving 1.3k citations

Hit Papers

Is field-measured tree height as reliable as believed – A... 2018 2026 2020 2023 2018 50 100 150 200

Peers

Jiri Pyörälä
Jiri Pyörälä
Citations per year, relative to Jiri Pyörälä Jiri Pyörälä (= 1×) peers Markus Holopainen

Countries citing papers authored by Jiri Pyörälä

Since Specialization
Citations

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

Fields of papers citing papers by Jiri Pyörälä

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiri Pyörälä

This figure shows the co-authorship network connecting the top 25 collaborators of Jiri Pyörälä. A scholar is included among the top collaborators of Jiri Pyörälä 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 Jiri Pyörälä. Jiri Pyörälä 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
1.
Vastaranta, Mikko, et al.. (2025). Identification and segmentation of branch whorls and sawlogs in standing timber using terrestrial laser scanning and deep learning. Forestry An International Journal of Forest Research. 98(5). 712–725.
2.
Yrttimaa, Tuomas, Samuli Junttila, Ville Luoma, et al.. (2023). Tree height and stem growth dynamics in a Scots pine dominated boreal forest. Trees Forests and People. 15. 100468–100468. 5 indexed citations
3.
Pyörälä, Jiri, Xiaowei Yu, Harri Kaartinen, et al.. (2023). Branch information extraction from Norway spruce using handheld laser scanning point clouds in Nordic forests. SHILAP Revista de lepidopterología. 9. 100040–100040. 15 indexed citations
4.
Kankare, Ville, Ninni Saarinen, Jiri Pyörälä, et al.. (2022). Assessing the Dependencies of Scots Pine (Pinus sylvestris L.) Structural Characteristics and Internal Wood Property Variation. Forests. 13(3). 397–397. 3 indexed citations
5.
Luoma, Ville, Tuomas Yrttimaa, Ville Kankare, et al.. (2021). Revealing Changes in the Stem Form and Volume Allocation in Diverse Boreal Forests Using Two-Date Terrestrial Laser Scanning. Forests. 12(7). 835–835. 16 indexed citations
6.
Wang, Yunsheng, Antero Kukko, Eric Hyyppä, et al.. (2021). Seamless integration of above- and under-canopy unmanned aerial vehicle laser scanning for forest investigation. Forest Ecosystems. 8(1). 35 indexed citations
7.
Pyörälä, Jiri, Riikka Piispanen, Sauli Valkonen, & Sven‐Olof Lundqvist. (2021). Tracheid dimensions of Norway spruce in uneven-aged stands. Canadian Journal of Forest Research. 52(3). 346–356. 2 indexed citations
8.
Hyyppä, Eric, Juha Hyyppä, Teemu Hakala, et al.. (2020). Under-canopy UAV laser scanning for accurate forest field measurements. ISPRS Journal of Photogrammetry and Remote Sensing. 164. 41–60. 135 indexed citations
9.
Dai, Wenxia, Bisheng Yang, Xinlian Liang, et al.. (2020). Fast registration of forest terrestrial laser scans using key points detected from crowns and stems. International Journal of Digital Earth. 13(12). 1585–1603. 15 indexed citations
10.
Hyyppä, Eric, Antero Kukko, Risto Kaijaluoto, et al.. (2020). Accurate derivation of stem curve and volume using backpack mobile laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing. 161. 246–262. 119 indexed citations
11.
Saarinen, Ninni, Ville Kankare, Jiri Pyörälä, et al.. (2019). Assessing the Effects of Sample Size on Parametrizing a Taper Curve Equation and the Resultant Stem-Volume Estimates. Forests. 10(10). 848–848. 12 indexed citations
12.
Pyörälä, Jiri, Ninni Saarinen, Ville Kankare, et al.. (2019). Variability of wood properties using airborne and terrestrial laser scanning. Remote Sensing of Environment. 235. 111474–111474. 46 indexed citations
13.
Liang, Xinlian, Yunsheng Wang, Jiri Pyörälä, et al.. (2019). Forest in situ observations using unmanned aerial vehicle as an alternative of terrestrial measurements. Forest Ecosystems. 6(1). 120 indexed citations
14.
Wang, Yunsheng, Jiri Pyörälä, Xinlian Liang, et al.. (2019). In situ biomass estimation at tree and plot levels: What did data record and what did algorithms derive from terrestrial and aerial point clouds in boreal forest. Remote Sensing of Environment. 232. 111309–111309. 75 indexed citations
15.
Pyörälä, Jiri, Ville Kankare, Xinlian Liang, et al.. (2018). Assessing log geometry and wood quality in standing timber using terrestrial laser-scanning point clouds. Forestry An International Journal of Forest Research. 92(2). 177–187. 19 indexed citations
16.
Pyörälä, Jiri, Xinlian Liang, Ninni Saarinen, et al.. (2018). Assessing branching structure for biomass and wood quality estimation using terrestrial laser scanning point clouds. Canadian Journal of Remote Sensing. 44(5). 462–475. 34 indexed citations
17.
Wang, Yunsheng, Matti Lehtomäki, Xinlian Liang, et al.. (2018). Is field-measured tree height as reliable as believed – A comparison study of tree height estimates from field measurement, airborne laser scanning and terrestrial laser scanning in a boreal forest. ISPRS Journal of Photogrammetry and Remote Sensing. 147. 132–145. 246 indexed citations breakdown →
18.
Pyörälä, Jiri, Ville Kankare, Mikko Vastaranta, et al.. (2017). Comparison of terrestrial laser scanning and X-ray scanning in measuring Scots pine (Pinus sylvestrisL.) branch structure. Scandinavian Journal of Forest Research. 33(3). 291–298. 22 indexed citations
19.
Saarinen, Ninni, Ville Kankare, Mikko Vastaranta, et al.. (2016). Feasibility of Terrestrial laser scanning for collecting stem volume information from single trees. ISPRS Journal of Photogrammetry and Remote Sensing. 123. 140–158. 114 indexed citations
20.
Kaartinen, Harri, Juha Hyyppä, Mikko Vastaranta, et al.. (2015). Accuracy of Kinematic Positioning Using Global Satellite Navigation Systems under Forest Canopies. Forests. 6(9). 3218–3236. 114 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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