Mikko Vastaranta

10.9k total citations · 4 hit papers
175 papers, 8.2k citations indexed

About

Mikko Vastaranta is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Insect Science. According to data from OpenAlex, Mikko Vastaranta has authored 175 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 158 papers in Environmental Engineering, 118 papers in Nature and Landscape Conservation and 92 papers in Insect Science. Recurrent topics in Mikko Vastaranta's work include Remote Sensing and LiDAR Applications (158 papers), Forest ecology and management (117 papers) and Forest Ecology and Biodiversity Studies (92 papers). Mikko Vastaranta is often cited by papers focused on Remote Sensing and LiDAR Applications (158 papers), Forest ecology and management (117 papers) and Forest Ecology and Biodiversity Studies (92 papers). Mikko Vastaranta collaborates with scholars based in Finland, Canada and United States. Mikko Vastaranta's co-authors include Juha Hyyppä, Markus Holopainen, Xiaowei Yu, Ville Kankare, Harri Kaartinen, Michael A. Wulder, Joanne C. White, Hannu Hyyppä, Nicholas C. Coops and Xinlian Liang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Mikko Vastaranta

163 papers receiving 7.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Terrestrial laser scanning in forest inventories

2016 627 citations Xinlian Liang, Ville Kankare et al. ISPRS Journal of Photogrammetry and Remote Sensing profile →
Remote Sensing Technologies for Enhancing Forest Inventories: A Review

2016 615 citations Joanne C. White, Michael A. Wulder et al. profile →
Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data

2013 606 citations Mikko Vastaranta, Markus Holopainen et al. Remote Sensing profile →
An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning

2012 400 citations Juha Hyyppä, Xiaowei Yu et al. Remote Sensing profile →

Peers

Mikko Vastaranta

NLC

ECOLO

GPC

Markus Holopainen Finland

Xiaowei Yu Finland

Terje Gobakken Norway

Harri Kaartinen Finland

Hannu Hyyppä Finland

Kim Calders Belgium

Matti Maltamo Finland

Antero Kukko Finland

Xinlian Liang Finland

Mathias Disney United Kingdom

Markus Holopainen Finland

Mikko Vastaranta

5.8k ×0.8

3.8k ×0.8

NLC

2.4k ×0.8

ECOLO

2.4k ×0.8

1.2k ×0.8

GPC

Citations per year, relative to Mikko Vastaranta Mikko Vastaranta (= 1×) peers Markus Holopainen

Countries citing papers authored by Mikko Vastaranta

Since Specialization

Citations

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

Fields of papers citing papers by Mikko Vastaranta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikko Vastaranta

This figure shows the co-authorship network connecting the top 25 collaborators of Mikko Vastaranta. A scholar is included among the top collaborators of Mikko Vastaranta 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 Mikko Vastaranta. Mikko Vastaranta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Junttila, Samuli, et al.. (2025). Quantifying the drivers of tree mortality: A case study from urban recreational boreal forest. Urban forestry & urban greening. 104. 128672–128672. 1 indexed citations

Yrttimaa, Tuomas, et al.. (2025). Capturing trends in forest structural complexity development using laser scanning techniques. Trees Forests and People. 21. 100954–100954.

Junttila, Samuli, et al.. (2025). Influence of bark beetle infestation on stem diameter dynamics. Trees Forests and People. 19. 100777–100777.

Junttila, Samuli, et al.. (2024). Significant increase in forest canopy mortality in boreal forests in Southeast Finland. Forest Ecology and Management. 565. 122020–122020. 8 indexed citations

Yrttimaa, Tuomas, Antero Kukko, Juha Hyyppä, et al.. (2024). Characterizing the competitive stress of individual trees using point clouds. Forest Ecology and Management. 572. 122305–122305. 2 indexed citations

Nummenmaa, Timo, Samuli Laato, P. L. Chambers, et al.. (2024). Employing Gamified Crowdsourced Close-Range Sensing in the Pursuit of a Digital Twin of the Earth. International Journal of Human-Computer Interaction. 41(8). 4668–4684. 4 indexed citations

Saarinen, Ninni, et al.. (2024). Quantifying fire-induced changes in ground vegetation using bitemporal terrestrial laser scanning. Silva Fennica. 58(3). 3 indexed citations

Laato, Samuli, et al.. (2024). Space Probe Retrieval: A LiDAR-Based Augmented Reality Game for Forest Data Collection. Trepo - Institutional Repository of Tampere University. 340–345.

Yrttimaa, Tuomas, Ville Kankare, Ville Luoma, et al.. (2023). A method for identifying and segmenting branches of Scots pine (Pinus sylvestris L.) trees using terrestrial laser scanning. Forestry An International Journal of Forest Research. 97(4). 531–545. 1 indexed citations

10.

Tanhuanpää, Topi, Mikko Vastaranta, Tuomas Yrttimaa, et al.. (2023). Evaluating Factors Impacting Fallen Tree Detection from Airborne Laser Scanning Point Clouds. Remote Sensing. 15(2). 382–382. 3 indexed citations

11.

Yrttimaa, Tuomas, Ville Kankare, Mikko Vastaranta, et al.. (2022). Assessing Structural Complexity of Individual Scots Pine Trees by Comparing Terrestrial Laser Scanning and Photogrammetric Point Clouds. Forests. 13(8). 1305–1305. 4 indexed citations

12.

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

13.

Yrttimaa, Tuomas, Ville Luoma, Ninni Saarinen, et al.. (2020). Structural Changes in Boreal Forests Can Be Quantified Using Terrestrial Laser Scanning. Remote Sensing. 12(17). 2672–2672. 18 indexed citations

14.

Yrttimaa, Tuomas, Ninni Saarinen, Ville Kankare, et al.. (2020). Multisensorial Close-Range Sensing Generates Benefits for Characterization of Managed Scots Pine (Pinus sylvestris L.) Stands. ISPRS International Journal of Geo-Information. 9(5). 309–309. 15 indexed citations

15.

Yrttimaa, Tuomas, Ninni Saarinen, Ville Kankare, et al.. (2020). Performance of terrestrial laser scanning to characterize managed Scots pine (Pinus sylvestris L.) stands is dependent on forest structural variation. ISPRS Journal of Photogrammetry and Remote Sensing. 168. 277–287. 24 indexed citations

16.

Saarinen, Ninni, Lauri Markelin, Tomi Rosnell, et al.. (2019). Characterizing Seedling Stands Using Leaf-Off and Leaf-On Photogrammetric Point Clouds and Hyperspectral Imagery Acquired from Unmanned Aerial Vehicle. Forests. 10(5). 415–415. 38 indexed citations

17.

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

18.

Yrttimaa, Tuomas, Ninni Saarinen, Ville Kankare, et al.. (2019). Investigating the Feasibility of Multi-Scan Terrestrial Laser Scanning to Characterize Tree Communities in Southern Boreal Forests. Remote Sensing. 11(12). 1423–1423. 30 indexed citations

19.

Vastaranta, Mikko, Xiaowei Yu, Ville Luoma, et al.. (2018). Aboveground forest biomass derived using multiple dates of WorldView-2 stereo-imagery: quantifying the improvement in estimation accuracy. International Journal of Remote Sensing. 39(23). 8766–8783. 19 indexed citations

20.

Vastaranta, Mikko. (2012). Forest mapping and monitoring using active 3D remote sensing. Dissertationes Forestales. 2012(144). 11 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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