Timo P. Pitkänen

492 total citations
26 papers, 368 citations indexed

About

Timo P. Pitkänen is a scholar working on Environmental Engineering, Ecology and Global and Planetary Change. According to data from OpenAlex, Timo P. Pitkänen has authored 26 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Environmental Engineering, 11 papers in Ecology and 11 papers in Global and Planetary Change. Recurrent topics in Timo P. Pitkänen's work include Remote Sensing and LiDAR Applications (15 papers), Forest ecology and management (7 papers) and Forest Ecology and Biodiversity Studies (7 papers). Timo P. Pitkänen is often cited by papers focused on Remote Sensing and LiDAR Applications (15 papers), Forest ecology and management (7 papers) and Forest Ecology and Biodiversity Studies (7 papers). Timo P. Pitkänen collaborates with scholars based in Finland and Sweden. Timo P. Pitkänen's co-authors include Pasi Raumonen, Laura Alakukku, Hannu Känkänen, Yrjö Salo, Sakari Tuominen, Niina Käyhkö, Annika Kangas, Elise Ketoja, Jaana Peippo and Mauritz Vestberg and has published in prestigious journals such as The Science of The Total Environment, Geoderma and Forest Ecology and Management.

In The Last Decade

Timo P. Pitkänen

24 papers receiving 347 citations

Peers

Timo P. Pitkänen

NLC

ECOLO

GPC

Yeong‐Mo Son South Korea

Thomas Paul New Zealand

Cristián R. Montes United States

Philippe Santenoise France

Douglas G. Pitt Canada

Sónia Pacheco Faias Portugal

Diego Giuliarelli Italy

Fernando Tun‐Dzul Mexico

Eduard Hochbichler Austria

Diana Laarmann Estonia

Yeong‐Mo Son South Korea

Timo P. Pitkänen

144 ×0.8

340 ×2.2

NLC

91 ×1.0

ECOLO

34 ×0.4

294 ×4.3

GPC

Citations per year, relative to Timo P. Pitkänen Timo P. Pitkänen (= 1×) peers Yeong‐Mo Son

Countries citing papers authored by Timo P. Pitkänen

Since Specialization

Citations

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

Fields of papers citing papers by Timo P. Pitkänen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timo P. Pitkänen. 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 Timo P. Pitkänen. The network helps show where Timo P. Pitkänen may publish in the future.

Co-authorship network of co-authors of Timo P. Pitkänen

This figure shows the co-authorship network connecting the top 25 collaborators of Timo P. Pitkänen. A scholar is included among the top collaborators of Timo P. Pitkänen 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 Timo P. Pitkänen. Timo P. Pitkänen 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

Pohjankukka, Jonne, Timo A. Räsänen, Timo P. Pitkänen, et al.. (2025). Digital mapping of peat thickness and extent in Finland using remote sensing and machine learning. Geoderma. 455. 117216–117216.

Rana, Parvez, et al.. (2024). Detecting Spatial Patterns of Peatland Greenhouse Gas Sinks and Sources with Geospatial Environmental and Remote Sensing Data. Environmental Management. 74(3). 461–478. 3 indexed citations

Pitkänen, Timo P., et al.. (2024). Automatized Sentinel-2 mosaicking for large area forest mapping. International Journal of Applied Earth Observation and Geoinformation. 127. 103659–103659. 6 indexed citations

Farahnakian, Fahimeh, et al.. (2023). CNN-based Boreal Peatland Fertility Classification from Sentinel-1 and Sentinel-2 Imagery. 1–7. 3 indexed citations

Hu, Man, et al.. (2021). A new method to estimate branch biomass from terrestrial laser scanning data by bridging tree structure models. Annals of Botany. 128(6). 737–752. 11 indexed citations

Pitkänen, Timo P., et al.. (2021). Using auxiliary data to rationalize smartphone-based pre-harvest forest mensuration. Forestry An International Journal of Forest Research. 95(2). 247–260. 3 indexed citations

Kangas, Annika, Helena M. Henttonen, Timo P. Pitkänen, Sakari Sarkkola, & Juha Heikkinen. (2020). Re-calibrating stem volume models – is there change in the tree trunk form from the 1970s to the 2010s in Finland?. Silva Fennica. 54(4). 11 indexed citations

Pitkänen, Timo P., et al.. (2020). Improving TLS-based stem volume estimates by field measurements. Computers and Electronics in Agriculture. 180. 105882–105882. 24 indexed citations

Pitkänen, Timo P., et al.. (2019). Errors related to the automatized satellite-based change detection of boreal forests in Finland. International Journal of Applied Earth Observation and Geoinformation. 86. 102011–102011. 14 indexed citations

10.

Korhonen, Panu, et al.. (2018). Grass growth models for estimating digestibility and dry matter yield of forage grasses in Finland. Jukuri (Natural Resources Institute Finland (Luke)). 5 indexed citations

11.

Tuominen, Sakari, et al.. (2017). Improving Finnish Multi-Source National Forest Inventory by 3D aerial imaging. Silva Fennica. 51(4). 27 indexed citations

12.

Pitkänen, Timo P. & Niina Käyhkö. (2017). Reducing classification error of grassland overgrowth by combing low-density lidar acquisitions and optical remote sensing data. ISPRS Journal of Photogrammetry and Remote Sensing. 130. 150–161. 8 indexed citations

13.

Pitkänen, Timo P., et al.. (2015). Landscape history improves detection of marginal habitats on semi-natural grasslands. The Science of The Total Environment. 539. 359–369. 6 indexed citations

14.

Pitkänen, Timo P., Helle Skånes, & Niina Käyhkö. (2015). Detecting subpixel deciduous components to complement traditional land cover classifications in Southwest Finland. International Journal of Applied Earth Observation and Geoinformation. 42. 97–105. 3 indexed citations

15.

Ruokolainen, Kalle, et al.. (2015). Similar understorey structure in spite of edaphic and floristic dissimilarity in Amazonian forests. Acta Amazonica. 45(4). 393–404. 6 indexed citations

16.

Pitkänen, Timo P., et al.. (2014). Assessing Restoration Potential of Semi-natural Grasslands by Landscape Change Trajectories. Environmental Management. 53(4). 739–756. 9 indexed citations

17.

Ketoja, Elise, et al.. (2011). In vitro maturation supplements affect developmental competence of bovine cumulus–oocyte complexes and embryo quality after vitrification. Cryobiology. 63(3). 245–255. 36 indexed citations

18.

Känkänen, Hannu, Laura Alakukku, Yrjö Salo, & Timo P. Pitkänen. (2010). Growth and yield of spring cereals during transition to zero tillage on clay soils. European Journal of Agronomy. 34(1). 35–45. 38 indexed citations

19.

Rinne, Marketta, et al.. (2010). Nurmiheinien ensimmäisen sadon sulavuuden ja sadon määrän mallit nurmirehuntuotannon hallintaan. Suomen Maataloustieteellisen Seuran Tiedote. 1–9. 2 indexed citations

20.

Vestberg, Mauritz, Sanna Kukkonen, Tuomo Tuovinen, et al.. (2009). Effects of cropping history and peat amendments on the quality of a silt soil cropped with strawberries. Applied Soil Ecology. 42(1). 37–47. 14 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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