Tuomas Yrttimaa

651 total citations
38 papers, 381 citations indexed

About

Tuomas Yrttimaa is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Insect Science. According to data from OpenAlex, Tuomas Yrttimaa has authored 38 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Environmental Engineering, 28 papers in Nature and Landscape Conservation and 21 papers in Insect Science. Recurrent topics in Tuomas Yrttimaa's work include Remote Sensing and LiDAR Applications (35 papers), Forest ecology and management (28 papers) and Forest Ecology and Biodiversity Studies (21 papers). Tuomas Yrttimaa is often cited by papers focused on Remote Sensing and LiDAR Applications (35 papers), Forest ecology and management (28 papers) and Forest Ecology and Biodiversity Studies (21 papers). Tuomas Yrttimaa collaborates with scholars based in Finland, Canada and Belgium. Tuomas Yrttimaa's co-authors include Mikko Vastaranta, Ninni Saarinen, Ville Kankare, Juha Hyyppä, Markus Holopainen, Ville Luoma, Samuli Junttila, Jari Hynynen, Saija Huuskonen and Xinlian Liang and has published in prestigious journals such as Remote Sensing of Environment, Frontiers in Plant Science and International Journal of Remote Sensing.

In The Last Decade

Tuomas Yrttimaa

30 papers receiving 357 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tuomas Yrttimaa Finland 13 285 240 148 95 94 38 381
Daniel de Almeida Papa Brazil 7 323 1.1× 178 0.7× 81 0.5× 207 2.2× 122 1.3× 14 441
Nian-Wei Ku United States 6 332 1.2× 220 0.9× 108 0.7× 181 1.9× 88 0.9× 9 393
Hudson Franklin Pessoa Veras Brazil 6 324 1.1× 118 0.5× 91 0.6× 198 2.1× 60 0.6× 13 391
Russell Turner Australia 12 240 0.8× 155 0.6× 85 0.6× 174 1.8× 85 0.9× 17 352
Alexandre Piboule France 9 188 0.7× 272 1.1× 96 0.6× 107 1.1× 144 1.5× 15 379
Daniel Kükenbrink Switzerland 14 516 1.8× 371 1.5× 215 1.5× 212 2.2× 163 1.7× 21 627
Jan Hackenberg Germany 5 534 1.9× 461 1.9× 194 1.3× 166 1.7× 150 1.6× 5 611
Diogo Nepomuceno Cosenza Brazil 11 269 0.9× 165 0.7× 89 0.6× 122 1.3× 58 0.6× 24 334
Louise Terryn Belgium 7 545 1.9× 403 1.7× 177 1.2× 216 2.3× 152 1.6× 23 644
Stéphane Momo Takoudjou Cameroon 8 388 1.4× 339 1.4× 109 0.7× 157 1.7× 119 1.3× 14 476

Countries citing papers authored by Tuomas Yrttimaa

Since Specialization
Citations

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

Fields of papers citing papers by Tuomas Yrttimaa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tuomas Yrttimaa

This figure shows the co-authorship network connecting the top 25 collaborators of Tuomas Yrttimaa. A scholar is included among the top collaborators of Tuomas Yrttimaa 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 Tuomas Yrttimaa. Tuomas Yrttimaa 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.
Yrttimaa, Tuomas, et al.. (2025). Capturing trends in forest structural complexity development using laser scanning techniques. Trees Forests and People. 21. 100954–100954.
2.
Junttila, Samuli, et al.. (2025). Influence of bark beetle infestation on stem diameter dynamics. Trees Forests and People. 19. 100777–100777.
3.
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
4.
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
5.
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
6.
Saarinen, Ninni, et al.. (2024). Quantifying fire-induced changes in ground vegetation using bitemporal terrestrial laser scanning. Silva Fennica. 58(3). 3 indexed citations
7.
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.
8.
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
9.
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
10.
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
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.
Saarinen, Ninni, Kim Calders, Ville Kankare, et al.. (2021). Understanding 3D structural complexity of individual Scots pine trees with different management history. Ecology and Evolution. 11(6). 2561–2572. 25 indexed citations
14.
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
15.
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
16.
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
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.
Yrttimaa, Tuomas, Ninni Saarinen, Ville Luoma, et al.. (2019). Detecting and characterizing downed dead wood using terrestrial laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing. 151. 76–90. 30 indexed citations
20.
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

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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