Ville Luoma

1.3k total citations
30 papers, 601 citations indexed

About

Ville Luoma is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Insect Science. According to data from OpenAlex, Ville Luoma has authored 30 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Environmental Engineering, 22 papers in Nature and Landscape Conservation and 16 papers in Insect Science. Recurrent topics in Ville Luoma's work include Remote Sensing and LiDAR Applications (27 papers), Forest ecology and management (22 papers) and Forest Ecology and Biodiversity Studies (16 papers). Ville Luoma is often cited by papers focused on Remote Sensing and LiDAR Applications (27 papers), Forest ecology and management (22 papers) and Forest Ecology and Biodiversity Studies (16 papers). Ville Luoma collaborates with scholars based in Finland, Canada and Belgium. Ville Luoma's co-authors include Ninni Saarinen, Markus Holopainen, Juha Hyyppä, Mikko Vastaranta, Ville Kankare, Michael A. Wulder, Tuomas Yrttimaa, Antero Kukko, Topi Tanhuanpää and Harri Kaartinen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Plant Science and International Journal of Remote Sensing.

In The Last Decade

Ville Luoma

29 papers receiving 579 citations

Peers

Ville Luoma

NLC

ECOLO

GPC

Miro Demol Belgium

Louise Terryn Belgium

Marius Hauglin Norway

Jean-Pierre Renaud France

Timo Melkas Finland

Jan Hackenberg Germany

Anahita Khosravipour Netherlands

Daniel Kükenbrink Switzerland

Martin Krůček Czechia

Shruthi Srinivasan United States

Miro Demol Belgium

Ville Luoma

439 ×0.9

369 ×1.0

NLC

151 ×0.7

155 ×0.9

ECOLO

155 ×1.3

GPC

Citations per year, relative to Ville Luoma Ville Luoma (= 1×) peers Miro Demol

Countries citing papers authored by Ville Luoma

Since Specialization

Citations

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

Fields of papers citing papers by Ville Luoma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ville Luoma

This figure shows the co-authorship network connecting the top 25 collaborators of Ville Luoma. A scholar is included among the top collaborators of Ville Luoma 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 Ville Luoma. Ville Luoma 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

Luoma, Ville, et al.. (2025). Principles of radiation safety for anaesthetists. BJA Education. 25(5). 181–190.

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

Lehtomäki, Matti, Xiaowei Yu, Antero Kukko, et al.. (2023). Individual tree segmentation and species classification using high-density close-range multispectral laser scanning data. SHILAP Revista de lepidopterología. 9. 100039–100039. 30 indexed citations

Luoma, Ville, et al.. (2023). A New Approach for Feeding Multispectral Imagery into Convolutional Neural Networks Improved Classification of Seedlings. Remote Sensing. 15(21). 5233–5233. 2 indexed citations

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

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

Yrttimaa, Tuomas, Ville Luoma, Saija Huuskonen, et al.. (2022). Terrestrial Laser Scanning in Assessing the Effect of Different Thinning Treatments on the Competition of Scots Pine (Pinus sylvestris L.) Forests. Remote Sensing. 14(20). 5196–5196. 7 indexed citations

Luoma, Ville. (2022). Measuring tree growth using terrestrial laser scanning. Dissertationes Forestales. 1 indexed citations

Saarinen, Ninni, Ville Kankare, Saija Huuskonen, et al.. (2022). Effects of Stem Density on Crown Architecture of Scots Pine Trees. Frontiers in Plant Science. 13. 817792–817792. 9 indexed citations

10.

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

11.

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

12.

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

13.

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

14.

Luoma, Ville, Ninni Saarinen, Ville Kankare, et al.. (2019). Examining Changes in Stem Taper and Volume Growth with Two-Date 3D Point Clouds. Forests. 10(5). 382–382. 32 indexed citations

15.

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

16.

Saarinen, Ninni, Mikko Vastaranta, Roope Näsi, et al.. (2018). Assessing Biodiversity in Boreal Forests with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging. Remote Sensing. 10(2). 338–338. 69 indexed citations

17.

Luoma, Ville, Ninni Saarinen, Michael A. Wulder, et al.. (2017). Assessing Precision in Conventional Field Measurements of Individual Tree Attributes. Forests. 8(2). 38–38. 100 indexed citations

18.

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

19.

Luoma, Ville, Topi Tanhuanpää, Markus Holopainen, et al.. (2015). Allocating tree crown pruning with ALS-data - A case study in the city of Helsinki. xxxviii 4 c7. 1–4. 1 indexed citations

20.

Vastaranta, Mikko, et al.. (2015). Evaluation of a Smartphone App for Forest Sample Plot Measurements. Forests. 6(4). 1179–1194. 37 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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