Niko Koivumäki

442 total citations
22 papers, 297 citations indexed

About

Niko Koivumäki is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Niko Koivumäki has authored 22 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecology, 10 papers in Environmental Engineering and 7 papers in Global and Planetary Change. Recurrent topics in Niko Koivumäki's work include Remote Sensing and LiDAR Applications (9 papers), Remote Sensing in Agriculture (7 papers) and Forest Ecology and Biodiversity Studies (5 papers). Niko Koivumäki is often cited by papers focused on Remote Sensing and LiDAR Applications (9 papers), Remote Sensing in Agriculture (7 papers) and Forest Ecology and Biodiversity Studies (5 papers). Niko Koivumäki collaborates with scholars based in Finland, Sweden and Iran. Niko Koivumäki's co-authors include Eija Honkavaara, Roope Näsi, Raquel Alves de Oliveira, Teemu Hakala, Juha Suomalainen, Lauri Markelin, Shan Xu, Jon Atherton, Albert Porcar‐Castell and Alasdair MacArthur and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and International Journal of Remote Sensing.

In The Last Decade

Niko Koivumäki

21 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niko Koivumäki Finland 10 181 108 79 79 32 22 297
Nathalie Guimarães Portugal 9 206 1.1× 111 1.0× 210 2.7× 103 1.3× 19 0.6× 18 387
Anastasiia Safonova Russia 7 202 1.1× 63 0.6× 186 2.4× 75 0.9× 14 0.4× 14 410
Christian Knoth Germany 7 206 1.1× 81 0.8× 165 2.1× 46 0.6× 26 0.8× 12 345
Maximo Larry Lopez Caceres Japan 11 163 0.9× 118 1.1× 187 2.4× 70 0.9× 14 0.4× 28 381
Erik Haß Germany 6 190 1.0× 147 1.4× 89 1.1× 37 0.5× 13 0.4× 6 328
Asli Ozdarici-Ok Türkiye 9 253 1.4× 110 1.0× 169 2.1× 119 1.5× 18 0.6× 19 391
Arthur Vincent France 2 402 2.2× 180 1.7× 173 2.2× 105 1.3× 30 0.9× 2 547
Guillaume Jubelin France 4 248 1.4× 81 0.8× 193 2.4× 134 1.7× 48 1.5× 6 364
Raquel Alves de Oliveira Finland 14 302 1.7× 87 0.8× 225 2.8× 131 1.7× 80 2.5× 40 549
Santhosh Seelan United States 5 200 1.1× 63 0.6× 112 1.4× 154 1.9× 22 0.7× 11 365

Countries citing papers authored by Niko Koivumäki

Since Specialization
Citations

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

Fields of papers citing papers by Niko Koivumäki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niko Koivumäki

This figure shows the co-authorship network connecting the top 25 collaborators of Niko Koivumäki. A scholar is included among the top collaborators of Niko Koivumäki 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 Niko Koivumäki. Niko Koivumäki 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.
Hakala, Teemu, Niko Koivumäki, Lauri Markelin, et al.. (2025). Detecting Wildfires on UAVs with Real-Time Segmentation Trained by Larger Teacher Models. Jyväskylä University Digital Archive (University of Jyväskylä). 5166–5176. 5 indexed citations
2.
Hakala, Teemu, Niko Koivumäki, Lauri Markelin, et al.. (2025). Boreal Forest Fire: UAV-collected Wildfire Detection and Smoke Segmentation Dataset. Scientific Data. 12(1). 1419–1419. 1 indexed citations
3.
Koivumäki, Niko, et al.. (2024). Autonomous robotic drone system for mapping forest interiors. SHILAP Revista de lepidopterología. XLVIII-2-2024. 167–172. 1 indexed citations
4.
Honkavaara, Eija, Raquel Alves de Oliveira, Roope Näsi, et al.. (2024). Exploring forest changes in an Ips typographus L. outbreak area: insights from multi-temporal multispectral UAS remote sensing. European Journal of Forest Research. 143(6). 1871–1892. 2 indexed citations
5.
Oliveira, Raquel Alves de, Niko Koivumäki, Kirsi Karila, et al.. (2024). Towards scalable wide area UAS monitoring of forest disturbance using hydrogen powered airships. International Journal of Remote Sensing. 46(1). 177–204.
6.
Huo, Langning, Niko Koivumäki, Raquel Alves de Oliveira, et al.. (2024). Bark beetle pre-emergence detection using multi-temporal hyperspectral drone images: Green shoulder indices can indicate subtle tree vitality decline. ISPRS Journal of Photogrammetry and Remote Sensing. 216. 200–216. 7 indexed citations
7.
Koivumäki, Niko, et al.. (2023). Visual-Inertial Odometry Using High Flying Altitude Drone Datasets. Drones. 7(1). 36–36. 14 indexed citations
8.
Näsi, Roope, Hannu Mikkola, Eija Honkavaara, et al.. (2023). Can Basic Soil Quality Indicators and Topography Explain the Spatial Variability in Agricultural Fields Observed from Drone Orthomosaics?. Agronomy. 13(3). 669–669. 14 indexed citations
9.
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
10.
Oliveira, Raquel Alves de, Roope Näsi, Panu Korhonen, et al.. (2023). High-precision estimation of grass quality and quantity using UAS-based VNIR and SWIR hyperspectral cameras and machine learning. Precision Agriculture. 25(1). 186–220. 13 indexed citations
11.
Suomalainen, Juha, Lauri Markelin, Raquel Alves de Oliveira, et al.. (2023). COMBINING YOLO V5 AND TRANSFER LEARNING FOR SMOKE-BASED WILDFIRE DETECTION IN BOREAL FORESTS. SHILAP Revista de lepidopterología. XLVIII-1/W2-2023. 1771–1778. 3 indexed citations
12.
Honkavaara, Eija, Roope Näsi, Raquel Alves de Oliveira, et al.. (2023). Comparison of Deep Neural Networks in the Classification of Bark Beetle-Induced Spruce Damage Using UAS Images. Remote Sensing. 15(20). 4928–4928. 15 indexed citations
13.
Hakala, Teemu, et al.. (2023). A DRONE SYSTEM FOR AUTONOMOUS MAPPING FLIGHTS INSIDE A FOREST – A FEASIBILITY STUDY AND FIRST RESULTS. SHILAP Revista de lepidopterología. XLVIII-1/W2-2023. 597–603. 1 indexed citations
14.
Oliveira, Raquel Alves de, José Marcato, Roope Näsi, et al.. (2022). Silage Grass Sward Nitrogen Concentration and Dry Matter Yield Estimation Using Deep Regression and RGB Images Captured by UAV. Agronomy. 12(6). 1352–1352. 17 indexed citations
15.
Junttila, Samuli, Roope Näsi, Niko Koivumäki, et al.. (2022). Multispectral Imagery Provides Benefits for Mapping Spruce Tree Decline Due to Bark Beetle Infestation When Acquired Late in the Season. Remote Sensing. 14(4). 909–909. 28 indexed citations
16.
Karila, Kirsi, Raquel Alves de Oliveira, Jere Kaivosoja, et al.. (2022). Estimating Grass Sward Quality and Quantity Parameters Using Drone Remote Sensing with Deep Neural Networks. Remote Sensing. 14(11). 2692–2692. 18 indexed citations
17.
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
18.
Honkavaara, Eija, Roope Näsi, Teemu Hakala, et al.. (2022). Estimating Tree Health Decline Caused by Ips typographus L. from UAS RGB Images Using a Deep One-Stage Object Detection Neural Network. Remote Sensing. 14(24). 6257–6257. 11 indexed citations
19.
Suomalainen, Juha, Raquel Alves de Oliveira, Teemu Hakala, et al.. (2021). Direct reflectance transformation methodology for drone-based hyperspectral imaging. Remote Sensing of Environment. 266. 112691–112691. 45 indexed citations
20.
Xu, Shan, Jon Atherton, Anu Riikonen, et al.. (2021). Structural and photosynthetic dynamics mediate the response of SIF to water stress in a potato crop. Remote Sensing of Environment. 263. 112555–112555. 90 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Nathalie Guimarães Breakdown of academic impact, for papers by Anastasiia Safonova Breakdown of academic impact, for papers by Christian Knoth Breakdown of academic impact, for papers by Maximo Larry Lopez Caceres Breakdown of academic impact, for papers by Erik Haß Breakdown of academic impact, for papers by Asli Ozdarici-Ok Breakdown of academic impact, for papers by Arthur Vincent Breakdown of academic impact, for papers by Guillaume Jubelin Breakdown of academic impact, for papers by Raquel Alves de Oliveira Breakdown of academic impact, for papers by Santhosh Seelan
Rankless by CCL
2026