Timo Kumpula

4.1k total citations · 2 hit papers
74 papers, 2.6k citations indexed

About

Timo Kumpula is a scholar working on Ecology, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Timo Kumpula has authored 74 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Ecology, 27 papers in Atmospheric Science and 19 papers in Environmental Engineering. Recurrent topics in Timo Kumpula's work include Climate change and permafrost (21 papers), Peatlands and Wetlands Ecology (20 papers) and Cryospheric studies and observations (16 papers). Timo Kumpula is often cited by papers focused on Climate change and permafrost (21 papers), Peatlands and Wetlands Ecology (20 papers) and Cryospheric studies and observations (16 papers). Timo Kumpula collaborates with scholars based in Finland, United Kingdom and United States. Timo Kumpula's co-authors include Bruce C. Forbes, Petteri Vihervaara, Florian Stammler, Marc Macias‐Fauria, Pentti Zetterberg, Sonja Kivinen, Nina Meschtyb, Elina Kaarlejärvi, Anu Pajunen and Benjamin Burkhard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Timo Kumpula

67 papers receiving 2.5k citations

Hit Papers

Summer warming explains widespread but not uniform greeni... 2020 2026 2022 2024 2020 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timo Kumpula Finland 26 1.0k 911 881 440 330 74 2.6k
T. Scott Rupp United States 38 1.9k 1.8× 1.1k 1.2× 2.3k 2.6× 132 0.3× 312 0.9× 59 3.6k
Trevor C. Lantz Canada 29 2.6k 2.5× 509 0.6× 387 0.4× 159 0.4× 340 1.0× 78 3.2k
Annett Bartsch Austria 33 2.4k 2.3× 600 0.7× 816 0.9× 1.1k 2.4× 139 0.4× 139 3.5k
Kevin Hennessy Australia 27 1.2k 1.2× 435 0.5× 2.3k 2.6× 195 0.4× 90 0.3× 45 3.4k
J. R. Dymond New Zealand 29 404 0.4× 1.4k 1.5× 1.1k 1.3× 635 1.4× 58 0.2× 113 3.4k
Xuefeng Cui China 28 671 0.6× 529 0.6× 1.2k 1.4× 284 0.6× 36 0.1× 78 2.2k
Inger Hanssen‐Bauer Norway 27 1.7k 1.6× 324 0.4× 1.0k 1.2× 102 0.2× 214 0.6× 47 2.4k
C. E. Tweedie United States 27 1.9k 1.8× 1.1k 1.2× 673 0.8× 199 0.5× 86 0.3× 81 3.0k
Cyrus Samimi Germany 25 404 0.4× 613 0.7× 788 0.9× 330 0.8× 30 0.1× 69 1.5k
Sophie C. Lewis Australia 27 1.5k 1.4× 334 0.4× 2.0k 2.3× 348 0.8× 63 0.2× 51 3.2k

Countries citing papers authored by Timo Kumpula

Since Specialization
Citations

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

Fields of papers citing papers by Timo Kumpula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timo Kumpula

This figure shows the co-authorship network connecting the top 25 collaborators of Timo Kumpula. A scholar is included among the top collaborators of Timo Kumpula 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 Kumpula. Timo Kumpula 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.
2.
Postila, Heini, et al.. (2025). Combining UAS-TIR and GEM-2 Techniques for Focused Water Sampling and Isotope Geochemical Analysis at Two Mine Sites in Northern Finland. Mine Water and the Environment. 44(1). 177–198. 1 indexed citations
4.
Marttila, Hannu, et al.. (2025). UAV LiDAR surveys and machine learning improve snow depth and water equivalent estimates in boreal landscapes. ˜The œcryosphere. 19(10). 4585–4610.
5.
Wolff, Franziska, Tiina H. M. Kolari, Aleksi Räsänen, et al.. (2025). Interannual spectral consistency and spatial uncertainties in UAV ‐based detection of boreal and subarctic mire plant communities. Remote Sensing in Ecology and Conservation. 11(6). 719–739. 1 indexed citations
6.
Räsänen, Aleksi, Franziska Wolff, Teemu Tahvanainen, et al.. (2024). Comparing multispectral and hyperspectral UAV data for detecting peatland vegetation patterns. International Journal of Applied Earth Observation and Geoinformation. 132. 104043–104043. 7 indexed citations
7.
Wolff, Franziska, et al.. (2024). UAV and field hyperspectral imaging for Sphagnum discrimination and vegetation modelling in Finnish aapa mires. International Journal of Applied Earth Observation and Geoinformation. 134. 104201–104201. 2 indexed citations
8.
Verdonen, Mariana, Miguel Villoslada, Tiina H. M. Kolari, et al.. (2024). Spatial Distribution of Thaw Depth in Palsas Estimated From Optical Unoccupied Aerial Systems Data. Permafrost and Periglacial Processes. 36(1). 22–36. 2 indexed citations
9.
Villoslada, Miguel, Logan T. Berner, Sari Juutinen, Henni Ylänne, & Timo Kumpula. (2024). Upscaling vascular aboveground biomass and topsoil moisture of subarctic fens from Unoccupied Aerial Vehicles (UAVs) to satellite level. The Science of The Total Environment. 933. 173049–173049. 5 indexed citations
10.
Marttila, Hannu, et al.. (2023). Spatial water table level modelling with multi-sensor unmanned aerial vehicle data in boreal aapa mires. Remote Sensing Applications Society and Environment. 32. 101059–101059. 8 indexed citations
11.
Verdonen, Mariana, et al.. (2023). Permafrost degradation at two monitored palsa mires in north-west Finland. ˜The œcryosphere. 17(5). 1803–1819. 18 indexed citations
12.
Ala‐aho, Pertti, Pekka M. Rossi, Anna‐Kaisa Ronkanen, et al.. (2023). Groundwater exfiltration pattern determination in the sub-arctic catchment using thermal imaging, stable water isotopes and fully-integrated groundwater-surface water modelling. Journal of Hydrology. 626. 130342–130342. 8 indexed citations
14.
Kivinen, Sonja, et al.. (2023). Utilizing historical maps in identification of long-term land use and land cover changes. AMBIO. 52(11). 1777–1792. 11 indexed citations
15.
16.
Berner, Logan T., Richard Massey, Patrick Jantz, et al.. (2020). Summer warming explains widespread but not uniform greening in the Arctic tundra biome. Nature Communications. 11(1). 4621–4621. 265 indexed citations breakdown →
17.
Kolari, Tiina H. M., Timo Kumpula, Mariana Verdonen, Bruce C. Forbes, & Teemu Tahvanainen. (2019). Reindeer grazing controls willows but has only minor effects on plant communities in Fennoscandian oroarctic mires. Arctic Antarctic and Alpine Research. 51(1). 506–520. 16 indexed citations
18.
Tarolli, Paolo, et al.. (2019). Application of UAS in the analysis of the spatial distribution of active layer thickness in Palsa mounds. EGU General Assembly Conference Abstracts. 13158. 1 indexed citations
19.
Kasvi, Elina, et al.. (2019). Comparison of remote sensing based approaches for mapping bathymetry of shallow, clear water rivers. Geomorphology. 333. 180–197. 105 indexed citations
20.
Kumpula, Timo, et al.. (2004). Remote sensing in inventory of high altitude pastures of the eastern Tibetan Plateau. SHILAP Revista de lepidopterología. 53–63. 4 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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