Teemu Hakala
Impact in
- Environmental Engineering top 0.1%
- Remote Sensing and LiDAR Applications
- Geology top 0.2%
- 3D Surveying and Cultural Heritage
Papers in
-
- Remote Sensing and LiDAR Applications 89
- Geology 34
- 3D Surveying and Cultural Heritage 34
- Co-authors
- Eija HonkavaaraJuha SuomalainenNiko ViljanenSanna KaasalainenRoope NäsiJuha HyyppäHeikki SaariJere Kaivosoja
In The Last Decade
Teemu Hakala
128 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Environmental Engineering 2.7k
- Geology 866
- Ecology 2.4k
- Ecological Modeling 228
- Space and Planetary Science 62
Countries citing papers authored by Teemu Hakala
This map shows the geographic impact of Teemu Hakala'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 Teemu Hakala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teemu Hakala more than expected).
Fields of papers citing papers by Teemu Hakala
This network shows the impact of papers produced by Teemu Hakala. 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 Teemu Hakala. The network helps show where Teemu Hakala may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Teemu Hakala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 5 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 30 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 20 | |
| 12 | 2019 | 38 | |
| 13 | 2019 | 3 | |
| 14 | 2018 | 26 | |
| 15 | 2018 | 5 | |
| 16 | 2018 | 4 | |
| 17 | 2017 | 10 | |
| 18 | Comparing helicopter-borne profiling radar with airborne laser scanner data for forest structure estimation. | 2017 | 3 |
| 19 | Applying Different Remote Sensing Data to Determine Relative Biomass Estimations of Cereals for Precision Fertilization Task Generation | 2017 | 4 |
| 20 | 2014 | 25 |
About Teemu Hakala
Teemu Hakala is a scholar working on Environmental Engineering, Geology, Ecology, Insect Science and Instrumentation, having authored 134 papers that have together received 4.4k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (89 papers), Remote Sensing in Agriculture (58 papers), 3D Surveying and Cultural Heritage (34 papers), Forest Ecology and Biodiversity Studies (20 papers), Forest ecology and management (14 papers), Robotics and Sensor-Based Localization (11 papers), Fire effects on ecosystems (9 papers) and Plant Water Relations and Carbon Dynamics (8 papers). The work is most often cited by research in Environmental Engineering (2.7k citations), Geology (866 citations), Ecology (2.4k citations), Ecological Modeling (228 citations) and Space and Planetary Science (62 citations). Teemu Hakala has collaborated with scholars based in Finland, China and Brazil. Frequent co-authors include Eija Honkavaara, Juha Suomalainen, Niko Viljanen, Sanna Kaasalainen, Roope Näsi, Juha Hyyppä, Heikki Saari, Jere Kaivosoja, Ilkka Pölönen and Olli Nevalainen. Their work appears in journals such as Remote Sensing, Journal of Quantitative Spectroscopy and Radiative Transfer, Sensors, ISPRS Journal of Photogrammetry and Remote Sensing and IEEE Transactions on Geoscience and Remote Sensing.
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.