Jere Kaivosoja

1.6k total citations · 1 hit paper
37 papers, 1.2k citations indexed

About

Jere Kaivosoja is a scholar working on Ecology, Environmental Engineering and Plant Science. According to data from OpenAlex, Jere Kaivosoja has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Ecology, 17 papers in Environmental Engineering and 15 papers in Plant Science. Recurrent topics in Jere Kaivosoja's work include Remote Sensing in Agriculture (21 papers), Remote Sensing and LiDAR Applications (16 papers) and Smart Agriculture and AI (13 papers). Jere Kaivosoja is often cited by papers focused on Remote Sensing in Agriculture (21 papers), Remote Sensing and LiDAR Applications (16 papers) and Smart Agriculture and AI (13 papers). Jere Kaivosoja collaborates with scholars based in Finland, Germany and Serbia. Jere Kaivosoja's co-authors include Eija Honkavaara, Teemu Hakala, Liisa Pesonen, Heikki Saari, Ilkka Pölönen, Jussi Mäkynen, Roope Näsi, Niko Viljanen, Paula Litkey and Oiva Niemeläinen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Jere Kaivosoja

34 papers receiving 1.2k citations

Hit Papers

Processing and Assessment of Spectrometric, Stereoscopic ... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jere Kaivosoja Finland 15 769 590 398 175 170 37 1.2k
Roope Näsi Finland 18 1.0k 1.3× 826 1.4× 306 0.8× 317 1.8× 192 1.1× 47 1.5k
Jérôme Théau Canada 18 538 0.7× 357 0.6× 315 0.8× 273 1.6× 189 1.1× 46 1.3k
Niko Viljanen Finland 15 1.1k 1.4× 988 1.7× 290 0.7× 335 1.9× 247 1.5× 30 1.6k
Andrea Berton Italy 19 690 0.9× 556 0.9× 435 1.1× 269 1.5× 159 0.9× 46 1.7k
Jonáš Hruška Portugal 12 790 1.0× 611 1.0× 490 1.2× 205 1.2× 157 0.9× 21 1.6k
Lei Deng China 18 576 0.7× 468 0.8× 255 0.6× 197 1.1× 62 0.4× 57 1.1k
Lauri Markelin Finland 20 646 0.8× 608 1.0× 145 0.4× 199 1.1× 253 1.5× 50 1.2k
Shichao Jin China 27 915 1.2× 1.0k 1.7× 806 2.0× 311 1.8× 180 1.1× 69 2.0k
Anjin Chang United States 23 967 1.3× 657 1.1× 974 2.4× 203 1.2× 93 0.5× 67 1.7k
Jinha Jung United States 26 1.1k 1.5× 735 1.2× 1.0k 2.5× 256 1.5× 102 0.6× 103 2.1k

Countries citing papers authored by Jere Kaivosoja

Since Specialization
Citations

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

Fields of papers citing papers by Jere Kaivosoja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jere Kaivosoja

This figure shows the co-authorship network connecting the top 25 collaborators of Jere Kaivosoja. A scholar is included among the top collaborators of Jere Kaivosoja 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 Jere Kaivosoja. Jere Kaivosoja 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.
Vélez, Sergio, Mar Ariza-Sentís, Marko Panić, et al.. (2024). Speeding up UAV-based crop variability assessment through a data fusion approach using spatial interpolation for site-specific management. SHILAP Revista de lepidopterología. 8. 100488–100488. 8 indexed citations
2.
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
3.
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
4.
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
5.
Hiremath, Santosh, Taru Palosuo, Jere Kaivosoja, et al.. (2021). Crop loss identification at field parcel scale using satellite remote sensing and machine learning. PLoS ONE. 16(12). e0251952–e0251952. 5 indexed citations
6.
Kaivosoja, Jere. (2019). Role of spatial data uncertainty in executions of precision farming operations. Aaltodoc (Aalto University). 1 indexed citations
7.
Backman, Juha, et al.. (2019). Cropinfra research data collection platform for ISO 11783 compatible and retrofit farm equipment. Computers and Electronics in Agriculture. 166. 105008–105008. 14 indexed citations
8.
Nikander, Jussi, et al.. (2018). Application of Drone-Based Maps in Planning Farm Operations for Sward Management in Silage Production. Jukuri (Natural Resources Institute Finland (Luke)).
9.
Viljanen, Niko, Eija Honkavaara, Roope Näsi, et al.. (2018). A Novel Machine Learning Method for Estimating Biomass of Grass Swards Using a Photogrammetric Canopy Height Model, Images and Vegetation Indices Captured by a Drone. Agriculture. 8(5). 70–70. 149 indexed citations
10.
Kaivosoja, Jere, Roope Näsi, Teemu Hakala, Niko Viljanen, & Eija Honkavaara. (2017). Applying Different Remote Sensing Data to Determine Relative Biomass Estimations of Cereals for Precision Fertilization Task Generation. Jukuri (Luonnonvarakeskus Tietopalvelu). 670–680. 4 indexed citations
11.
Kaivosoja, Jere, et al.. (2016). Spatial overlapping in crop farming works. Jukuri (Natural Resources Institute Finland (Luke)). 5 indexed citations
12.
Kaivosoja, Jere. (2013). Measuring methods for automatic steering system factors performance. Jukuri (Natural Resources Institute Finland (Luke)). 1 indexed citations
13.
Pesonen, Liisa, et al.. (2013). Remote assisted task management for ISOBUS equipped tractor-implement combination. eCommons (Cornell University).
14.
Kaivosoja, Jere, et al.. (2013). Automatic control of farming operations based on spatial web services. Computers and Electronics in Agriculture. 100. 110–115. 20 indexed citations
15.
Honkavaara, Eija, Heikki Saari, Jussi Mäkynen, et al.. (2013). SPECTRAL IMAGING FROM UAVS UNDER VARYING ILLUMINATION CONDITIONS. SHILAP Revista de lepidopterología. XL-1/W2. 189–194. 68 indexed citations
16.
Pesonen, Liisa, et al.. (2013). Cropinfra – An Internet-based service infrastructure to support crop production in future farms. Biosystems Engineering. 120. 92–101. 21 indexed citations
17.
Pölönen, Ilkka, H. Salo, Heikki Saari, et al.. (2012). Biomass estimator for NIR image with a few additional spectral band images taken from light UAS. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8369. 836905–836905. 4 indexed citations
18.
Saari, Heikki, Ilkka Pölönen, H. Salo, et al.. (2012). UASI Summer 2012 UAV flight campaign results for forest and agriculture applications. Jukuri (Natural Resources Institute Finland (Luke)). 1 indexed citations
19.
Oksanen, Timo, et al.. (2006). Precision farming workflow with assisting ISOBUS prototype sprayer. Jukuri (Natural Resources Institute Finland (Luke)). 1 indexed citations
20.
Oksanen, Timo, et al.. (2006). Intelligent functions for crop production automation. Jukuri (Natural Resources Institute Finland (Luke)). 5 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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