Liisa Pesonen

2.3k total citations · 2 hit papers
34 papers, 1.6k citations indexed

About

Liisa Pesonen is a scholar working on Plant Science, Ecology and Food Science. According to data from OpenAlex, Liisa Pesonen has authored 34 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 7 papers in Ecology and 6 papers in Food Science. Recurrent topics in Liisa Pesonen's work include Smart Agriculture and AI (11 papers), Remote Sensing in Agriculture (7 papers) and Food Supply Chain Traceability (6 papers). Liisa Pesonen is often cited by papers focused on Smart Agriculture and AI (11 papers), Remote Sensing in Agriculture (7 papers) and Food Supply Chain Traceability (6 papers). Liisa Pesonen collaborates with scholars based in Finland, Denmark and Greece. Liisa Pesonen's co-authors include Claus Aage Grøn Sørensen, Heikki Saari, Jere Kaivosoja, Jussi Mäkynen, Eija Honkavaara, Ilkka Pölönen, Teemu Hakala, Paula Litkey, Dionysis Bochtis and Gareth Edwards and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Remote Sensing.

In The Last Decade

Liisa Pesonen

27 papers receiving 1.5k citations

Hit Papers

Processing and Assessment of Spectrometric, Stereoscopic ... 2013 2026 2017 2021 2013 2020 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
Liisa Pesonen Finland 15 587 483 425 193 174 34 1.6k
Rasmus Nyholm Jørgensen Denmark 28 1.4k 2.4× 658 1.4× 289 0.7× 130 0.7× 178 1.0× 111 2.2k
P. Gay Italy 25 897 1.5× 507 1.0× 432 1.0× 558 2.9× 153 0.9× 95 2.2k
João Valente Netherlands 24 689 1.2× 442 0.9× 396 0.9× 57 0.3× 634 3.6× 89 2.0k
Lorenzo Comba Italy 22 726 1.2× 491 1.0× 440 1.0× 130 0.7× 145 0.8× 58 1.3k
Emanuel Peres Portugal 24 959 1.6× 1.1k 2.4× 887 2.1× 143 0.7× 215 1.2× 133 2.9k
Ángela Ribeiro Spain 31 2.0k 3.5× 978 2.0× 565 1.3× 86 0.4× 179 1.0× 85 2.9k
Raul Morais Portugal 27 1.3k 2.2× 932 1.9× 682 1.6× 201 1.0× 252 1.4× 127 3.3k
Lei Tian United States 25 917 1.6× 708 1.5× 493 1.2× 34 0.2× 232 1.3× 98 2.3k
Telmo Adão Portugal 16 626 1.1× 894 1.9× 687 1.6× 58 0.3× 191 1.1× 71 2.0k
Stamatia Bibi Greece 15 501 0.9× 307 0.6× 221 0.5× 64 0.3× 342 2.0× 59 1.7k

Countries citing papers authored by Liisa Pesonen

Since Specialization
Citations

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

Fields of papers citing papers by Liisa Pesonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liisa Pesonen

This figure shows the co-authorship network connecting the top 25 collaborators of Liisa Pesonen. A scholar is included among the top collaborators of Liisa Pesonen 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 Liisa Pesonen. Liisa Pesonen 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.
Pussi, K., et al.. (2025). Reference framework for metadata description to commensurate data in grain production. Data in Brief. 60. 111557–111557.
2.
Villa‐Henriksen, Andrés, Gareth Edwards, Liisa Pesonen, Ole Green, & Claus Aage Grøn Sørensen. (2020). Internet of Things in arable farming: Implementation, applications, challenges and potential. Biosystems Engineering. 191. 60–84. 233 indexed citations breakdown →
3.
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
4.
Nikander, Jussi, et al.. (2017). Prototype Environment for integrating and sharing Farm Things and associated data. Advances in Animal Biosciences. 8(2). 645–649. 1 indexed citations
5.
Warsta, Lassi, et al.. (2015). Analyzing subsurface drain network performance in an agricultural monitoring site with a three-dimensional hydrological model. Journal of Hydrology. 529. 82–93. 19 indexed citations
6.
Pesonen, Liisa, et al.. (2013). Usability as a challenge in precision agriculture - case study : an ISOBUS VT. eCommons (Cornell University). 6 indexed citations
7.
Pesonen, Liisa, et al.. (2013). Remote assisted task management for ISOBUS equipped tractor-implement combination. eCommons (Cornell University).
8.
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
9.
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
10.
Kaivosoja, Jere, Liisa Pesonen, Jouko Kleemola, et al.. (2013). A case study of a precision fertilizer application task generation for wheat based on classified hyperspectral data from UAV combined with farm history data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8887. 88870H–88870H. 28 indexed citations
11.
Honkavaara, Eija, Heikki Saari, Jere Kaivosoja, et al.. (2013). Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture. Remote Sensing. 5(10). 5006–5039. 411 indexed citations breakdown →
12.
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
13.
Verdouw, C.N., et al.. (2011). The role of use cases in development of a reference framework for interoperability of data exchange in agriculture. Socio-Environmental Systems Modeling. 382–392.
14.
Sørensen, Claus Aage Grøn, et al.. (2011). Functional requirements for a future farm management information system. Computers and Electronics in Agriculture. 76(2). 266–276. 76 indexed citations
15.
Lawson, Lartey G., Søren Marcus Pedersen, Claus Aage Grøn Sørensen, et al.. (2011). A four nation survey of farm information management and advanced farming systems: A descriptive analysis of survey responses. Computers and Electronics in Agriculture. 77(1). 7–20. 47 indexed citations
16.
Sørensen, Claus Aage Grøn, et al.. (2010). A user-centric approach for information modelling in arable farming. Computers and Electronics in Agriculture. 73(1). 44–55. 62 indexed citations
17.
Sørensen, Claus Aage Grøn, S. Fountas, Edward Nash, et al.. (2010). Conceptual model of a future farm management information system. Computers and Electronics in Agriculture. 72(1). 37–47. 211 indexed citations
18.
Norros, Leena, et al.. (2007). Improving usability and user acceptance of information systems in farming. Jukuri (Natural Resources Institute Finland (Luke)). 3 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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