Panu Korhonen

404 total citations
18 papers, 289 citations indexed

About

Panu Korhonen is a scholar working on Plant Science, Agronomy and Crop Science and Soil Science. According to data from OpenAlex, Panu Korhonen has authored 18 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 6 papers in Agronomy and Crop Science and 6 papers in Soil Science. Recurrent topics in Panu Korhonen's work include Soil Carbon and Nitrogen Dynamics (6 papers), Ruminant Nutrition and Digestive Physiology (5 papers) and Pasture and Agricultural Systems (4 papers). Panu Korhonen is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (6 papers), Ruminant Nutrition and Digestive Physiology (5 papers) and Pasture and Agricultural Systems (4 papers). Panu Korhonen collaborates with scholars based in Finland, Norway and United Kingdom. Panu Korhonen's co-authors include Perttu Virkajärvi, Jari Vartiainen, Irina Tsitko, Minna Vikman, Gianni Bellocchi, Giovanna Seddaiu, Marit Jørgensen, Florence Volaire, Dirk Reheul and Liv Østrem and has published in prestigious journals such as Journal of Environmental Management, Remote Sensing and Field Crops Research.

In The Last Decade

Panu Korhonen

18 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
Panu Korhonen Finland 10 71 71 69 69 55 18 289
Amir Abadi Australia 9 84 1.2× 101 1.4× 58 0.8× 86 1.2× 42 0.8× 14 395
Guodong Shao Germany 12 61 0.9× 48 0.7× 96 1.4× 108 1.6× 264 4.8× 25 429
Todd Nissen United States 10 69 1.0× 37 0.5× 36 0.5× 61 0.9× 181 3.3× 16 333
Anibal Nahuel Alejandro Pachas Australia 10 45 0.6× 97 1.4× 65 0.9× 43 0.6× 44 0.8× 23 359
Matteo Francioni Italy 9 47 0.7× 47 0.7× 45 0.7× 51 0.7× 96 1.7× 25 236
Anastase Azontonde Benin 10 78 1.1× 34 0.5× 70 1.0× 107 1.6× 362 6.6× 16 505
Pankaj Panwar India 12 33 0.5× 131 1.8× 57 0.8× 92 1.3× 124 2.3× 72 429
Fredrick O. Ayuke Kenya 9 50 0.7× 23 0.3× 58 0.8× 120 1.7× 219 4.0× 22 382
Jorge Hernández Uruguay 10 72 1.0× 51 0.7× 60 0.9× 63 0.9× 223 4.1× 27 350
Alasdair M. Grigg Australia 6 69 1.0× 55 0.8× 43 0.6× 274 4.0× 130 2.4× 8 386

Countries citing papers authored by Panu Korhonen

Since Specialization
Citations

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

Fields of papers citing papers by Panu Korhonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panu Korhonen

This figure shows the co-authorship network connecting the top 25 collaborators of Panu Korhonen. A scholar is included among the top collaborators of Panu Korhonen 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 Panu Korhonen. Panu Korhonen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Li, Yuan, Perttu Virkajärvi, Matthew Tom Harrison, et al.. (2025). DNDC modelling of greenhouse gas exchange from a boreal legume grassland under organic and mineral nitrogen management. Journal of Environmental Management. 390. 126344–126344. 1 indexed citations
2.
Li, Yuan, et al.. (2023). Management practices during the renewal year affect the carbon balance of a boreal legume grassland. Frontiers in Sustainable Food Systems. 7. 2 indexed citations
3.
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
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.
Korhonen, Panu, et al.. (2022). Viljelytekniset ratkaisut säilörehunurmen juuribiomassan hiilisyötteen määrän ja kemiallisen koostumuksen hallinnassa. Suomen Maataloustieteellisen Seuran Tiedote. 1 indexed citations
6.
Shurpali, Narasinha, Yuan Li, Panu Korhonen, & Perttu Virkajärvi. (2021). CO2 and N2O balance of a legume-based grassland in eastern Finland. Jukuri (Luonnonvarakeskus Tietopalvelu). 1 indexed citations
7.
Korhonen, Panu, et al.. (2020). Effects of nitrogen application rate on productivity, nutritive value and winter tolerance of timothy and meadow fescue cultivars. Grass and Forage Science. 75(1). 111–126. 11 indexed citations
8.
Oijen, Marcel van, Zoltán Barcza, Roberto Confalonieri, et al.. (2020). Incorporating Biodiversity into Biogeochemistry Models to Improve Prediction of Ecosystem Services in Temperate Grasslands: Review and Roadmap. Agronomy. 10(2). 259–259. 21 indexed citations
9.
Persson, Tomas, Mats Høglind, Marcel van Oijen, et al.. (2018). Simulation of timothy nutritive value: A comparison of three process-based models. Field Crops Research. 231. 81–92. 11 indexed citations
10.
Korhonen, Panu, et al.. (2018). Grass growth models for estimating digestibility and dry matter yield of forage grasses in Finland. Jukuri (Natural Resources Institute Finland (Luke)). 5 indexed citations
11.
Lehtonen, Heikki, Taru Palosuo, Panu Korhonen, & Xing Liu. (2018). Higher Crop Yield Levels in the North Savo Region—Means and Challenges Indicated by Farmers and Their Close Stakeholders. Agriculture. 8(7). 93–93. 9 indexed citations
12.
Korhonen, Panu, Taru Palosuo, Tomas Persson, et al.. (2018). Modelling grass yields in northern climates – a comparison of three growth models for timothy. Field Crops Research. 224. 37–47. 26 indexed citations
13.
Virkajärvi, Perttu, et al.. (2018). Nurmen täydennyskylvön vaikutus satoon aukkoisessa kasvustossa. Suomen Maataloustieteellisen Seuran Tiedote. 1 indexed citations
14.
Ergon, Åshild, Giovanna Seddaiu, Panu Korhonen, et al.. (2017). How can forage production in Nordic and Mediterranean Europe adapt to the challenges and opportunities arising from climate change?. European Journal of Agronomy. 92. 97–106. 71 indexed citations
15.
Peltonen‐Sainio, Pirjo, Ari Venäläinen, Pentti Pirinen, et al.. (2016). Harmfulness of weather events and the adaptive capacity of farmers at high latitudes of Europe. Climate Research. 67(3). 221–240. 37 indexed citations
16.
Korhonen, Panu, Taru Palosuo, Mats Høglind, et al.. (2015). Intercomparison of timothy models in northern countries. Jukuri (Natural Resources Institute Finland (Luke)). 5. 5–31. 1 indexed citations
17.
Vikman, Minna, Jari Vartiainen, Irina Tsitko, & Panu Korhonen. (2014). Biodegradability and Compostability of Nanofibrillar Cellulose-Based Products. Journal of environmental polymer degradation. 23(2). 206–215. 57 indexed citations
18.
Seppänen, Mervi, et al.. (2013). The role of vernalization in freezing tolerance and tiller composition of forage grasses.. Jukuri (Natural Resources Institute Finland (Luke)). 297–299. 3 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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