Toni Viskari

1.4k total citations
22 papers, 249 citations indexed

About

Toni Viskari is a scholar working on Global and Planetary Change, Soil Science and Atmospheric Science. According to data from OpenAlex, Toni Viskari has authored 22 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Global and Planetary Change, 9 papers in Soil Science and 5 papers in Atmospheric Science. Recurrent topics in Toni Viskari's work include Soil Carbon and Nitrogen Dynamics (7 papers), Plant Water Relations and Carbon Dynamics (7 papers) and Air Quality and Health Impacts (4 papers). Toni Viskari is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (7 papers), Plant Water Relations and Carbon Dynamics (7 papers) and Air Quality and Health Impacts (4 papers). Toni Viskari collaborates with scholars based in Finland, United States and Belgium. Toni Viskari's co-authors include Michael C. Dietze, Alexey Shiklomanov, Shawn Serbin, Jari Liski, Philip A. Townsend, Istem Fer, Ankur R. Desai, Brady S. Hardiman, Jarmo Mäkelä and Pekka Kolmonen and has published in prestigious journals such as PLoS ONE, Remote Sensing of Environment and Ecological Applications.

In The Last Decade

Toni Viskari

21 papers receiving 246 citations

Peers

Toni Viskari

GPC

ECOLO

NLC

Renato K. Braghiere United States

Gregor J. Sanders Australia

Emanuel Araújo Silva Brazil

Pierre‐Alexis Herrault France

Francesco Solano Italy

Istem Fer Finland

Micha Silver Israel

Samreong Panuthai Thailand

Елена Тихонова Russia

Renato K. Braghiere United States

Toni Viskari

256 ×1.8

GPC

166 ×1.5

ECOLO

82 ×1.2

50 ×0.9

31 ×0.7

NLC

Citations per year, relative to Toni Viskari Toni Viskari (= 1×) peers Renato K. Braghiere

Countries citing papers authored by Toni Viskari

Since Specialization

Citations

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

Fields of papers citing papers by Toni Viskari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toni Viskari

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

All Works

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20 of 20 papers shown

Guidi, Claudia, Markus Didion, Lorenz Walthert, et al.. (2025). Drivers of soil organic carbon from temperate to alpine forests: a model-based analysis of the Swiss forest soil inventory with Yasso20. Biogeosciences. 22(16). 4107–4122.

Tahvonen, Olli, et al.. (2023). Including soil alters the optimization of forestry with carbon sinks. Canadian Journal of Forest Research. 53(8). 591–604. 5 indexed citations

Viskari, Toni, et al.. (2022). Calibrating the soil organic carbon model Yasso20 with multiple datasets. Geoscientific model development. 15(4). 1735–1752. 14 indexed citations

Mäkelä, Jarmo, Laura Arppe, Hannu Fritze, et al.. (2022). Implementation and initial calibration of carbon-13 soil organic matter decomposition in the Yasso model. Biogeosciences. 19(17). 4305–4313. 3 indexed citations

Bodegom, Peter M. van, et al.. (2022). Implementation of mycorrhizal mechanisms into soil carbon model improves the prediction of long-term processes of plant litter decomposition. Biogeosciences. 19(5). 1469–1490. 9 indexed citations

Bodegom, Peter M. van, Stéphane Declerck, Jussi Heinonsalo, et al.. (2022). Mycelium chemistry differs markedly between ectomycorrhizal and arbuscular mycorrhizal fungi. Communications Biology. 5(1). 398–398. 18 indexed citations

Viskari, Toni, et al.. (2021). The impact of calibrating soil organic carbon model Yasso with multiple datasets. 6 indexed citations

Shiklomanov, Alexey, Michael C. Dietze, Istem Fer, Toni Viskari, & Shawn Serbin. (2021). Cutting out the middleman: calibrating and validating a dynamic vegetation model (ED2-PROSPECT5) using remotely sensed surface reflectance. Geoscientific model development. 14(5). 2603–2633. 20 indexed citations

Bodegom, Peter M. van, et al.. (2021). Implementation of mycorrhizal mechanisms into soil carbon model improves the prediction of long-term processes of plant litter decomposition. 2 indexed citations

10.

Blujdea, Viorel, Toni Viskari, Liisa Kulmala, et al.. (2021). Silvicultural Interventions Drive the Changes in Soil Organic Carbon in Romanian Forests According to Two Model Simulations. Forests. 12(6). 795–795. 5 indexed citations

11.

Viskari, Toni, et al.. (2021). The impact of calibrating soil organic carbon model Yasso with multiple datasets. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

12.

Viskari, Toni, et al.. (2020). Improving Yasso15 soil carbon model estimates with ensemble adjustment Kalman filter state data assimilation. Geoscientific model development. 13(12). 5959–5971. 19 indexed citations

13.

Mäkelä, Jarmo, Jürgen Knauer, Mika Aurela, et al.. (2019). Land surface model photosynthesis and parameter calibration for boreal sites with adaptive population importance sampler. 2 indexed citations

14.

Mäkelä, Jarmo, Jürgen Knauer, Mika Aurela, et al.. (2019). Parameter calibration and stomatal conductance formulation comparison for boreal forests with adaptive population importance sampler in the land surface model JSBACH. Geoscientific model development. 12(9). 4075–4098. 16 indexed citations

15.

Viskari, Toni, Alexey Shiklomanov, Michael C. Dietze, & Shawn Serbin. (2019). The influence of canopy radiation parameter uncertainty on model projections of terrestrial carbon and energy cycling. PLoS ONE. 14(7). e0216512–e0216512. 15 indexed citations

16.

Shiklomanov, Alexey, Michael C. Dietze, Toni Viskari, Philip A. Townsend, & Shawn Serbin. (2016). Quantifying the influences of spectral resolution on uncertainty in leaf trait estimates through a Bayesian approach to RTM inversion. Remote Sensing of Environment. 183. 226–238. 55 indexed citations

17.

Viskari, Toni, Eija Asmi, Pekka Kolmonen, et al.. (2012). Estimation of aerosol particle number distributions with Kalman Filtering – Part 1: Theory, general aspects and statistical validity. Atmospheric chemistry and physics. 12(24). 11767–11779. 8 indexed citations

18.

Viskari, Toni, Eija Asmi, Aki Virkkula, et al.. (2012). Estimation of aerosol particle number distribution with Kalman Filtering – Part 2: Simultaneous use of DMPS, APS and nephelometer measurements. Atmospheric chemistry and physics. 12(24). 11781–11793. 12 indexed citations

19.

Viskari, Toni, Pekka Kolmonen, T. Anttila, & Heikki Järvinen. (2010). The Role of Error Covariances in Estimation of Aerosol Number Concentrations. Aerosol Science and Technology. 44(6). 436–443. 1 indexed citations

20.

Viskari, Toni, Heikki Järvinen, T. Anttila, et al.. (2008). Duration of tangent-linear regime in sectional multi-component aerosol dynamics. Journal of Aerosol Science. 39(8). 723–736. 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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