Antti Solonen

837 total citations
33 papers, 559 citations indexed

About

Antti Solonen is a scholar working on Global and Planetary Change, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, Antti Solonen has authored 33 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Global and Planetary Change, 11 papers in Atmospheric Science and 6 papers in Artificial Intelligence. Recurrent topics in Antti Solonen's work include Meteorological Phenomena and Simulations (11 papers), Climate variability and models (10 papers) and Gaussian Processes and Bayesian Inference (5 papers). Antti Solonen is often cited by papers focused on Meteorological Phenomena and Simulations (11 papers), Climate variability and models (10 papers) and Gaussian Processes and Bayesian Inference (5 papers). Antti Solonen collaborates with scholars based in Finland, United States and Australia. Antti Solonen's co-authors include Heikki Haario, Marko Laine, Heikki Järvinen, Johnathan M. Bardsley, Арто Лаари, Pirkka Ollinaho, Johanna Tamminen, А. А. Ильин, Janne Hakkarainen and Juha Kallas and has published in prestigious journals such as Journal of Animal Ecology, Industrial & Engineering Chemistry Research and Atmospheric chemistry and physics.

In The Last Decade

Antti Solonen

33 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antti Solonen Finland 14 163 158 103 61 57 33 559
Amit Misra India 20 562 3.4× 599 3.8× 87 0.8× 119 2.0× 69 1.2× 39 1.1k
M. L. Sharma India 23 72 0.4× 100 0.6× 248 2.4× 12 0.2× 11 0.2× 108 1.9k
Benjamin Jourdain France 17 123 0.8× 299 1.9× 17 0.2× 67 1.1× 19 0.3× 50 808
Karl Bury Canada 7 48 0.3× 36 0.2× 32 0.3× 76 1.2× 114 2.0× 17 684
Jenný Brynjarsdóttir United States 7 85 0.5× 39 0.2× 94 0.9× 8 0.1× 130 2.3× 13 466
Paul Elmore United States 13 20 0.1× 61 0.4× 97 0.9× 52 0.9× 8 0.1× 48 691
Yifei Yao China 13 71 0.4× 74 0.5× 60 0.6× 10 0.2× 6 0.1× 43 522
Qifan Wu China 12 74 0.5× 23 0.1× 30 0.3× 22 0.4× 43 0.8× 49 469
Weizhen Wang China 15 67 0.4× 139 0.9× 28 0.3× 183 3.0× 38 0.7× 61 589
Valérie Monbet France 14 56 0.3× 39 0.2× 50 0.5× 15 0.2× 6 0.1× 33 504

Countries citing papers authored by Antti Solonen

Since Specialization
Citations

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

Fields of papers citing papers by Antti Solonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antti Solonen

This figure shows the co-authorship network connecting the top 25 collaborators of Antti Solonen. A scholar is included among the top collaborators of Antti Solonen 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 Antti Solonen. Antti Solonen 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.
Solonen, Antti, et al.. (2023). Hierarchical Bayesian propulsion power models — A simplified example with cruise ships. Ocean Engineering. 285. 115226–115226. 1 indexed citations
2.
Solonen, Antti, Tiangang Cui, Janne Hakkarainen, & Youssef Marzouk. (2016). On dimension reduction in Gaussian filters. Inverse Problems. 32(4). 45003–45003. 13 indexed citations
3.
Bardsley, Johnathan M., Antti Solonen, Heikki Haario, & Marko Laine. (2014). Randomize-Then-Optimize: A Method for Sampling from Posterior Distributions in Nonlinear Inverse Problems. SIAM Journal on Scientific Computing. 36(4). A1895–A1910. 90 indexed citations
4.
Solonen, Antti, et al.. (2014). Estimating model error covariance matrix parameters in extended Kalman filtering. Nonlinear processes in geophysics. 21(5). 919–927. 19 indexed citations
5.
Solonen, Antti, et al.. (2014). OPTIMIZATION-BASED SAMPLING IN ENSEMBLE KALMAN FILTERING. International Journal for Uncertainty Quantification. 4(4). 349–364. 2 indexed citations
6.
Solonen, Antti & Heikki Järvinen. (2013). An approach for tuning ensemble prediction systems. Tellus A Dynamic Meteorology and Oceanography. 65(1). 20594–20594. 3 indexed citations
7.
Ollinaho, Pirkka, Peter Bechtold, Martin Leutbecher, et al.. (2013). Parameter variations in prediction skill optimization at ECMWF. Nonlinear processes in geophysics. 20(6). 1001–1010. 15 indexed citations
8.
McCaffery, Rebecca, Antti Solonen, & Elizabeth E. Crone. (2012). Frog population viability under present and future climate conditions: a Bayesian state‐space approach. Journal of Animal Ecology. 81(5). 978–985. 18 indexed citations
9.
Ollinaho, Pirkka, Marko Laine, Antti Solonen, Heikki Haario, & Heikki Järvinen. (2012). NWP model forecast skill optimization via closure parameter variations. Quarterly Journal of the Royal Meteorological Society. 139(675). 1520–1532. 21 indexed citations
10.
Bardsley, Johnathan M., et al.. (2012). AN ENSEMBLE KALMAN FILTER USING THE CONJUGATE GRADIENT SAMPLER. International Journal for Uncertainty Quantification. 3(4). 357–370. 7 indexed citations
11.
Järvinen, Heikki, Marko Laine, Pirkka Ollinaho, Antti Solonen, & Heikki Haario. (2011). Numerical weather prediction model tuning via ensemble prediction system. AGUFM. 2011. 1 indexed citations
12.
Laine, Marko, Antti Solonen, Heikki Haario, & Heikki Järvinen. (2011). Ensemble prediction and parameter estimation system: the method. Quarterly Journal of the Royal Meteorological Society. 138(663). 289–297. 28 indexed citations
13.
Solonen, Antti. (2011). Bayesian methods for estimation, optimization and experimental design. LUTPub (LUT University). 11 indexed citations
14.
Solonen, Antti, Heikki Haario, & Marko Laine. (2011). Simulation-Based Optimal Design Using a Response Variance Criterion. Journal of Computational and Graphical Statistics. 21(1). 234–252. 20 indexed citations
15.
Solonen, Antti & Heikki Haario. (2011). Model-based process optimization in the presence of parameter uncertainty. Engineering Optimization. 44(7). 875–894. 5 indexed citations
16.
Järvinen, Heikki, Petri Räisänen, Marko Laine, et al.. (2010). Estimation of ECHAM5 climate model closure parameters with adaptive MCMC. Atmospheric chemistry and physics. 10(20). 9993–10002. 42 indexed citations
17.
Лаари, Арто, et al.. (2010). Skeletal isomerization kinetics of 1-pentene over an HZSM-22 catalyst. Chemical Engineering Science. 65(16). 4640–4651. 9 indexed citations
18.
Лаари, Арто, et al.. (2009). Multicomponent reaction kinetics for the ozonation of p-nitrophenol and its decomposition products under acidic conditions at constant pH. Chemical Engineering Science. 64(10). 2332–2342. 29 indexed citations
19.
Solonen, Antti. (2007). Monte Carlo Methods in Parameter Estimation of Nonlinear Models. LUTPub (LUT University). 26 indexed citations
20.
Лаари, Арто, et al.. (2007). Estimation of Multicomponent Reaction Kinetics of p-Nitrophenol Ozonation in a Bubble Column. Industrial & Engineering Chemistry Research. 46(19). 6235–6243. 13 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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