Jonas Wallin

663 total citations
34 papers, 353 citations indexed

About

Jonas Wallin is a scholar working on Artificial Intelligence, Statistics and Probability and Environmental Engineering. According to data from OpenAlex, Jonas Wallin has authored 34 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 6 papers in Environmental Engineering. Recurrent topics in Jonas Wallin's work include Bayesian Methods and Mixture Models (5 papers), Viral Infections and Vectors (5 papers) and Soil Geostatistics and Mapping (5 papers). Jonas Wallin is often cited by papers focused on Bayesian Methods and Mixture Models (5 papers), Viral Infections and Vectors (5 papers) and Soil Geostatistics and Mapping (5 papers). Jonas Wallin collaborates with scholars based in Sweden, Germany and United Kingdom. Jonas Wallin's co-authors include David Bolin, Igor Rychlik, Joacim Rocklöv, Wengang Mao, Gaute Storhaug, Henrik Sjödin, Jan C. Semenza, Zia Farooq, Maquins Odhiambo Sewe and Krzysztof Podgórski and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Jonas Wallin

32 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonas Wallin Sweden 10 95 74 58 44 43 34 353
Albrecht Gebhardt Austria 11 52 0.5× 53 0.7× 23 0.4× 13 0.3× 9 0.2× 17 324
Vyacheslav Lyubchich United States 16 31 0.3× 42 0.6× 17 0.3× 12 0.3× 32 0.7× 47 602
Md. Haider Ali Biswas Bangladesh 13 19 0.2× 232 3.1× 115 2.0× 28 0.6× 16 0.4× 78 632
Oliver J. Maclaren New Zealand 13 24 0.3× 34 0.5× 46 0.8× 15 0.3× 192 4.5× 37 499
Gianluca Mastrantonio Italy 11 40 0.4× 17 0.2× 49 0.8× 7 0.2× 9 0.2× 27 289
Lawrence M. Murray Australia 13 22 0.2× 63 0.9× 40 0.7× 27 0.6× 11 0.3× 24 415
Lutz Hamel United States 9 28 0.3× 24 0.3× 53 0.9× 8 0.2× 63 1.5× 23 445
Bert Veenendaal Australia 9 64 0.7× 22 0.3× 9 0.2× 15 0.3× 7 0.2× 38 362
Wagner Hugo Bonat Brazil 12 37 0.4× 56 0.8× 13 0.2× 4 0.1× 23 0.5× 40 428
Helen J. Mayfield Australia 12 34 0.4× 92 1.2× 176 3.0× 5 0.1× 6 0.1× 53 430

Countries citing papers authored by Jonas Wallin

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Wallin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Wallin

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Wallin. A scholar is included among the top collaborators of Jonas Wallin 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 Jonas Wallin. Jonas Wallin 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.
Semenza, Jan C., et al.. (2025). A climate and population dependent diffusion model forecasts the spread of Aedes Albopictus mosquitoes in Europe. Communications Earth & Environment. 6(1). 1 indexed citations
2.
Heidecke, Julian, et al.. (2025). Uncovering temperature sensitivity of West Nile virus transmission: Novel computational approaches to mosquito-pathogen trait responses. PLoS Computational Biology. 21(3). e1012866–e1012866.
3.
Omazic, Anna, Giulio Grandi, Stefan Widgrén, et al.. (2025). Automated tick classification using deep learning and its associated challenges in citizen science. Scientific Reports. 15(1). 24942–24942. 2 indexed citations
4.
Tozan, Yesim, et al.. (2023). Predicting the dengue cluster outbreak dynamics in Yogyakarta, Indonesia: a modelling study. The Lancet Regional Health - Southeast Asia. 15. 100209–100209. 5 indexed citations
5.
Huang, Linfeng, et al.. (2023). Single-cell quantification and dose-response of cytosolic siRNA delivery. Nature Communications. 14(1). 1075–1075. 22 indexed citations
6.
Farooq, Zia, Henrik Sjödin, Jan C. Semenza, et al.. (2023). European projections of West Nile virus transmission under climate change scenarios. One Health. 16. 100509–100509. 37 indexed citations
7.
Altmejd, Adam, Joacim Rocklöv, & Jonas Wallin. (2023). Nowcasting COVID-19 Statistics Reported with Delay: A Case-Study of Sweden and the UK. International Journal of Environmental Research and Public Health. 20(4). 3040–3040. 2 indexed citations
8.
Farooq, Zia, Joacim Rocklöv, Jonas Wallin, et al.. (2022). Artificial intelligence to predict West Nile virus outbreaks with eco-climatic drivers. The Lancet Regional Health - Europe. 17. 100370–100370. 53 indexed citations
9.
10.
Delmar, Frédéric, et al.. (2022). Modeling new-firm growth and survival with panel data using event magnitude regression. Journal of Business Venturing. 37(5). 106245–106245. 9 indexed citations
11.
12.
Asar, Özgür, David Bolin, Peter J. Diggle, & Jonas Wallin. (2020). Linear Mixed Effects Models for Non-Gaussian Continuous Repeated Measurement Data. Journal of the Royal Statistical Society Series C (Applied Statistics). 69(5). 1015–1065. 9 indexed citations
13.
Wallin, Jonas, et al.. (2018). A Bayesian method to localize lost gamma sources. Applied Radiation and Isotopes. 145. 142–147. 14 indexed citations
14.
Gunnarsson, Bengt, Jonas Wallin, & Jenny Klingberg. (2018). Predation by avian insectivores on caterpillars is linked to leaf damage on oak (Quercus robur). Oecologia. 188(3). 733–741. 15 indexed citations
15.
Wallin, Jonas, et al.. (2016). BayesFlow: latent modeling of flow cytometry cell populations. BMC Bioinformatics. 17(1). 25–25. 19 indexed citations
16.
Johannesson, Pär, et al.. (2016). Detection of steering events using hidden Markov models with multivariate observations. International Journal of Vehicle Systems Modelling and Testing. 11(4). 313–313. 1 indexed citations
17.
Rychlik, Igor, et al.. (2015). Modeling extreme loads acting on steering components using driving events. Probabilistic Engineering Mechanics. 41. 13–20. 2 indexed citations
18.
Podgórski, Krzysztof, Igor Rychlik, & Jonas Wallin. (2014). Slepian models for moving averages driven by a non-Gaussian noise. Chalmers Publication Library (Chalmers University of Technology). 2 indexed citations
19.
Wallin, Jonas, et al.. (2014). The reporting on sustainability performance indicators : A thesis about the reporting of the Global Reporting Initiative’s sustainability Performance Indicators by the largest Swedish companies of the industrial sector. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
20.
Podgórski, Krzysztof & Jonas Wallin. (2013). Maximizing leave-one-out likelihood for the location parameter of unbounded densities. Annals of the Institute of Statistical Mathematics. 67(1). 19–38. 7 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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