Jonas Wallin
Impact in
- Environmental Engineering top 10%
- Soil Geostatistics and Mapping
- Maritime Transport Emissions and Efficiency
- Modeling and Simulation top 10%
Papers in
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- Bayesian Methods and Mixture Models 5
-
- Statistical Methods and Inference 3
- Statistical Methods and Bayesian Inference 3
- Co-authors
- David Bolin (9 shared papers)Joacim Rocklöv (7 shared papers)Igor Rychlik (4 shared papers)Jan C. Semenza (4 shared papers)Henrik Sjödin (4 shared papers)Maquins Odhiambo Sewe (2 shared papers)Wengang Mao (1 shared paper)Zia Farooq (2 shared papers)
- Journals
- Spatial Statistics (2 papers)PLoS ONE (2 papers)Ocean Engineering (1 paper)One Health (1 paper)Genetics (1 paper)
- Partner nations
- SwedenGermanyUnited States
In The Last Decade
Jonas Wallin
33 papers receiving 385 citations
Peers
Comparison fields: 5 of 98
- Environmental Engineering 97
- Modeling and Simulation 22
- Public Health, Environmental and Occupational Health 88
- Statistics and Probability 27
- Infectious Diseases 52
Countries citing papers authored by Jonas Wallin
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
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-authors
The 25 scholars most cited alongside Jonas Wallin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 61 | |
| 2 | 2016 | 59 | |
| 3 | 2023 | 46 | |
| 4 | 2015 | 44 | |
| 5 | 2023 | 23 | |
| 6 | 2016 | 19 | |
| 7 | 2018 | 16 | |
| 8 | 2018 | 16 | |
| 9 | 2016 | 13 | |
| 10 | 2022 | 10 | |
| 11 | 2020 | 9 | |
| 12 | 2023 | 7 | |
| 13 | 2018 | 7 | |
| 14 | 2013 | 7 | |
| 15 | 2015 | 6 | |
| 16 | 2015 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2025 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2021 | 3 |
About Jonas Wallin
Jonas Wallin is a scholar working on Artificial Intelligence, Statistics and Probability, Environmental Engineering, Infectious Diseases and Molecular Biology, having authored 35 papers that have together received 389 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (5 papers), Soil Geostatistics and Mapping (5 papers), Viral Infections and Vectors (4 papers), COVID-19 epidemiological studies (3 papers), Statistical Methods and Inference (3 papers), Radioactivity and Radon Measurements (3 papers), Statistical Methods and Bayesian Inference (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Environmental Engineering (97 citations), Modeling and Simulation (22 citations), Public Health, Environmental and Occupational Health (88 citations), Statistics and Probability (27 citations) and Infectious Diseases (52 citations). Jonas Wallin has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include David Bolin, Joacim Rocklöv, Igor Rychlik, Jan C. Semenza, Henrik Sjödin, Maquins Odhiambo Sewe, Wengang Mao, Zia Farooq, Gaute Storhaug and Krzysztof Podgórski. Their work appears in journals such as Spatial Statistics, PLoS ONE, Ocean Engineering, One Health and Genetics.
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.