Jonas Elm

5.5k total citations
120 papers, 3.7k citations indexed

About

Jonas Elm is a scholar working on Atmospheric Science, Atomic and Molecular Physics, and Optics and Spectroscopy. According to data from OpenAlex, Jonas Elm has authored 120 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Atmospheric Science, 31 papers in Atomic and Molecular Physics, and Optics and 24 papers in Spectroscopy. Recurrent topics in Jonas Elm's work include Atmospheric chemistry and aerosols (94 papers), Atmospheric Ozone and Climate (65 papers) and Advanced Chemical Physics Studies (28 papers). Jonas Elm is often cited by papers focused on Atmospheric chemistry and aerosols (94 papers), Atmospheric Ozone and Climate (65 papers) and Advanced Chemical Physics Studies (28 papers). Jonas Elm collaborates with scholars based in Denmark, Finland and China. Jonas Elm's co-authors include Kurt V. Mikkelsen, Merete Bilde, Theo Kurtén, Hanna Vehkamäki, Nanna Myllys, Hong‐Bin Xie, Jingwen Chen, Roope Halonen, Jakub Kubečka and Tinja Olenius and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Journal of Materials Chemistry.

In The Last Decade

Jonas Elm

117 papers receiving 3.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jonas Elm 2.8k 844 755 660 583 120 3.7k
Weijun Zhang 2.0k 0.7× 608 0.7× 546 0.7× 397 0.6× 1.2k 2.0× 236 3.3k
G. Le Bras 2.9k 1.0× 449 0.5× 623 0.8× 631 1.0× 873 1.5× 117 3.8k
P. H. Wine 3.9k 1.4× 962 1.1× 1.1k 1.5× 567 0.9× 1.5k 2.5× 143 5.1k
Matthew J. Elrod 1.9k 0.7× 399 0.5× 925 1.2× 327 0.5× 787 1.3× 68 3.0k
Christa Fittschen 2.1k 0.7× 325 0.4× 548 0.7× 848 1.3× 1.0k 1.8× 160 3.7k
Mark A. Blitz 2.9k 1.0× 377 0.4× 1.5k 2.0× 660 1.0× 1.5k 2.6× 157 4.3k
Ernesto C. Tuazon 3.1k 1.1× 461 0.5× 437 0.6× 487 0.7× 675 1.2× 103 4.0k
Luc Vereecken 4.6k 1.6× 554 0.7× 1.4k 1.8× 913 1.4× 1.3k 2.2× 123 5.9k
Torsten Berndt 5.1k 1.8× 1.2k 1.4× 416 0.6× 584 0.9× 816 1.4× 95 5.6k
Carl J. Percival 5.2k 1.8× 1.4k 1.6× 1.2k 1.5× 490 0.7× 1.9k 3.2× 196 6.7k

Countries citing papers authored by Jonas Elm

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Elm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Elm

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Elm. A scholar is included among the top collaborators of Jonas Elm 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 Elm. Jonas Elm 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.
Kubečka, Jakub, et al.. (2024). Reparameterization of GFN1-xTB for atmospheric molecular clusters: applications to multi-acid–multi-base systems. RSC Advances. 14(28). 20048–20055. 5 indexed citations
2.
Kubečka, Jakub, et al.. (2024). Accurate modeling of the potential energy surface of atmospheric molecular clusters boosted by neural networks. Environmental Science Advances. 3(10). 1438–1451. 2 indexed citations
3.
Elm, Jonas, et al.. (2024). A cluster-of-functional-groups approach for studying organic enhanced atmospheric cluster formation. SHILAP Revista de lepidopterología. 2(1). 123–134. 6 indexed citations
4.
Elm, Jonas, et al.. (2024). A new setup for measurements of absolute saturation vapor pressures using a dynamical method: Experimental concept and validation. Review of Scientific Instruments. 95(6). 2 indexed citations
5.
Zhang, Rongjie, Fangfang Ma, Yanjie Zhang, et al.. (2023). HIO3–HIO2-Driven Three-Component Nucleation: Screening Model and Cluster Formation Mechanism. Environmental Science & Technology. 58(1). 649–659. 6 indexed citations
6.
Olenius, Tinja, R. W. Bergstrom, Jakub Kubečka, Nanna Myllys, & Jonas Elm. (2023). Reducing chemical complexity in representation of new-particle formation: evaluation of simplification approaches. Environmental Science Atmospheres. 3(3). 552–567. 3 indexed citations
7.
Ma, Fangfang, Hong‐Bin Xie, Rongjie Zhang, et al.. (2023). Enhancement of Atmospheric Nucleation Precursors on Iodic Acid-Induced Nucleation: Predictive Model and Mechanism. Environmental Science & Technology. 57(17). 6944–6954. 19 indexed citations
8.
Cai, Runlong, Rujing Yin, Xue Li, et al.. (2023). Significant contributions of trimethylamine to sulfuric acid nucleation in polluted environments. npj Climate and Atmospheric Science. 6(1). 19 indexed citations
9.
Rosati, Bernadette, Sigurd Christiansen, Mads Mørk Jensen, et al.. (2022). Hygroscopicity and CCN potential of DMS-derived aerosol particles. Atmospheric chemistry and physics. 22(20). 13449–13466. 10 indexed citations
10.
Kubečka, Jakub, et al.. (2022). Massive Assessment of the Binding Energies of Atmospheric Molecular Clusters. Journal of Chemical Theory and Computation. 18(12). 7373–7383. 22 indexed citations
11.
Thomsen, Ditte, et al.. (2022). Ozonolysis of α-Pinene and Δ3-Carene Mixtures: Formation of Dimers with Two Precursors. Environmental Science & Technology. 56(23). 16643–16651. 17 indexed citations
12.
Ma, Fangfang, et al.. (2022). Atmospheric oxidation mechanism and kinetics of indole initiated by ●OH and ●Cl: a computational study. Atmospheric chemistry and physics. 22(17). 11543–11555. 14 indexed citations
13.
Zhang, Rongjie, et al.. (2022). The role of organic acids in new particle formation from methanesulfonic acid and methylamine. Atmospheric chemistry and physics. 22(4). 2639–2650. 37 indexed citations
14.
Rosati, Bernadette, Sigurd Christiansen, Pontus Roldin, et al.. (2021). New Particle Formation and Growth from Dimethyl Sulfide Oxidation by Hydroxyl Radicals. ACS Earth and Space Chemistry. 5(4). 801–811. 21 indexed citations
15.
Elm, Jonas, Bernadette Rosati, Sigurd Christiansen, et al.. (2021). Secondary aerosol formation from dimethyl sulfide – improved mechanistic understanding based on smog chamber experiments and modelling. Atmospheric chemistry and physics. 21(13). 9955–9976. 38 indexed citations
16.
Thomsen, Ditte, et al.. (2021). Large Discrepancy in the Formation of Secondary Organic Aerosols from Structurally Similar Monoterpenes. ACS Earth and Space Chemistry. 5(3). 632–644. 24 indexed citations
17.
Zhang, Rongjie, Jiewen Shen, Hong‐Bin Xie, Jingwen Chen, & Jonas Elm. (2021). The Role of Organic Acids in New Particle Formation from Methanesulfonic Acid and Methylamine. 2 indexed citations
18.
Kristensen, Kasper, Louise N. Jensen, Lauriane L. J. Quéléver, et al.. (2020). The Aarhus Chamber Campaign on Highly Oxygenated Organic Molecules and Aerosols (ACCHA): particle formation, organic acids, and dimer esters from α -pinene ozonolysis at different temperatures. Atmospheric chemistry and physics. 20(21). 12549–12567. 28 indexed citations
19.
20.
Hyttinen, Noora, et al.. (2020). Technical note: Estimating aqueous solubilities and activity coefficients of mono- and α , ω -dicarboxylic acids using COSMO therm. Atmospheric chemistry and physics. 20(21). 13131–13143. 9 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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