Jens Pomoell

2.3k total citations
82 papers, 1.4k citations indexed

About

Jens Pomoell is a scholar working on Astronomy and Astrophysics, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Jens Pomoell has authored 82 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Astronomy and Astrophysics, 29 papers in Molecular Biology and 5 papers in Computational Mechanics. Recurrent topics in Jens Pomoell's work include Solar and Space Plasma Dynamics (72 papers), Ionosphere and magnetosphere dynamics (54 papers) and Geomagnetism and Paleomagnetism Studies (29 papers). Jens Pomoell is often cited by papers focused on Solar and Space Plasma Dynamics (72 papers), Ionosphere and magnetosphere dynamics (54 papers) and Geomagnetism and Paleomagnetism Studies (29 papers). Jens Pomoell collaborates with scholars based in Finland, Belgium and United States. Jens Pomoell's co-authors include Stefaan Poedts, Emilia Kilpua, Rami Vainio, E. Lumme, Camilla Scolini, K. Nordlund, Arkady V. Krasheninnikov, C. Verbeke, D. J. Price and R. Kissmann and has published in prestigious journals such as Journal of Applied Physics, The Astrophysical Journal and Journal of Computational Physics.

In The Last Decade

Jens Pomoell

77 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jens Pomoell Finland 20 1.2k 375 133 114 81 82 1.4k
Chaowei Jiang China 20 1.3k 1.0× 432 1.2× 127 1.0× 32 0.3× 96 1.2× 99 1.4k
P. Boerner United States 14 1.4k 1.1× 292 0.8× 175 1.3× 28 0.2× 55 0.7× 33 1.5k
Lingling Zhao United States 22 1.4k 1.2× 306 0.8× 207 1.6× 18 0.2× 67 0.8× 113 1.5k
C. Beck Germany 26 1.3k 1.0× 204 0.5× 266 2.0× 56 0.5× 13 0.2× 84 1.5k
Hideyuki Hotta Japan 17 644 0.5× 269 0.7× 58 0.4× 55 0.5× 38 0.5× 39 811
Miho Janvier France 22 1.4k 1.1× 363 1.0× 70 0.5× 19 0.2× 9 0.1× 48 1.4k
Zhi–Chao Liang China 13 301 0.2× 118 0.3× 45 0.3× 72 0.6× 15 0.2× 35 447
Hongqiang Song China 20 808 0.7× 163 0.4× 50 0.4× 38 0.3× 5 0.1× 74 928
R. Bandyopadhyay United States 18 867 0.7× 298 0.8× 64 0.5× 3 0.0× 88 1.1× 63 919
Jie Jiang China 21 1.3k 1.1× 472 1.3× 276 2.1× 13 0.1× 9 0.1× 67 1.4k

Countries citing papers authored by Jens Pomoell

Since Specialization
Citations

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

Fields of papers citing papers by Jens Pomoell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Pomoell

This figure shows the co-authorship network connecting the top 25 collaborators of Jens Pomoell. A scholar is included among the top collaborators of Jens Pomoell 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 Jens Pomoell. Jens Pomoell 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.
Kilpua, Emilia, Simon Good, Domenico Trotta, et al.. (2025). Effect of interplanetary shock waves on turbulence parameters. Annales Geophysicae. 43(2). 489–510.
2.
Heinemann, Stephan G., Jens Pomoell, Ronald M. Caplan, et al.. (2025). Quantifying Uncertainties in Solar Wind Forecasting due to Incomplete Solar Magnetic Field Information. The Astrophysical Journal. 986(2). 166–166. 1 indexed citations
3.
Asvestari, Eleanna, Manuela Temmer, Ronald M. Caplan, et al.. (2024). Coronal Models and Detection of the Open Magnetic Field. The Astrophysical Journal. 971(1). 45–45. 3 indexed citations
4.
Pomoell, Jens, et al.. (2024). Studying the Spheromak Rotation in Data-constrained Coronal Mass Ejection Modeling with EUHFORIA and Assessing Its Effect on the B z Prediction. The Astrophysical Journal Supplement Series. 270(2). 18–18. 9 indexed citations
5.
6.
Rodríguez, L., C. Verbeke, Jasmina Magdalenić, et al.. (2024). Validation of EUHFORIA cone and spheromak coronal mass ejection models. Astronomy and Astrophysics. 689. A187–A187. 2 indexed citations
7.
Heinemann, Stephan G., et al.. (2024). Classification of Enhanced Geoeffectiveness Resulting from High-speed Solar Wind Streams Compressing Slower Interplanetary Coronal Mass Ejections. The Astrophysical Journal Letters. 963(1). L25–L25. 3 indexed citations
8.
Pomoell, Jens, et al.. (2023). Modelling the interaction of Alfvénic fluctuations with coronal mass ejections in the low solar corona. Astronomy and Astrophysics. 679. A54–A54. 4 indexed citations
9.
Palmerio, Erika, B. J. Lynch, Camilla Scolini, et al.. (2023). Modeling a Coronal Mass Ejection from an Extended Filament Channel. II. Interplanetary Propagation to 1 au. The Astrophysical Journal. 958(1). 91–91. 9 indexed citations
10.
Jebaraj, Immanuel Christopher, Jens Pomoell, Norbert Magyar, et al.. (2023). The Effect of the Parametric Decay Instability on the Morphology of Coronal Type III Radio Bursts. The Astrophysical Journal Letters. 959(2). L33–L33. 4 indexed citations
11.
Lynch, B. J., Erika Palmerio, C. R. DeVore, et al.. (2021). Modeling a Coronal Mass Ejection from an Extended Filament Channel. I. Eruption and Early Evolution. The Astrophysical Journal. 914(1). 39–39. 14 indexed citations
12.
Heinemann, Stephan G., et al.. (2021). Life-time evolution and magnetic structure of coronal holes. 43. 1024. 1 indexed citations
13.
Kilpua, Emilia, et al.. (2021). Uncovering erosion effects on magnetic flux rope twist. Springer Link (Chiba Institute of Technology). 17 indexed citations
14.
Morosan, D. E., Erika Palmerio, Emilia Kilpua, et al.. (2020). Electron acceleration and radio emission following the early interaction of two coronal mass ejections. Springer Link (Chiba Institute of Technology). 9 indexed citations
15.
Scolini, Camilla, E. Chané, Jens Pomoell, L. Rodríguez, & Stefaan Poedts. (2020). Improving Predictions of High‐Latitude Coronal Mass Ejections Throughout the Heliosphere. Space Weather. 18(3). 7 indexed citations
16.
Wijsen, Nicolas, A. Aran, Jens Pomoell, & Stefaan Poedts. (2019). Interplanetary spread of solar energetic protons near a high-speed solar wind stream. Springer Link (Chiba Institute of Technology). 9 indexed citations
17.
Palmerio, Erika, Camilla Scolini, David Barnes, et al.. (2019). Multipoint study of successive coronal mass ejections driving moderate disturbances at 1 au. ePubs (Science and Technology Facilities Council, Research Councils UK). 18 indexed citations
18.
Scolini, Camilla, L. Rodríguez, Manuela Temmer, et al.. (2019). Investigating the evolution and interactions of the September 2017 CME events with EUHFORIA. The EGU General Assembly. 1. 2 indexed citations
19.
Poedts, Stefaan & Jens Pomoell. (2017). EUHFORIA: a solar wind and CME evolution model. EGU General Assembly Conference Abstracts. 7396. 3 indexed citations
20.
Zuccarello, F., L. Balmaceda, Gaël Cessateur, et al.. (2013). Solar activity and its evolution across the corona: recent advances. Journal of Space Weather and Space Climate. 3. A18–A18. 8 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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