Jannis Teunissen

1.5k total citations
46 papers, 1.1k citations indexed

About

Jannis Teunissen is a scholar working on Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Astronomy and Astrophysics. According to data from OpenAlex, Jannis Teunissen has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 25 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Astronomy and Astrophysics. Recurrent topics in Jannis Teunissen's work include Plasma Applications and Diagnostics (25 papers), Plasma Diagnostics and Applications (17 papers) and Electrohydrodynamics and Fluid Dynamics (14 papers). Jannis Teunissen is often cited by papers focused on Plasma Applications and Diagnostics (25 papers), Plasma Diagnostics and Applications (17 papers) and Electrohydrodynamics and Fluid Dynamics (14 papers). Jannis Teunissen collaborates with scholars based in Netherlands, China and Belgium. Jannis Teunissen's co-authors include Ute Ebert, Anbang Sun, Sander Nijdam, Xiaoran Li, Eiichi Takahashi, Rony Keppens, Baohong Guo, Guanjun Zhang, Willem Hundsdorfer and Saša Dujko and has published in prestigious journals such as The Astrophysical Journal, Journal of Computational Physics and Geophysical Research Letters.

In The Last Decade

Jannis Teunissen

44 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jannis Teunissen Netherlands 19 776 584 290 232 83 46 1.1k
G. Santin Netherlands 21 393 0.5× 603 1.0× 187 0.6× 141 0.6× 106 1.3× 93 1.6k
Sander Nijdam Netherlands 23 1.2k 1.6× 911 1.6× 332 1.1× 447 1.9× 136 1.6× 84 1.6k
Atsushi Komuro Japan 23 1.1k 1.5× 891 1.5× 78 0.3× 165 0.7× 486 5.9× 86 1.5k
Н. М. Зубарев Russia 20 704 0.9× 316 0.5× 67 0.2× 79 0.3× 49 0.6× 140 1.2k
N. A. Miller United States 15 180 0.2× 171 0.3× 662 2.3× 104 0.4× 38 0.5× 43 1.1k
François Rogier France 16 471 0.6× 159 0.3× 161 0.6× 78 0.3× 242 2.9× 48 849
Dmytro Sydorenko Canada 17 959 1.2× 117 0.2× 123 0.4× 69 0.3× 131 1.6× 39 1.1k
Alexander V. Khrabrov United States 14 433 0.6× 83 0.1× 260 0.9× 50 0.2× 64 0.8× 36 731
A. Huber United States 15 236 0.3× 64 0.1× 180 0.6× 59 0.3× 77 0.9× 39 784
R. K. Tripathi United States 21 193 0.2× 119 0.2× 320 1.1× 267 1.2× 340 4.1× 115 1.6k

Countries citing papers authored by Jannis Teunissen

Since Specialization
Citations

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

Fields of papers citing papers by Jannis Teunissen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jannis Teunissen

This figure shows the co-authorship network connecting the top 25 collaborators of Jannis Teunissen. A scholar is included among the top collaborators of Jannis Teunissen 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 Jannis Teunissen. Jannis Teunissen 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.
Teunissen, Jannis, et al.. (2025). Data-driven reduced modeling of streamer discharges in air. Computer Physics Communications. 315. 109733–109733.
2.
Teunissen, Jannis, et al.. (2025). Macroscopic parameterization of positive streamer heads in air. Plasma Sources Science and Technology. 34(2). 25015–25015. 1 indexed citations
3.
Guo, Yihao, et al.. (2025). Measurement of the electric field distribution in streamer discharges. Physical Review Research. 7(1). 1 indexed citations
4.
Guo, Yihao, B. M. Hare, Steven A. Cummer, et al.. (2024). Calculating Radio Emissions of Positive Streamer Phenomena Using 3D Simulations. Journal of Geophysical Research Atmospheres. 129(20). 1 indexed citations
5.
Wang, Zhen, Anbang Sun, Saša Dujko, Ute Ebert, & Jannis Teunissen. (2024). 3D simulations of positive streamers in air in a strong external magnetic field. Plasma Sources Science and Technology. 33(2). 25007–25007. 5 indexed citations
6.
Teunissen, Jannis, et al.. (2024). Axisymmetric fluid streamer model in the AMReX library. Plasma Sources Science and Technology. 33(8). 85012–85012. 1 indexed citations
7.
Li, Xiaoran, et al.. (2024). Investigation of positive streamers in CO2: experiments and 3D particle-in-cell simulations. Plasma Sources Science and Technology. 33(9). 95009–95009. 4 indexed citations
8.
Wang, Zhen, Yihao Guo, Anbang Sun, et al.. (2023). Quantitative modeling of streamer discharge branching in air. Plasma Sources Science and Technology. 32(8). 85007–85007. 18 indexed citations
9.
Ebert, Ute, et al.. (2023). Double-pulse streamer simulations for varying interpulse times in air. Plasma Sources Science and Technology. 32(9). 95006–95006. 6 indexed citations
10.
Li, Xiaoran, Baohong Guo, Anbang Sun, Ute Ebert, & Jannis Teunissen. (2022). A computational study of steady and stagnating positive streamers in N 2 –O 2 mixtures. Plasma Sources Science and Technology. 31(6). 65011–65011. 20 indexed citations
11.
Guo, Baohong, Xiaoran Li, Ute Ebert, & Jannis Teunissen. (2022). A computational study of accelerating, steady and fading negative streamers in ambient air. Plasma Sources Science and Technology. 31(9). 95011–95011. 18 indexed citations
12.
Li, Xiaoran, et al.. (2021). Comparing simulations and experiments of positive streamers in air: steps toward model validation. Plasma Sources Science and Technology. 30(9). 95002–95002. 34 indexed citations
13.
Wang, Zhen, Anbang Sun, & Jannis Teunissen. (2021). A comparison of particle and fluid models for positive streamer discharges in air. Plasma Sources Science and Technology. 31(1). 15012–15012. 23 indexed citations
14.
Camporeale, Enrico, et al.. (2021). Predicting arrival time for CMEs: Machine learning and ensemble methods. 3 indexed citations
15.
Teunissen, Jannis, et al.. (2018). Tumor classification with MALDI-MSI data of tissue microarrays: A case study. Methods. 151. 21–27. 29 indexed citations
16.
Teunissen, Jannis & Ute Ebert. (2018). Afivo: A framework for quadtree/octree AMR with shared-memory parallelization and geometric multigrid methods. Computer Physics Communications. 233. 156–166. 53 indexed citations
17.
Nijdam, Sander, Eiichi Takahashi, Jannis Teunissen, & Ute Ebert. (2014). Streamer discharges can move perpendicularly to the electric field. New Journal of Physics. 16(10). 103038–103038. 46 indexed citations
18.
Teunissen, Jannis, et al.. (2013). Comparing fluid models for streamer discharges. Bulletin of the American Physical Society. 58(8). 20–20. 1 indexed citations
19.
Teunissen, Jannis & Ute Ebert. (2013). Controlling the weights of simulation particles: adaptive particle management using k-d trees. Journal of Computational Physics. 259. 318–330. 44 indexed citations
20.
Dujko, Saša, et al.. (2012). High order fluid model for streamer discharges. Data Archiving and Networked Services (DANS). 53–53. 12 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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