Martin Reiß

886 total citations
29 papers, 543 citations indexed

About

Martin Reiß is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Martin Reiß has authored 29 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Astronomy and Astrophysics, 6 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Martin Reiß's work include Solar and Space Plasma Dynamics (19 papers), Ionosphere and magnetosphere dynamics (13 papers) and Astro and Planetary Science (6 papers). Martin Reiß is often cited by papers focused on Solar and Space Plasma Dynamics (19 papers), Ionosphere and magnetosphere dynamics (13 papers) and Astro and Planetary Science (6 papers). Martin Reiß collaborates with scholars based in Austria, United States and United Kingdom. Martin Reiß's co-authors include Manuela Temmer, Christian Möstl, Jürgen Hinterreiter, Helmut Ahammer, Astrid Veronig, Stefan J. Hofmeister, Tanja Amerstorfer, C. N. Arge, Rachel Bailey and S. Vennerstrøm and has published in prestigious journals such as Nature Communications, PLoS ONE and The Astrophysical Journal.

In The Last Decade

Martin Reiß

27 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Reiß Austria 13 428 152 73 36 35 29 543
R. L. Moore United States 18 537 1.3× 107 0.7× 51 0.7× 25 0.7× 4 0.1× 41 713
L. Rodríguez Belgium 24 1.2k 2.7× 291 1.9× 89 1.2× 54 1.5× 2 0.1× 66 1.2k
C. A. Young United States 14 397 0.9× 127 0.8× 150 2.1× 14 0.4× 36 536
Harim Lee South Korea 12 327 0.8× 66 0.4× 178 2.4× 23 0.6× 40 451
Subhamoy Chatterjee India 10 178 0.4× 39 0.3× 35 0.5× 14 0.4× 3 0.1× 33 230
Nurul Shazana Abdul Hamid Malaysia 11 241 0.6× 138 0.9× 37 0.5× 23 0.6× 2 0.1× 74 398
Andrés Muñoz‐Jaramillo United States 17 810 1.9× 298 2.0× 163 2.2× 123 3.4× 37 866
Bingxian Luo China 14 483 1.1× 156 1.0× 92 1.3× 30 0.8× 59 537
Yongyuan Xiang China 15 614 1.4× 108 0.7× 85 1.2× 40 1.1× 33 662
Baolin Tan China 17 706 1.6× 197 1.3× 50 0.7× 46 1.3× 75 765

Countries citing papers authored by Martin Reiß

Since Specialization
Citations

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

Fields of papers citing papers by Martin Reiß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Reiß

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Reiß. A scholar is included among the top collaborators of Martin Reiß 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 Martin Reiß. Martin Reiß 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.
Chifflard, Peter, et al.. (2024). Evaluating chemical properties and sustainable recycling of waste foundry sand in construction materials. Frontiers in Built Environment. 10. 3 indexed citations
2.
Ahammer, Helmut, et al.. (2023). ComsystanJ: A collection of Fiji/ImageJ2 plugins for nonlinear and complexity analysis in 1D, 2D and 3D. PLoS ONE. 18(10). e0292217–e0292217. 8 indexed citations
3.
Möstl, Christian, Andreas Weiß, Martin Reiß, et al.. (2022). Multipoint Interplanetary Coronal Mass Ejections Observed with Solar Orbiter, BepiColombo, Parker Solar Probe, Wind, and STEREO-A. The Astrophysical Journal Letters. 924(1). L6–L6. 27 indexed citations
4.
Reiß, Martin, K. Muglach, Christian Möstl, et al.. (2021). The observational uncertainty of coronal hole boundaries in automated detection schemes. University of Oulu Repository (University of Oulu). 17 indexed citations
5.
Amerstorfer, Tanja, Jürgen Hinterreiter, Andreas Weiß, et al.. (2021). Predicting CMEs Using ELEvoHI With STEREO‐HI Beacon Data. Space Weather. 19(12). 2 indexed citations
6.
Hinterreiter, Jürgen, Tanja Amerstorfer, Manuela Temmer, et al.. (2021). Drag‐Based CME Modeling With Heliospheric Images Incorporating Frontal Deformation: ELEvoHI 2.0. Space Weather. 19(10). 11 indexed citations
7.
Owens, M. J., Matthew Lang, Luke Barnard, et al.. (2020). A Computationally Efficient, Time-Dependent Model of the Solar Wind for Use as a Surrogate to Three-Dimensional Numerical Magnetohydrodynamic Simulations. Solar Physics. 295(3). 51 indexed citations
8.
Amerstorfer, Tanja, Jürgen Hinterreiter, Martin Reiß, et al.. (2020). Evaluation of CME Arrival Prediction Using Ensemble Modeling Based on Heliospheric Imaging Observations. Space Weather. 19(1). e2020SW002553–e2020SW002553. 18 indexed citations
9.
Möstl, Christian, Andreas Weiß, Rachel Bailey, et al.. (2020). Prediction of the In Situ Coronal Mass Ejection Rate for Solar Cycle 25: Implications for Parker Solar Probe In Situ Observations. The Astrophysical Journal. 903(2). 92–92. 33 indexed citations
10.
Möstl, Christian, Martin Reiß, Tanja Amerstorfer, et al.. (2018). Statistics and parameters of solar coronal mass ejections in the inner heliosphere: what to expect for Parker Solar Probe?. EGUGA. 3293. 1 indexed citations
11.
Temmer, Manuela, Jürgen Hinterreiter, & Martin Reiß. (2018). Coronal hole evolution from multi-viewpoint data as input for a STEREO solar wind speed persistence model. Journal of Space Weather and Space Climate. 8. A18–A18. 22 indexed citations
12.
Khamis, Mohamed, et al.. (2017). EyeScout. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 155–166. 38 indexed citations
13.
Reiß, Martin, et al.. (2016). Verification of high‐speed solar wind stream forecasts using operational solar wind models. Space Weather. 14(7). 495–510. 64 indexed citations
14.
Reiß, Martin, Stefan J. Hofmeister, Manuela Temmer, et al.. (2015). Differentiation between coronal holes and filament channels from SDO image data using machine learning algorithms. EGUGA. 266. 1 indexed citations
15.
Möstl, Christian, T. Rollett, R. A. Frahm, et al.. (2015). Strong coronal channelling and interplanetary evolution of a solar storm up to Earth and Mars. Nature Communications. 6(1). 7135–7135. 120 indexed citations
16.
Ahammer, Helmut, et al.. (2015). Is a two-dimensional generalization of the Higuchi algorithm really necessary?. Chaos An Interdisciplinary Journal of Nonlinear Science. 25(7). 73104–73104. 11 indexed citations
17.
Reiß, Martin, et al.. (2015). Noise dependency of algorithms for calculating fractal dimensions in digital images. Chaos Solitons & Fractals. 78. 39–46. 12 indexed citations
18.
Reiß, Martin, Stefan J. Hofmeister, Manuela Temmer, et al.. (2015). Improvements on coronal hole detection in SDO/AIA images using supervised classification. Journal of Space Weather and Space Climate. 5. A23–A23. 29 indexed citations
19.
Deserno, Thomas M., et al.. (2010). Visualization and analysis of medical ultrasound processing applied to Ground Penetrating Radar.. 6(3). 14–20. 2 indexed citations
20.
Li, Fang, et al.. (2008). Fire Protection Strategies for an Energy Efficient High-Rise Building. 1 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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