Stefanie Vogl

701 total citations
17 papers, 515 citations indexed

About

Stefanie Vogl is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Stefanie Vogl has authored 17 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atmospheric Science, 9 papers in Global and Planetary Change and 3 papers in Oceanography. Recurrent topics in Stefanie Vogl's work include Meteorological Phenomena and Simulations (8 papers), Climate variability and models (6 papers) and Tropical and Extratropical Cyclones Research (4 papers). Stefanie Vogl is often cited by papers focused on Meteorological Phenomena and Simulations (8 papers), Climate variability and models (6 papers) and Tropical and Extratropical Cyclones Research (4 papers). Stefanie Vogl collaborates with scholars based in Germany, United States and Austria. Stefanie Vogl's co-authors include Roger K. Smith, Patrick Laux, Harald Kunstmann, Michael T. Montgomery, Wei Qiu, Ganquan Mao, Hans Richard Knoche, Sven Wagner, Johannes Quaas and Harrie‐Jan Hendricks Franssen and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Atmospheric chemistry and physics and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Stefanie Vogl

16 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefanie Vogl Germany	9	362	351	100	78	72	17	515
Manuel Fuentes United Kingdom	5	409 1.1×	436 1.2×	105 1.1×	57 0.7×	43 0.6×	5	515
Ralf Lindau Germany	12	327 0.9×	402 1.1×	132 1.3×	47 0.6×	65 0.9×	24	517
Beena Balan Sarojini United Kingdom	9	390 1.1×	392 1.1×	110 1.1×	41 0.5×	32 0.4×	18	550
Freja Vamborg United Kingdom	8	329 0.9×	358 1.0×	75 0.8×	40 0.5×	42 0.6×	11	482
Shiori Sugimoto Japan	15	489 1.4×	478 1.4×	79 0.8×	41 0.5×	34 0.5×	47	588
Soulivanh Thao France	13	267 0.7×	353 1.0×	83 0.8×	54 0.7×	55 0.8×	25	450
Shakeel Asharaf United States	10	473 1.3×	496 1.4×	123 1.2×	73 0.9×	159 2.2×	17	673
Linyong Wei China	15	329 0.9×	443 1.3×	53 0.5×	161 2.1×	113 1.6×	22	607
L. Haimberger Austria	3	339 0.9×	363 1.0×	69 0.7×	30 0.4×	43 0.6×	4	462
Bill Bell United Kingdom	6	442 1.2×	431 1.2×	100 1.0×	29 0.4×	54 0.8×	9	605

Countries citing papers authored by Stefanie Vogl

Since Specialization

Citations

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

Fields of papers citing papers by Stefanie Vogl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefanie Vogl

This figure shows the co-authorship network connecting the top 25 collaborators of Stefanie Vogl. A scholar is included among the top collaborators of Stefanie Vogl 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 Stefanie Vogl. Stefanie Vogl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Beck, Niels C., Jonas Dovern, & Stefanie Vogl. (2025). Mind the naive forecast! a rigorous evaluation of forecasting models for time series with low predictability. Applied Intelligence. 55(6). 1 indexed citations

Kunstmann, Harald, et al.. (2024). Temporal Super-Resolution, Ground Adjustment, and Advection Correction of Radar Rainfall Using 3-D-Convolutional Neural Networks. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–10. 1 indexed citations

Vogl, Stefanie, et al.. (2023). Orthogonal Procrustes and Machine Learning: Predicting Bill of Materials errors on time. Computers & Industrial Engineering. 185. 109606–109606.

Vogl, Stefanie, et al.. (2022). Modelling Precipitation Intensities from X-Band Radar Measurements Using Artificial Neural Networks—A Feasibility Study for the Bavarian Oberland Region. Water. 14(3). 276–276. 1 indexed citations

Vogl, Stefanie, et al.. (2022). Orthogonal Procrustes and Machine Learning: Predicting Bill of Material Errors on Time. SSRN Electronic Journal. 2 indexed citations

Vogl, Stefanie, et al.. (2022). Automated bat call classification using deep convolutional neural networks. Bioacoustics. 32(1). 1–16. 11 indexed citations

Vogl, Stefanie, et al.. (2021). Automatic Segregation of Pelagic Habitats. Frontiers in Marine Science. 8. 2 indexed citations

Mao, Ganquan, Stefanie Vogl, Patrick Laux, Sven Wagner, & Harald Kunstmann. (2015). Stochastic bias correction of dynamically downscaled precipitation fields for Germany through Copula-based integration of gridded observation data. Hydrology and earth system sciences. 19(4). 1787–1806. 68 indexed citations

Vogl, Stefanie, Patrick Laux, Wei Qiu, Ganquan Mao, & Harald Kunstmann. (2012). Copula-based assimilation of radar and gauge information to derive bias-corrected precipitation fields. Hydrology and earth system sciences. 16(7). 2311–2328. 49 indexed citations

10.

Warscher, Michael, et al.. (2012). Water balance estimation in high Alpine terrain by combining distributed modeling and a neural network approach (Berchtesgaden Alps, Germany). Hydrology and earth system sciences. 16(7). 1969–1990. 17 indexed citations

11.

Sanchez‐Lorenzo, Arturo, Patrick Laux, Harrie‐Jan Hendricks Franssen, et al.. (2012). Assessing large-scale weekly cycles in meteorological variables: a review. 2 indexed citations

12.

Sanchez‐Lorenzo, Arturo, Patrick Laux, Harrie‐Jan Hendricks Franssen, et al.. (2012). Assessing large-scale weekly cycles in meteorological variables: a review. Atmospheric chemistry and physics. 12(13). 5755–5771. 36 indexed citations

13.

Laux, Patrick, Stefanie Vogl, Wei Qiu, Hans Richard Knoche, & Harald Kunstmann. (2011). Copula-based statistical refinement of precipitation in RCM simulations over complex terrain. Hydrology and earth system sciences. 15(7). 2401–2419. 108 indexed citations

14.

Vogl, Stefanie & Roger K. Smith. (2009). Limitations of a linear model for the hurricane boundary layer. Quarterly Journal of the Royal Meteorological Society. 135(641). 839–850. 36 indexed citations

15.

Smith, Roger K. & Stefanie Vogl. (2008). A simple model of the hurricane boundary layer revisited. Quarterly Journal of the Royal Meteorological Society. 134(631). 337–351. 72 indexed citations

16.

Vogl, Stefanie. (2008). Eliassen's linear model for a vortex boundary layer applied to a hurricane. 1 indexed citations

17.

Smith, Roger K., Michael T. Montgomery, & Stefanie Vogl. (2008). A critique of Emanuel's hurricane model and potential intensity theory. Quarterly Journal of the Royal Meteorological Society. 134(632). 551–561. 108 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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