Daniel Landskron

906 total citations · 1 hit paper
10 papers, 567 citations indexed

About

Daniel Landskron is a scholar working on Aerospace Engineering, Oceanography and Astronomy and Astrophysics. According to data from OpenAlex, Daniel Landskron has authored 10 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Aerospace Engineering, 9 papers in Oceanography and 8 papers in Astronomy and Astrophysics. Recurrent topics in Daniel Landskron's work include GNSS positioning and interference (10 papers), Geophysics and Gravity Measurements (9 papers) and Ionosphere and magnetosphere dynamics (8 papers). Daniel Landskron is often cited by papers focused on GNSS positioning and interference (10 papers), Geophysics and Gravity Measurements (9 papers) and Ionosphere and magnetosphere dynamics (8 papers). Daniel Landskron collaborates with scholars based in Austria, Australia and Germany. Daniel Landskron's co-authors include Johannes Böhm, Gregor Möller, David J. Mayer, Hana Krásná, Matthias Schartner, Lucia McCallum, Kamil Teke, Torben Schüler and Thomas Klügel and has published in prestigious journals such as Astronomy and Astrophysics, Publications of the Astronomical Society of the Pacific and Advances in Space Research.

In The Last Decade

Daniel Landskron

10 papers receiving 552 citations

Hit Papers

VMF3/GPT3: refined discrete and empirical troposphere map... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Landskron Austria 6 495 479 332 49 49 10 567
Cuixian Lu China 14 581 1.2× 503 1.1× 374 1.1× 100 2.0× 43 0.9× 27 668
Cuixian Lu Germany 10 512 1.0× 396 0.8× 292 0.9× 68 1.4× 23 0.5× 19 560
Jan Kapłon Poland 12 392 0.8× 321 0.7× 261 0.8× 28 0.6× 24 0.5× 28 453
Ryuichi Ichikawa Japan 13 510 1.0× 390 0.8× 313 0.9× 60 1.2× 64 1.3× 60 610
Chaoqian Xu China 17 790 1.6× 680 1.4× 520 1.6× 94 1.9× 30 0.6× 59 862
Dezhong Chen China 12 420 0.8× 320 0.7× 245 0.7× 71 1.4× 9 0.2× 30 465
M Bloßfeld Germany 13 410 0.8× 446 0.9× 294 0.9× 45 0.9× 8 0.2× 51 526
Luca Cerri Italy 11 737 1.5× 600 1.3× 424 1.3× 195 4.0× 16 0.3× 27 838
Stefan Hackel Germany 11 489 1.0× 372 0.8× 337 1.0× 67 1.4× 24 0.5× 17 542
Yoke Yoon Germany 8 279 0.6× 181 0.4× 145 0.4× 25 0.5× 33 0.7× 13 327

Countries citing papers authored by Daniel Landskron

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Landskron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Landskron

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

All Works

10 of 10 papers shown
1.
Landskron, Daniel, et al.. (2020). VMF3o: the Vienna Mapping Functions for optical frequencies. Journal of Geodesy. 94(6). 57–57. 12 indexed citations
2.
Landskron, Daniel, et al.. (2020). Assessing the performance of Vienna Mapping Functions 3 for GNSS stations in Indonesia using Precise Point Positioning. Advances in geosciences. 50. 77–86. 5 indexed citations
3.
Möller, Gregor & Daniel Landskron. (2019). Atmospheric bending effects in GNSS tomography. Atmospheric measurement techniques. 12(1). 23–34. 22 indexed citations
4.
Landskron, Daniel, Johannes Böhm, Thomas Klügel, & Torben Schüler. (2019). Comparing atmospheric data and models at station Wettzell during CONT17. Advances in geosciences. 50. 1–7. 2 indexed citations
5.
Landskron, Daniel & Johannes Böhm. (2019). Improving dUT1 from VLBI intensive sessions with GRAD gradients and ray-traced delays. Advances in Space Research. 63(11). 3429–3435. 8 indexed citations
6.
Landskron, Daniel & Johannes Böhm. (2018). Refined discrete and empirical horizontal gradients in VLBI analysis. Journal of Geodesy. 92(12). 1387–1399. 54 indexed citations
7.
Böhm, Johannes, Hana Krásná, Daniel Landskron, et al.. (2018). Vienna VLBI and Satellite Software (VieVS) for Geodesy and Astrometry. Publications of the Astronomical Society of the Pacific. 130(986). 44503–44503. 50 indexed citations
8.
Mayer, David J., Johannes Böhm, Hana Krásná, & Daniel Landskron. (2017). Tropospheric delay modelling and the celestial reference frame at radio wavelengths. Astronomy and Astrophysics. 606. A143–A143. 5 indexed citations
9.
Landskron, Daniel & Johannes Böhm. (2017). VMF3/GPT3: refined discrete and empirical troposphere mapping functions. Journal of Geodesy. 92(4). 349–360. 408 indexed citations breakdown →
10.
Landskron, Daniel, et al.. (2015). Influence of the horizontal resolution of numerical weather models on ray-traced delays for VLBI analysis. 162–166. 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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