Daniel Landskron

954 citations
10 papers · 607 · 1 hit paper · h-index 6

Impact in

Papers in

Daniel Landskron

10 papers receiving 594 citations

Daniel Landskron's Hit Papers

VMF3/GPT3: refined discrete and empirical troposphere mapping functions 2017 · 444 citations
4440+3+6Years since publication100200300400

Peers

Daniel Landskron
Comparison fields: 5 of 35
  • Oceanography 498
  • Aerospace Engineering 525
  • Astronomy and Astrophysics 342
  • Environmental Engineering 51
  • Atmospheric Science 49
Replace Cuixian Lu with:
Cuixian Lu China
Cuixian Lu Germany
Ryuichi Ichikawa Japan
Chaoqian Xu China
Per Jarlemark Sweden
Jan Kapłon Poland
Luca Cerri Italy
Pavel Václavovic Czechia
Dezhong Chen China
Rodrigo Leandro Canada
Daniel Landskron relative to Cuixian Lu China Cuixian Lu's profile →
Citations per field
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Cuixian Lu · 1×
Citations per year

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-authors

The 10 scholars most cited alongside Daniel Landskron, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Landskron Line = papers co-authored together Daniel Landskron links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
VMF3/GPT3: refined discrete and empirical troposphere mapping functions
Hit paper breakdown →
2017444
2 201855
3 201852
4 201922
5 202013
6 20198
7 20205
8 20175
9 20192
10
Influence of the horizontal resolution of numerical weather models on ray-traced delays for VLBI analysis
20151

About Daniel Landskron

Daniel Landskron is a scholar working on Aerospace Engineering, Oceanography, Astronomy and Astrophysics, Computer Vision and Pattern Recognition and Atmospheric Science, having authored 10 papers that have together received 607 indexed citations. Recurring topics across this work include GNSS positioning and interference (10 papers), Geophysics and Gravity Measurements (9 papers), Ionosphere and magnetosphere dynamics (8 papers), Image and Signal Denoising Methods (1 paper), Advanced Measurement and Metrology Techniques (1 paper) and Precipitation Measurement and Analysis (1 paper). The work is most often cited by research in Oceanography (498 citations), Aerospace Engineering (525 citations), Astronomy and Astrophysics (342 citations), Environmental Engineering (51 citations) and Atmospheric Science (49 citations). Daniel Landskron has collaborated with scholars based in Austria, Germany and Türkiye. Frequent co-authors include Johannes Böhm, Gregor Möller, David J. Mayer, Hana Krásná, Lucia McCallum, Matthias Schartner, Kamil Teke, Sigrid Böhm, Thomas Klügel and Torben Schüler. Their work appears in journals such as Journal of Geodesy, Advances in geosciences, Astronomy and Astrophysics, Publications of the Astronomical Society of the Pacific and Advances in Space Research.

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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