Harald Schuh

13.9k total citations · 5 hit papers
364 papers, 9.5k citations indexed

About

Harald Schuh is a scholar working on Aerospace Engineering, Oceanography and Astronomy and Astrophysics. According to data from OpenAlex, Harald Schuh has authored 364 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 296 papers in Aerospace Engineering, 288 papers in Oceanography and 197 papers in Astronomy and Astrophysics. Recurrent topics in Harald Schuh's work include Geophysics and Gravity Measurements (286 papers), GNSS positioning and interference (280 papers) and Ionosphere and magnetosphere dynamics (167 papers). Harald Schuh is often cited by papers focused on Geophysics and Gravity Measurements (286 papers), GNSS positioning and interference (280 papers) and Ionosphere and magnetosphere dynamics (167 papers). Harald Schuh collaborates with scholars based in Germany, China and Austria. Harald Schuh's co-authors include J. Boehm, Maorong Ge, Jens Wickert, Robert Heinkelmann, A. E. Niell, Paul Tregoning, Xingxing Li, Johannes Böhm, Xiaodong Ren and M. Fritsche and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Harald Schuh

333 papers receiving 9.0k citations

Hit Papers

Global Mapping Function (GMF): A new empirical mapping fu... 2006 2026 2012 2019 2006 2006 2007 2015 2015 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harald Schuh Germany 44 7.8k 6.7k 4.9k 1.4k 953 364 9.5k
Chuang Shi China 41 5.5k 0.7× 3.7k 0.6× 3.0k 0.6× 1.1k 0.8× 1.1k 1.1× 251 7.0k
Markus Rothacher Switzerland 40 4.9k 0.6× 4.1k 0.6× 3.1k 0.6× 1.0k 0.7× 842 0.9× 180 6.0k
Jingnan Liu China 41 4.7k 0.6× 2.9k 0.4× 2.1k 0.4× 1.1k 0.8× 1.5k 1.5× 243 6.7k
Oliver Montenbruck Germany 50 10.2k 1.3× 5.9k 0.9× 6.4k 1.3× 2.2k 1.6× 175 0.2× 305 11.3k
Jens Wickert Germany 53 5.8k 0.7× 4.8k 0.7× 5.1k 1.1× 713 0.5× 904 0.9× 299 9.1k
Maorong Ge Germany 48 7.4k 0.9× 5.4k 0.8× 3.9k 0.8× 1.7k 1.2× 648 0.7× 166 8.0k
Peter Steigenberger Germany 42 5.8k 0.7× 4.5k 0.7× 3.6k 0.7× 1.6k 1.2× 301 0.3× 153 6.3k
Rolf Dach Switzerland 37 4.3k 0.6× 3.6k 0.5× 2.6k 0.5× 1.3k 1.0× 640 0.7× 172 5.5k
M. M. Watkins United States 29 5.1k 0.7× 7.8k 1.2× 5.3k 1.1× 651 0.5× 1.9k 2.0× 94 11.8k
Urs Hugentobler Germany 37 4.6k 0.6× 3.6k 0.5× 3.0k 0.6× 1.2k 0.9× 594 0.6× 201 5.5k

Countries citing papers authored by Harald Schuh

Since Specialization
Citations

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

Fields of papers citing papers by Harald Schuh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harald Schuh

This figure shows the co-authorship network connecting the top 25 collaborators of Harald Schuh. A scholar is included among the top collaborators of Harald Schuh 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 Harald Schuh. Harald Schuh 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.
Kondrashov, Dmitri, et al.. (2025). Correlation of atmospheric CO2 level changes with geophysical and atmospheric indices. Advances in Space Research. 76(7). 3946–3962.
2.
Alizadeh, Mahdi, et al.. (2024). Early detection of Tonga volcanic-eruption from internal gravity wave effects on ionosphere, using satellite geodetic techniques. Journal of Atmospheric and Solar-Terrestrial Physics. 262. 106310–106310. 3 indexed citations
3.
Heinkelmann, Robert, Santiago Belda, Harald Schuh, et al.. (2024). Combining evolutionary computation with machine learning technique for improved short-term prediction of UT1-UTC and length-of-day. Earth Planets and Space. 76(1). 3 indexed citations
4.
Shahvandi, Mostafa Kiani, Surendra Adhikari, Mathieu Dumberry, et al.. (2024). Contributions of core, mantle and climatological processes to Earth’s polar motion. Nature Geoscience. 17(7). 705–710. 17 indexed citations
5.
Nie, Liangwei, et al.. (2024). Impact of LEO configuration on GPS precise orbit determination with un-differenced ambiguity resolution. GPS Solutions. 29(1). 2 indexed citations
6.
7.
Glaser, Susanne, et al.. (2023). On the improvement of the sensitivity levels of VLBI solutions from a combination with GNSS. Advances in Space Research. 72(8). 3037–3047. 1 indexed citations
8.
Xu, Minghui, et al.. (2021). Imaging VGOS Observations and Investigating Source Structure Effects. Journal of Geophysical Research Solid Earth. 126(4). 9 indexed citations
9.
Wu, Zhilu, Yanxiong Liu, Yang Liu, et al.. (2020). Validating HY-2A CMR precipitable water vapor using ground-based and shipborne GNSS observations. Atmospheric measurement techniques. 13(9). 4963–4972. 17 indexed citations
10.
Fu, Wenju, Guanwen Huang, Yuanxi Yang, et al.. (2019). Multi-GNSS Combined Precise Point Positioning Using Additional Observations with Opposite Weight for Real-Time Quality Control. Remote Sensing. 11(3). 311–311. 6 indexed citations
11.
Wang, Jungang, Zhilu Wu, Maximilian Semmling, et al.. (2019). Retrieving Precipitable Water Vapor From Shipborne Multi‐GNSS Observations. Geophysical Research Letters. 46(9). 5000–5008. 56 indexed citations
12.
Balidakis, Kyriakos, et al.. (2018). Long-Term Evaluation of Ocean Tidal Variation Models of Polar Motion and UT1. Pure and Applied Geophysics. 175(5). 1611–1629. 1 indexed citations
13.
Heinkelmann, Robert, et al.. (2016). The extension of the parametrization of the radio source coordinates in geodetic VLBI and its impact on the time series analysis. Journal of Geodesy. 91(7). 755–765. 3 indexed citations
14.
Behrend, Dirk, et al.. (2013). The VLBI2010 Global Observing System (VGOS). Publication Database GFZ (GFZ German Research Centre for Geosciences). 3 indexed citations
15.
Li, Xingxing, Maorong Ge, Yong Zhang, et al.. (2013). Real-time coseismic displacements from tightly-integrated processing of high-rate GNSS and strong motion data. Publication Database GFZ (GFZ German Research Centre for Geosciences). 1 indexed citations
16.
Krásná, Hana, et al.. (2012). Solid Earth Tide Parameters from VLBI Measurements and FCN Analysis. Information Visualization. 405–409. 2 indexed citations
17.
Teke, Kamil, et al.. (2007). Comparison and Cut off Angle Tests for Observed and Simulated CONT05 Sessions. 122–128. 1 indexed citations
18.
Kosek, W., et al.. (2007). Current Results of the Earth Orientation Parameters Prediction Comparison Campaign. AGUFM. 2007. 159. 4 indexed citations
19.
Krankowski, Andrzej, et al.. (2006). Wavelet analysis in TEC measurements obtained using dual-frequency space and satellite techniques. 290. 1 indexed citations
20.
Kołaczek, B., Harald Schuh, & D. Gambis. (2000). High frequency to subseasonal variations in Earth Rotation. 28. 5 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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