Roland Hohensinn

1.4k total citations · 1 hit paper
18 papers, 1.0k citations indexed

About

Roland Hohensinn is a scholar working on Aerospace Engineering, Oceanography and Environmental Engineering. According to data from OpenAlex, Roland Hohensinn has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Aerospace Engineering, 7 papers in Oceanography and 4 papers in Environmental Engineering. Recurrent topics in Roland Hohensinn's work include GNSS positioning and interference (12 papers), Geophysics and Gravity Measurements (7 papers) and Inertial Sensor and Navigation (7 papers). Roland Hohensinn is often cited by papers focused on GNSS positioning and interference (12 papers), Geophysics and Gravity Measurements (7 papers) and Inertial Sensor and Navigation (7 papers). Roland Hohensinn collaborates with scholars based in Switzerland, Austria and United States. Roland Hohensinn's co-authors include Wolfgang Wagner, Christoph Paulik, Sebastian Hahn, P.J. van Oevelen, Wouter Dorigo, Matthias Drusch, Thomas J. Jackson, Susanne Mecklenburg, Alan Robock and Angelika Xaver and has published in prestigious journals such as Sensors, Bulletin of the Seismological Society of America and Remote Sensing.

In The Last Decade

Roland Hohensinn

16 papers receiving 1.0k citations

Hit Papers

The International Soil Moisture Network: a data hosting f... 2011 2026 2016 2021 2011 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roland Hohensinn Switzerland 8 774 656 257 169 137 18 1.0k
Philippe Richaume France 20 1.4k 1.9× 1.2k 1.8× 210 0.8× 198 1.2× 254 1.9× 48 1.6k
Jean-Michel Martinuzzi France 4 1.2k 1.6× 1.1k 1.6× 209 0.8× 165 1.0× 245 1.8× 6 1.4k
Menglei Han China 11 877 1.1× 997 1.5× 178 0.7× 376 2.2× 63 0.5× 16 1.3k
Ramata Magagi Canada 23 1.3k 1.7× 944 1.4× 123 0.5× 184 1.1× 568 4.1× 64 1.6k
A. Monerris Spain 17 1.0k 1.3× 716 1.1× 115 0.4× 62 0.4× 388 2.8× 53 1.1k
A. Hahne Netherlands 5 1.5k 1.9× 1.4k 2.1× 216 0.8× 298 1.8× 274 2.0× 16 1.9k
R. S. Dunbar United States 17 744 1.0× 1.1k 1.6× 85 0.3× 170 1.0× 141 1.0× 61 1.5k
A.Y. Hsu United States 17 1.5k 1.9× 1.2k 1.9× 205 0.8× 365 2.2× 443 3.2× 47 1.7k
Jakob van Zyl United States 8 417 0.5× 250 0.4× 55 0.2× 62 0.4× 303 2.2× 13 663
Qingyun Yan China 17 885 1.1× 673 1.0× 31 0.1× 145 0.9× 289 2.1× 74 1.2k

Countries citing papers authored by Roland Hohensinn

Since Specialization
Citations

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

Fields of papers citing papers by Roland Hohensinn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roland Hohensinn

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

All Works

18 of 18 papers shown
1.
Hohensinn, Roland, Claire E. Bulgin, M G Cox, et al.. (2026). A Unified Framework for Trend Uncertainty Assessment in Climate Data Records: Demonstration on Global Mean Sea Level. Surveys in Geophysics.
2.
Tatsis, Konstantinos, et al.. (2024). Unscented Kalman Filter–Based Fusion of GNSS, Accelerometer, and Rotation Sensors for Motion Tracking. Journal of Structural Engineering. 150(7). 3 indexed citations
3.
Hohensinn, Roland, et al.. (2024). Sensitivity of GNSS to vertical land motion over Europe: effects of geophysical loadings and common-mode errors. Journal of Geodesy. 98(7). 1 indexed citations
4.
Shahvandi, Mostafa Kiani, et al.. (2023). Ultra-short-term prediction of LOD using LSTM neural networks. Journal of Geodesy. 97(5). 23 indexed citations
5.
Hohensinn, Roland, et al.. (2023). MPG-NET: A low-cost, multi-purpose GNSS co-location station network for environmental monitoring. Measurement. 216. 112981–112981. 9 indexed citations
6.
Hohensinn, Roland, et al.. (2023). Estimation of tropospheric parameters with GNSS smartphones in a differential approach. Measurement Science and Technology. 34(9). 95126–95126. 7 indexed citations
7.
Hohensinn, Roland, et al.. (2022). Low-Cost GNSS and Real-Time PPP: Assessing the Precision of the u-blox ZED-F9P for Kinematic Monitoring Applications. Remote Sensing. 14(20). 5100–5100. 32 indexed citations
8.
Guillaume, Sébastien, et al.. (2022). Optimization of Safety Critical IFR Helicopter Trajectories in Alpine Areas using MILP. IEEE Transactions on Aerospace and Electronic Systems. 1–12.
9.
Hohensinn, Roland, et al.. (2021). Modeling of Residual GNSS Station Motions through Meteorological Data in a Machine Learning Approach. Remote Sensing. 14(1). 17–17. 4 indexed citations
10.
Shahvandi, Mostafa Kiani, et al.. (2021). Ultra-short-term prediction of LOD using LSTM neural networks. Repository for Publications and Research Data (ETH Zurich). 3 indexed citations
11.
Hohensinn, Roland, et al.. (2021). Low-cost vs. Geodetic-grade GNSS Instrumentation: Geomonitoring with High-rate and Real-time PPP. Proceedings of the Satellite Division's International Technical Meeting (Online). 3990–4001. 6 indexed citations
12.
Hohensinn, Roland, et al.. (2020). Dynamic displacements from high-rate GNSS: Error modeling and vibration detection. Measurement. 157. 107655–107655. 21 indexed citations
13.
Dahmen, Nikolaj, Roland Hohensinn, & John Clinton. (2020). Comparison and Combination of GNSS and Strong-Motion Observations: A Case Study of the 2016 Mw 7.0 Kumamoto Earthquake. Bulletin of the Seismological Society of America. 110(6). 2647–2660. 11 indexed citations
14.
Hohensinn, Roland, et al.. (2019). Movement Detection Based on High-Precision Estimates of Instantaneous GNSS Station Velocity. Journal of Surveying Engineering. 145(3). 2 indexed citations
15.
Hohensinn, Roland, Alain Geiger, & Michael Meindl. (2018). Minimum Detectable Velocity Based on GNSS Doppler Phase Observables. 23003. 121–128. 4 indexed citations
16.
Hohensinn, Roland & Alain Geiger. (2018). Stand-Alone GNSS Sensors as Velocity Seismometers: Real-Time Monitoring and Earthquake Detection. Sensors. 18(11). 3712–3712. 16 indexed citations
17.
Dorigo, Wouter, Wolfgang Wagner, Roland Hohensinn, et al.. (2011). The International Soil Moisture Network: a data hosting facility for global in situ soil moisture measurements. Hydrology and earth system sciences. 15(5). 1675–1698. 878 indexed citations breakdown →
18.
Dorigo, Wouter, Sebastian Hahn, Roland Hohensinn, et al.. (2010). The International Soil Moisture Network - A data hosting facility for in situ soil moisture measurements in support of SMOS cal/val. EGU General Assembly Conference Abstracts. 12063. 3 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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