Leaderboards/GNSS positioning and interference

GNSS positioning and interference

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Behnam Khorrami
Dokuz Eylül University
2
Randa Natraš
Technical University of Munich
3
Jiafei Xu
Chinese Academy of Sciences
4
Anne Barnoud
Institut national de l’information géographique et forestière
5
Veton Hamza
University of Ljubljana
6
Nacer Naciri
Jet Propulsion Laboratory
7
Nabil Jardak
Institut Franco-Allemand de Recherches de Saint-Louis
8
Mostafa Kiani Shahvandi
University of Vienna
9
Rui Gao
Chinese Academy of Sciences
10
Chenyu Xue
University of Nottingham

Rising Stars Papers

1
Contributions of core, mantle and climatological processes to Earth’s polar motion
Nature Geoscience|2024
32 cit.
2
The increasingly dominant role of climate change on length of day variations
Proceedings of the National Academy of Sciences|2024
30 cit.
3
Precision in mapping and assessing mangrove Biomass: Insights from the Persian Gulf coasts
International Journal of Applied Earth Observation and Geoinformation|2024
20 cit.
4
A New Machine-Learning-Based Calibration Scheme for MODIS Thermal Infrared Water Vapor Product Using BPNN, GBDT, GRNN, KNN, MLPNN, RF, and XGBoost
IEEE Transactions on Geoscience and Remote Sensing|2024
19 cit.
5
BaHaMAs: a method for uncertainty quantification in geodetic time series and its application in short-term prediction of length of day
Earth Planets and Space|2024
16 cit.
6
Machine learning-based retrieval of total column water vapor over land using GMI-sensed passive microwave measurements
GIScience & Remote Sensing|2024
15 cit.
7
Optimizing ZWD estimation strategies for enhanced PPP-RTK performance
GPS Solutions|2024
14 cit.
8
Comprehensive comparison of different gridded precipitation products over geographic regions of Türkiye
Journal of Applied Remote Sensing|2024
13 cit.
9
Leveraging Multi-LEO Satellite Signals for Opportunistic Positioning
IEEE Access|2024
13 cit.
10
Length of Day Variations Explained in a Bayesian Framework
Geophysical Research Letters|2024
13 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Rui Tu
Shandong University of Science and Technology
2
Bijiao Sun
National Administration of Surveying, Mapping and Geoinformation of China
3
Yufei Yang
Beijing University of Technology
4
Xiaodong Ren
Wuhan University
5
Qusen Chen
Wuhan University
6
Benedikt Soja
ETH Zurich
7
Sampad Kumar Panda
Koneru Lakshmaiah Education Foundation
8
Yuanjin Pan
Nanjing University of Information Science and Technology
9
Julien Gazeaux
Institut national de l’information géographique et forestière
10
Kunlun Zhang
Jilin University

Emerging Leaders Papers

1
Principle and performance of BDSBAS and PPP-B2b of BDS-3
Satellite Navigation|2022
144 cit.
2
GNSS observable-specific phase biases for all-frequency PPP ambiguity resolution
Journal of Geodesy|2022
98 cit.
3
Deep Learning for Global Ionospheric TEC Forecasting: Different Approaches and Validation
Space Weather|2022
77 cit.
4
Demand and key technology for a LEO constellation as augmentation of satellite navigation systems
Satellite Navigation|2024
77 cit.
5
Global high-resolution total water storage anomalies from self-supervised data assimilation using deep learning algorithms
Nature Water|2024
70 cit.
6
Development trends of the national secure PNT system based on BDS
Science China Earth Sciences|2023
67 cit.
7
Neural ODE Differential Learning and Its Application in Polar Motion Prediction
Journal of Geophysical Research Solid Earth|2022
57 cit.
8
Inclusion of data uncertainty in machine learning and its application in geodetic data science, with case studies for the prediction of Earth orientation parameters and GNSS station coordinate time series
Advances in Space Research|2022
50 cit.
9
Global Ionospheric TEC Forecasting for Geomagnetic Storm Time Using a Deep Learning‐Based Multi‐Model Ensemble Method
Space Weather|2023
50 cit.
10
Ionospheric TEC Forecasting over an Indian Low Latitude Location Using Long Short-Term Memory (LSTM) Deep Learning Network
Universe|2022
40 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Harald Schuh
GeoInformation (United Kingdom)
2
Jeffrey Uhlmann
University of Missouri
3
J. S. Famiglietti
Arizona State University
4
Chris Rizos
UNSW Sydney
5
P. J. G. Teunissen
The University of Melbourne
6
Jingnan Liu
Wuhan University
7
Jens Wickert
GFZ Helmholtz Centre for Geosciences
8
Xiaohong Zhang
Hunan Institute of Science and Technology
9
Yang Gao
University of Calgary
10
B. W. Reinisch
University of Massachusetts Lowell

Current Senior Leaders Papers

1
Unscented Filtering and Nonlinear Estimation
Proceedings of the IEEE|2004
6.5k cit.
2
New extension of the Kalman filter to nonlinear systems
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE|1997
5.3k cit.
3
Satellite-based estimates of groundwater depletion in India
Nature|2009
2.9k cit.
4
The global groundwater crisis
Nature Climate Change|2014
1.8k cit.
5
The least-squares ambiguity decorrelation adjustment: a method for fast GPS integer ambiguity estimation
Journal of Geodesy|1995
1.8k cit.
6
Global Mapping Function (GMF): A new empirical mapping function based on numerical weather model data
Geophysical Research Letters|2006
1.5k cit.
7
The International GNSS Service in a changing landscape of Global Navigation Satellite Systems
Journal of Geodesy|2009
1.5k cit.
8
Troposphere mapping functions for GPS and very long baseline interferometry from European Centre for Medium‐Range Weather Forecasts operational analysis data
Journal of Geophysical Research Atmospheres|2006
1.2k cit.
9
International Reference Ionosphere 2007: Improvements and new parameters
Advances in Space Research|2008
1.1k cit.
10
A non-divergent estimation algorithm in the presence of unknown correlations
Unknown Journal|1997
982 cit.

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