Frank Flechtner

7.8k total citations · 1 hit paper
121 papers, 3.7k citations indexed

About

Frank Flechtner is a scholar working on Oceanography, Aerospace Engineering and Astronomy and Astrophysics. According to data from OpenAlex, Frank Flechtner has authored 121 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Oceanography, 68 papers in Aerospace Engineering and 57 papers in Astronomy and Astrophysics. Recurrent topics in Frank Flechtner's work include Geophysics and Gravity Measurements (114 papers), GNSS positioning and interference (56 papers) and Geomagnetism and Paleomagnetism Studies (43 papers). Frank Flechtner is often cited by papers focused on Geophysics and Gravity Measurements (114 papers), GNSS positioning and interference (56 papers) and Geomagnetism and Paleomagnetism Studies (43 papers). Frank Flechtner collaborates with scholars based in Germany, France and China. Frank Flechtner's co-authors include Christoph Dahle, Christoph Förste, Franz Barthelmes, Roland Schmidt, R. Biancale, Karl-Hans Neumayer, Rolf König, Henryk Dobslaw, Sean Bruinsma and Ulrich Meyer and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Earth and Planetary Science Letters and Geophysical Research Letters.

In The Last Decade

Frank Flechtner

112 papers receiving 3.6k citations

Hit Papers

EIGEN-6C4 The latest comb... 2014 2026 2018 2022 2014 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Frank Flechtner 3.1k 1.5k 1.3k 1.3k 696 121 3.7k
R. Biancale 3.2k 1.0× 1.7k 1.1× 1.2k 0.9× 1.5k 1.2× 913 1.3× 85 4.3k
Ch. Reigber 2.7k 0.9× 1.6k 1.1× 1.1k 0.8× 2.1k 1.6× 1.2k 1.7× 78 4.5k
Shin‐Chan Han 2.3k 0.7× 885 0.6× 1.0k 0.8× 980 0.8× 890 1.3× 105 3.1k
Minkang Cheng 2.3k 0.7× 1.3k 0.8× 783 0.6× 916 0.7× 617 0.9× 40 2.8k
Nikolaos K. Pavlis 2.5k 0.8× 1.3k 0.9× 898 0.7× 678 0.5× 1.0k 1.5× 32 3.5k
Jean‐Michel Lemoine 2.1k 0.7× 1.0k 0.7× 777 0.6× 898 0.7× 545 0.8× 71 2.6k
Roland Pail 2.8k 0.9× 1.4k 1.0× 1.4k 1.1× 784 0.6× 988 1.4× 173 3.4k
Sean Bruinsma 2.9k 0.9× 1.5k 1.0× 1.8k 1.4× 3.7k 2.8× 1.1k 1.6× 136 5.6k
Benjamin F. Chao 3.0k 1.0× 823 0.5× 1.2k 0.9× 1.2k 1.0× 912 1.3× 166 4.2k
Tonie van Dam 3.7k 1.2× 2.7k 1.8× 742 0.6× 1.2k 1.0× 1.0k 1.5× 129 4.8k

Countries citing papers authored by Frank Flechtner

Since Specialization
Citations

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

Fields of papers citing papers by Frank Flechtner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Flechtner

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Flechtner. A scholar is included among the top collaborators of Frank Flechtner 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 Frank Flechtner. Frank Flechtner 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.
Dahle, Christoph, Eva Boergens, Ingo Sasgen, et al.. (2025). GravIS: mass anomaly products from satellite gravimetry. Earth system science data. 17(2). 611–631. 1 indexed citations
2.
Balidakis, Kyriakos, et al.. (2024). Accounting for residual errors in atmosphere–ocean background models applied in satellite gravimetry. Journal of Geodesy. 98(4). 5 indexed citations
3.
Voigt, Christian, Henryk Dobslaw, A. Weise, et al.. (2024). Non‐Tidal Ocean Loading Signals of the North and Baltic Sea From Terrestrial Gravimetry, GNSS, and High‐Resolution Modeling. Geophysical Research Letters. 51(13).
4.
Hart‐Davis, Michael, et al.. (2023). Satellite Gravity Field Recovery Using Variance‐Covariance Information From Ocean Tide Models. Earth and Space Science. 10(10). 3 indexed citations
5.
Voigt, Christian, Ludger Timmen, Henryk Dobslaw, et al.. (2023). A superconducting gravimeter on the island of Heligoland for the high-accuracy determination of regional ocean tide loading signals of the North Sea. Geophysical Journal International. 234(3). 1585–1602. 1 indexed citations
6.
Murböck, Michael, et al.. (2023). In-Orbit Performance of the GRACE Accelerometers and Microwave Ranging Instrument. Remote Sensing. 15(3). 563–563. 8 indexed citations
7.
Boergens, Eva, Andreas Kvas, Annette Eicker, et al.. (2022). Uncertainties of GRACE‐Based Terrestrial Water Storage Anomalies for Arbitrary Averaging Regions. Journal of Geophysical Research Solid Earth. 127(2). 23 indexed citations
8.
Voigt, Christian, Karsten Schulz, Franziska Koch, et al.. (2021). Introduction of a Superconducting Gravimeter as Novel HydrologicalSensor for the Alpine Research Catchment Zugspitze. 2 indexed citations
9.
Voigt, Christian, Karsten Schulz, Franziska Koch, et al.. (2021). Technical note: Introduction of a superconducting gravimeter as novel hydrological sensor for the Alpine research catchment Zugspitze. Hydrology and earth system sciences. 25(9). 5047–5064. 15 indexed citations
10.
Boergens, Eva, Henryk Dobslaw, Robert Dill, et al.. (2020). Modelling spatial covariances for terrestrial water storage variations verified with synthetic GRACE-FO data. GEM - International Journal on Geomathematics. 11(1). 15 indexed citations
11.
Dobslaw, Henryk, Robert Dill, Meike Bagge, et al.. (2020). Gravitationally Consistent Mean Barystatic Sea Level Rise From Leakage‐Corrected Monthly GRACE Data. Journal of Geophysical Research Solid Earth. 125(11). 27 indexed citations
12.
Förste, Christoph, Franz Barthelmes, Svetozar Petrović, et al.. (2020). Using real polar ground gravimetry data to solve the GOCE polar gap problem in satellite-only gravity field recovery. Journal of Geodesy. 94(3). 5 indexed citations
13.
Meyer, Ulrich, C. Dahle, Frank Flechtner, et al.. (2020). International Combination Service for Time-variable Gravity Fields (COST-G) Monthly GRACE-FO Series. 8 indexed citations
14.
Dahle, Christoph, Michael Murböck, Frank Flechtner, et al.. (2019). The GFZ GRACE RL06 Monthly Gravity Field Time Series: Processing Details and Quality Assessment. Remote Sensing. 11(18). 2116–2116. 88 indexed citations
16.
Gouweleeuw, Ben, Andreas Kvas, Christian Gruber, et al.. (2018). Daily GRACE gravity field solutions track major flood events in the Ganges–Brahmaputra Delta. Hydrology and earth system sciences. 22(5). 2867–2880. 66 indexed citations
17.
Dahle, Christoph, Frank Flechtner, Michael Murböck, et al.. (2018). GRACE-FO Geopotential GSM Coefficients GFZ RL06. 9 indexed citations
18.
Barthelmes, Franz, Svetozar Petrović, Christoph Förste, et al.. (2017). Airborne Gravimetry of GEOHALO Mission: Data Processing and Gravity Field Modeling. Journal of Geophysical Research Solid Earth. 122(12). 26 indexed citations
19.
Zhong, Bo, Hao Zhou, Frank Flechtner, et al.. (2017). The gravity field model IGGT_R1 based on the second invariant of the GOCE gravitational gradient tensor. Journal of Geodesy. 92(5). 561–572. 19 indexed citations
20.
He, Kaifei, Tianhe Xu, Christoph Förste, et al.. (2016). GNSS Precise Kinematic Positioning for Multiple Kinematic Stations Based on A Priori Distance Constraints. Sensors. 16(4). 470–470. 11 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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