Andreas Kvas

1.4k total citations
39 papers, 805 citations indexed

About

Andreas Kvas is a scholar working on Oceanography, Aerospace Engineering and Molecular Biology. According to data from OpenAlex, Andreas Kvas has authored 39 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Oceanography, 21 papers in Aerospace Engineering and 18 papers in Molecular Biology. Recurrent topics in Andreas Kvas's work include Geophysics and Gravity Measurements (32 papers), Geomagnetism and Paleomagnetism Studies (18 papers) and GNSS positioning and interference (17 papers). Andreas Kvas is often cited by papers focused on Geophysics and Gravity Measurements (32 papers), Geomagnetism and Paleomagnetism Studies (18 papers) and GNSS positioning and interference (17 papers). Andreas Kvas collaborates with scholars based in Austria, Germany and Switzerland. Andreas Kvas's co-authors include Torsten Mayer‐Gürr, Norbert Zehentner, Saniya Behzadpour, Matthias Ellmer, Beate Klinger, Sebastian Strasser, Ulrich Meyer, Adrian Jäggi, Sandro Krauß and Frank Flechtner and has published in prestigious journals such as Scientific Reports, Geophysical Journal International and Hydrology and earth system sciences.

In The Last Decade

Andreas Kvas

34 papers receiving 791 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Kvas Austria 13 721 373 306 295 116 39 805
Norbert Zehentner Austria 11 686 1.0× 390 1.0× 320 1.0× 302 1.0× 71 0.6× 26 761
Matthias Ellmer United States 11 463 0.6× 228 0.6× 200 0.7× 195 0.7× 78 0.7× 19 520
Saniya Behzadpour Austria 10 465 0.6× 221 0.6× 202 0.7× 227 0.8× 68 0.6× 19 521
C. R. Wilson United States 8 583 0.8× 177 0.5× 229 0.7× 263 0.9× 174 1.5× 13 639
Karl-Hans Neumayer Germany 10 799 1.1× 438 1.2× 328 1.1× 403 1.4× 66 0.6× 13 904
Lucía Seoane France 14 391 0.5× 152 0.4× 144 0.5× 212 0.7× 125 1.1× 28 547
T. Pekker United States 5 440 0.6× 223 0.6× 141 0.5× 156 0.5× 77 0.7× 7 615
K. E. Rachlin United States 9 641 0.9× 273 0.7× 197 0.6× 295 1.0× 98 0.8× 11 792
Beate Klinger Austria 7 415 0.6× 182 0.5× 194 0.6× 191 0.6× 59 0.5× 15 459

Countries citing papers authored by Andreas Kvas

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Kvas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Kvas

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Kvas. A scholar is included among the top collaborators of Andreas Kvas 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 Andreas Kvas. Andreas Kvas 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.
Eicker, Annette, et al.. (2024). Kalman filter framework for a regional mass change model from GRACE satellite gravity. GEM - International Journal on Geomathematics. 16(1).
2.
Kvas, Andreas, Eva Boergens, Henryk Dobslaw, et al.. (2023). Evaluating long-term water storage trends in small catchments and aquifers from a joint inversion of 20 years of GRACE/GRACE-FO mission data. Geophysical Journal International. 236(2). 1002–1012. 6 indexed citations
3.
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
4.
Mayer‐Gürr, Torsten, Saniya Behzadpour, Annette Eicker, et al.. (2021). GROOPS: A software toolkit for gravity field recovery and GNSS processing. Computers & Geosciences. 155. 104864–104864. 34 indexed citations
5.
Kvas, Andreas, Jan Martin Brockmann, Sandro Krauß, et al.. (2021). GOCO06s – a satellite-only global gravity field model. Earth system science data. 13(1). 99–118. 105 indexed citations
6.
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
7.
Meyer, Ulrich, Adrian Jäggi, Torsten Mayer‐Gürr, et al.. (2020). Benchmark data for verifying background model implementations in orbit and gravity field determination software. Advances in geosciences. 55. 1–11. 3 indexed citations
8.
Eicker, Annette, Laura Jensen, Henryk Dobslaw, et al.. (2020). Daily GRACE satellite data evaluate short-term hydro-meteorological fluxes from global atmospheric reanalyses. Scientific Reports. 10(1). 4504–4504. 34 indexed citations
9.
Poropat, Lea, Andreas Kvas, Torsten Mayer‐Gürr, & Henryk Dobslaw. (2019). Mitigating temporal aliasing effects of high-frequency geophysical fluid dynamics in satellite gravimetry. Geophysical Journal International. 220(1). 257–266. 6 indexed citations
10.
Kvas, Andreas, Torsten Mayer‐Gürr, Jan Martin Brockmann, et al.. (2019). The combined satellite gravity field model GOCO06s. EGU General Assembly Conference Abstracts. 17241. 1 indexed citations
11.
Kvas, Andreas, Saniya Behzadpour, Matthias Ellmer, et al.. (2019). ITSG‐Grace2018: Overview and Evaluation of a New GRACE‐Only Gravity Field Time Series. Journal of Geophysical Research Solid Earth. 124(8). 9332–9344. 164 indexed citations
12.
Kvas, Andreas & Torsten Mayer‐Gürr. (2019). GRACE gravity field recovery with background model uncertainties. Journal of Geodesy. 93(12). 2543–2552. 28 indexed citations
13.
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
14.
Mayer‐Gürr, Torsten, Saniya Behzadpour, Matthias Ellmer, et al.. (2018). ITSG-Grace2018 - Monthly, Daily and Static Gravity Field Solutions from GRACE. Publication Database GFZ (GFZ German Research Centre for Geosciences). 104 indexed citations
15.
Mayer‐Gürr, Torsten, Norbert Zehentner, Sebastian Strasser, et al.. (2018). ITSG-Grace2018: The new GRACE Time Series from TU Graz. 2018. 7 indexed citations
16.
Kvas, Andreas, Christian Gruber, Ben Gouweleeuw, et al.. (2017). First results of the EGSIEM Near Real-Time Service. Publication Database GFZ (GFZ German Research Centre for Geosciences). 15174. 1 indexed citations
17.
Kvas, Andreas, et al.. (2017). Using Asymptotic Analysis for Developing a One-Dimensional Substance Transport Model in the Case of Spatial Heterogeneity. Moscow University Physics Bulletin. 72(6). 518–526. 1 indexed citations
18.
Mayer‐Gürr, Torsten, Saniya Behzadpour, Matthias Ellmer, et al.. (2016). ITSG-Grace2016 - Monthly and Daily Gravity Field Solutions from GRACE. 64 indexed citations
19.
Kvas, Andreas, Ben Gouweleeuw, Torsten Mayer‐Gürr, & Andreas Güntner. (2016). Near real-time GRACE gravity field solutions for hydrological monitoring applications. Publication Database GFZ (GFZ German Research Centre for Geosciences). 1 indexed citations
20.
Weigelt, Matthias, Frank Flechtner, Christian Gruber, et al.. (2015). European Gravity Service for Improved Emergency Management - Project Overview and First Results. AGUFM. 2015. 1 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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