Robert Dill

3.0k total citations
68 papers, 2.1k citations indexed

About

Robert Dill is a scholar working on Oceanography, Astronomy and Astrophysics and Molecular Biology. According to data from OpenAlex, Robert Dill has authored 68 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Oceanography, 23 papers in Astronomy and Astrophysics and 19 papers in Molecular Biology. Recurrent topics in Robert Dill's work include Geophysics and Gravity Measurements (45 papers), Geomagnetism and Paleomagnetism Studies (19 papers) and Solar and Space Plasma Dynamics (18 papers). Robert Dill is often cited by papers focused on Geophysics and Gravity Measurements (45 papers), Geomagnetism and Paleomagnetism Studies (19 papers) and Solar and Space Plasma Dynamics (18 papers). Robert Dill collaborates with scholars based in Germany, United States and Poland. Robert Dill's co-authors include Henryk Dobslaw, Francis P. Shepard, Maik Thomas, Inga Bergmann-Wolf, Randolph P. Steinen, Eugene A. Shinn, Frank Flechtner, Anthony T. Jones, Kevin M. Kelly and Volker Klemann and has published in prestigious journals such as Nature, Science and Journal of Geophysical Research Atmospheres.

In The Last Decade

Robert Dill

66 papers receiving 2.0k citations

Author Peers

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

Author Last Decade Papers Cites
Robert Dill 1.3k 648 525 493 456 68 2.1k
Hansheng Wang 809 0.6× 624 1.0× 160 0.3× 1.1k 2.3× 207 0.5× 99 2.2k
R. Drummond 1.1k 0.9× 299 0.5× 193 0.4× 1.6k 3.2× 208 0.5× 19 2.6k
Holger Steffen 960 0.7× 300 0.5× 143 0.3× 947 1.9× 251 0.6× 89 2.2k
Erik R. Ivins 1.8k 1.4× 488 0.8× 372 0.7× 2.2k 4.4× 481 1.1× 85 4.0k
Jean‐Paul Boy 2.0k 1.5× 1.0k 1.6× 597 1.1× 286 0.6× 533 1.2× 106 2.6k
Marcus G. Langseth 392 0.3× 227 0.4× 607 1.2× 1.0k 2.0× 311 0.7× 72 4.1k
Maik Thomas 1.3k 1.0× 397 0.6× 454 0.9× 575 1.2× 559 1.2× 97 2.0k
Marie‐Noëlle Bouin 1.6k 1.2× 897 1.4× 410 0.8× 605 1.2× 65 0.1× 70 2.4k
Shin‐Chan Han 2.3k 1.7× 885 1.4× 980 1.9× 249 0.5× 1.0k 2.2× 105 3.1k
Reinhard Dietrich 1.3k 0.9× 782 1.2× 499 1.0× 1.3k 2.5× 173 0.4× 111 2.5k

Countries citing papers authored by Robert Dill

Since Specialization
Citations

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

Fields of papers citing papers by Robert Dill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Dill

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Dill. A scholar is included among the top collaborators of Robert Dill 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 Robert Dill. Robert Dill 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.
Jensen, Laura, Robert Dill, Kyriakos Balidakis, et al.. (2025). Global 0.05° water storage simulations with the OS LISFLOOD hydrological model for geodetic applications. Geophysical Journal International. 241(3). 1840–1852. 1 indexed citations
3.
4.
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
5.
6.
Shahvandi, Mostafa Kiani, Robert Dill, Henryk Dobslaw, et al.. (2023). Geophysically Informed Machine Learning for Improving Rapid Estimation and Short‐Term Prediction of Earth Orientation Parameters. Journal of Geophysical Research Solid Earth. 128(10). 17 indexed citations
7.
Balidakis, Kyriakos, et al.. (2022). Atmospheric Contributions to Global Ocean Tides for Satellite Gravimetry. Journal of Advances in Modeling Earth Systems. 14(11). 8 indexed citations
8.
Balidakis, Kyriakos, Robert Dill, Christoph Dahle, et al.. (2022). Non‐Tidal Background Modeling for Satellite Gravimetry Based on Operational ECWMF and ERA5 Reanalysis Data: AOD1B RL07. Journal of Geophysical Research Solid Earth. 127(8). 19 indexed citations
9.
Dill, Robert, Jan Saynisch‐Wagner, Christopher Irrgang, & Maik Thomas. (2021). Improving Atmospheric Angular Momentum Forecasts by Machine Learning. Earth and Space Science. 8(12). 10 indexed citations
10.
Kłos, Anna, Henryk Dobslaw, Robert Dill, & Janusz Bogusz. (2021). Identifying the sensitivity of GPS to non-tidal loadings at various time resolutions: examining vertical displacements from continental Eurasia. GPS Solutions. 25(3). 25 indexed citations
11.
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
12.
Dill, Robert, Henryk Dobslaw, M Bloßfeld, et al.. (2020). Evaluating Processing Choices for the Geodetic Estimation of Earth Orientation Parameters With Numerical Models of Global Geophysical Fluids. Journal of Geophysical Research Solid Earth. 125(9). 10 indexed citations
13.
Irrgang, Christopher, et al.. (2020). Self‐Validating Deep Learning for Recovering Terrestrial Water Storage From Gravity and Altimetry Measurements. Geophysical Research Letters. 47(17). 15 indexed citations
14.
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
15.
Nastula, Jolanta, et al.. (2020). Evaluating Gravimetric Polar Motion Excitation Estimates from the RL06 GRACE Monthly-Mean Gravity Field Models. Remote Sensing. 12(6). 930–930. 12 indexed citations
16.
Dill, Robert & Henryk Dobslaw. (2019). Seasonal variations in global mean sea level and consequences on the excitation of length-of-day changes. Geophysical Journal International. 218(2). 801–816. 14 indexed citations
17.
Dill, Robert, Henryk Dobslaw, & Maik Thomas. (2018). Improved 90-day Earth orientation predictions from angular momentum forecasts of atmosphere, ocean, and terrestrial hydrosphere. Journal of Geodesy. 93(3). 287–295. 56 indexed citations
18.
Dill, Robert, Volker Klemann, & Henryk Dobslaw. (2018). Relocation of River Storage From Global Hydrological Models to Georeferenced River Channels for Improved Load‐Induced Surface Displacements. Journal of Geophysical Research Solid Earth. 123(8). 7151–7164. 15 indexed citations
19.
Dobslaw, Henryk, et al.. (2017). Validation of terrestrial water storage variations as simulated by different global numerical models with GRACE satellite observations. Hydrology and earth system sciences. 21(2). 821–837. 49 indexed citations
20.
Dill, Robert. (2008). Hydrological model LSDM for operational Earth rotation and gravity field variations. Publication Database GFZ (GFZ German Research Centre for Geosciences). 1–35. 83 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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