A. Rhodin

1.4k total citations · 1 hit paper
22 papers, 954 citations indexed

About

A. Rhodin is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, A. Rhodin has authored 22 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atmospheric Science, 11 papers in Global and Planetary Change and 4 papers in Environmental Engineering. Recurrent topics in A. Rhodin's work include Meteorological Phenomena and Simulations (13 papers), Climate variability and models (10 papers) and Ionosphere and magnetosphere dynamics (3 papers). A. Rhodin is often cited by papers focused on Meteorological Phenomena and Simulations (13 papers), Climate variability and models (10 papers) and Ionosphere and magnetosphere dynamics (3 papers). A. Rhodin collaborates with scholars based in Germany, United Kingdom and Japan. A. Rhodin's co-authors include Luis Kornblueh, Roland Potthast, Monika Esch, Ingo Kirchner, E. Roeckner, Ulrich Schlese, Adrian M. Tompkins, Stefan Hagemann, Renate Brokopf and M. A. Giorgetta and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Hydrology and Monthly Weather Review.

In The Last Decade

A. Rhodin

21 papers receiving 928 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The atmospheric general circulation model ECHAM 5. PART I: Model description

2003 541 citations E. Roeckner, Georg Bäuml et al. Max Planck Digital Library profile →

Peers

A. Rhodin

AS

GPC

OCEAN

EE

AA

Almut Gaßmann Germany

Chungu Lu United States

Meta Sienkiewicz United States

Laurence J. Wilson Canada

Terry Davies United Kingdom

Elías Hólm United Kingdom

Michel Desbois France

Jacinta Holloway Australia

Shinji Kadokura Japan

Franklin R. Robertson United States

Almut Gaßmann Germany

A. Rhodin

850 ×1.1

AS

707 ×1.0

GPC

176 ×1.0

OCEAN

117 ×1.1

EE

43 ×0.6

AA

Citations per year, relative to A. Rhodin A. Rhodin (= 1×) peers Almut Gaßmann

Countries citing papers authored by A. Rhodin

Since Specialization

Citations

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

Fields of papers citing papers by A. Rhodin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Rhodin

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Denhard, Michael, Helmut Frank, A. Rhodin, et al.. (2018). ICON-EPS: The operational global ensemble forecasting system of DWD. EGU General Assembly Conference Abstracts. 13813. 1 indexed citations

2.

Potthast, Roland, et al.. (2018). A Localized Adaptive Particle Filter within an Operational NWP Framework. Monthly Weather Review. 147(1). 345–362. 44 indexed citations

3.

Potthast, Roland, et al.. (2017). On sequential multiscale inversion and data assimilation. Journal of Computational and Applied Mathematics. 336. 338–352. 7 indexed citations

4.

Rast, Sebastian, Martin G. Schultz, I. Bey, et al.. (2014). Evaluation of the tropospheric chemistry general circulation model ECHAM5-MOZ and its application to the analysis of the chemical composition of the troposphere with an emphasis on the late RETRO period 1990-2000. Max Planck Digital Library. 4 indexed citations

5.

Rast, Sebastian, Renate Brokopf, Monika Esch, et al.. (2013). User manual for ECHAM6 - June 21, 2013, (2013-02-26), version echam-6.1.06p3-guide-1.3. Max Planck Digital Library. 2 indexed citations

6.

Rhodin, A., et al.. (2011). Assimilation of GPS radio occultation data at DWD. Atmospheric measurement techniques. 4(6). 1105–1113. 25 indexed citations

7.

Reich, Hendrik, A. Rhodin, & Christoph Schraff. (2011). LETKF for the nonhydrostatic regional model COSMO-DE. 10 indexed citations

8.

Keller, Jan D., Andreas Hense, & A. Rhodin. (2010). Estimating Uncertainty in Atmospheric Models - Application and new Approaches of Lyapunov Vector Estimations. AGU Fall Meeting Abstracts. 2010. 1 indexed citations

9.

Keller, Jan D., Andreas Hense, Luis Kornblueh, & A. Rhodin. (2010). On the Orthogonalization of Bred Vectors. Weather and Forecasting. 25(4). 1219–1234. 10 indexed citations

10.

Keller, Jan D., Luis Kornblueh, Andreas Hense, & A. Rhodin. (2008). Towards a GME ensemble forecasting system: Ensemble initialization using the breeding technique. Meteorologische Zeitschrift. 17(6). 707–718. 11 indexed citations

11.

Gorbunov, M. E., et al.. (2006). Radio holographic filtering, error estimation, and quality control of radio occultation data. Journal of Geophysical Research Atmospheres. 111(D10). 34 indexed citations

12.

Bengtsson, Lennart, G. J. Robinson, R. A. Anthes, et al.. (2003). The Use of GPS Measurements for Water Vapor Determination. Bulletin of the American Meteorological Society. 84(9). 1249–1258. 23 indexed citations

13.

Wulfmeyer, Volker, Hans‐Stefan Bauer, Susanne Crewell, et al.. (2003). Lidar Research Network Water Vapor and Wind. Meteorologische Zeitschrift. 12(1). 5–24. 5 indexed citations

14.

Roeckner, E., Georg Bäuml, Luca Bonaventura, et al.. (2003). The atmospheric general circulation model ECHAM 5. PART I: Model description. Max Planck Digital Library. 541 indexed citations breakdown →

15.

Rhodin, A., et al.. (1999). Variational analysis of effective soil moisture from screen‐level atmospheric parameters: Application to a short‐range weather forecast model. Quarterly Journal of the Royal Meteorological Society. 125(559). 2427–2448. 28 indexed citations

16.

Callies, Ulrich, et al.. (1998). A case study on variational soil moisture analysis from atmospheric observations. Journal of Hydrology. 212-213. 95–108. 29 indexed citations

17.

Brümmer, Burghard, et al.. (1996). Interaction of a cold front with a sea-breeze front Observations. Tellus A Dynamic Meteorology and Oceanography. 48(4). 383–383. 1 indexed citations

18.

Brümmer, Burghard, et al.. (1995). Interaction of a cold front with a sea-breeze front Observations. Tellus A Dynamic Meteorology and Oceanography. 47(4). 383–383. 5 indexed citations

19.

Rhodin, A.. (1995). Interaction of a cold front with a sea-breeze front Numerical simulations. Tellus A Dynamic Meteorology and Oceanography. 47(4). 403–403. 5 indexed citations

20.

Hennemuth, Barbara, et al.. (1992). The fog front of 25 May 1989 ? A gravity flow?. Meteorology and Atmospheric Physics. 48(1-4). 273–292. 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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