Andreas Hense

5.5k total citations · 1 hit paper
118 papers, 4.0k citations indexed

About

Andreas Hense is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Andreas Hense has authored 118 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Atmospheric Science, 85 papers in Global and Planetary Change and 26 papers in Oceanography. Recurrent topics in Andreas Hense's work include Climate variability and models (79 papers), Meteorological Phenomena and Simulations (67 papers) and Atmospheric and Environmental Gas Dynamics (21 papers). Andreas Hense is often cited by papers focused on Climate variability and models (79 papers), Meteorological Phenomena and Simulations (67 papers) and Atmospheric and Environmental Gas Dynamics (21 papers). Andreas Hense collaborates with scholars based in Germany, South Korea and United Kingdom. Andreas Hense's co-authors include Andreas Will, Seung‐Ki Min, Heiko Paeth, Petra Friederichs, Thomas Litt, Won‐Tae Kwon, Stephanie Legutke, Jan D. Keller, Christian Ohlwein and Christian Schölzel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

Andreas Hense

113 papers receiving 3.8k citations

Hit Papers

The Regional Climate Model COSMO-CLM (CCLM) 2008 2026 2014 2020 2008 250 500 750
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.

  1. The Regional Climate Model COSMO-CLM (CCLM)
    2008 796 citations Andreas Will, Andreas Hense et al. Meteorologische Zeitschrift profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Hense Germany 31 2.7k 2.6k 528 362 356 118 4.0k
Anders Moberg Sweden 34 5.0k 1.9× 4.7k 1.8× 376 0.7× 326 0.9× 311 0.9× 68 6.5k
Pedro Leite da Silva Dias Brazil 36 4.4k 1.6× 4.2k 1.6× 728 1.4× 510 1.4× 410 1.2× 147 6.4k
R. Krishnan India 42 4.1k 1.5× 4.6k 1.8× 1.3k 2.5× 257 0.7× 408 1.1× 136 5.5k
Hua Lu United Kingdom 32 2.5k 0.9× 1.6k 0.6× 402 0.8× 298 0.8× 360 1.0× 73 4.3k
J. Fidel González‐Rouco Spain 41 5.5k 2.0× 4.9k 1.9× 673 1.3× 799 2.2× 196 0.6× 127 6.6k
Martin Widmann United Kingdom 31 5.5k 2.0× 5.6k 2.1× 958 1.8× 344 1.0× 1.1k 3.0× 60 7.6k
Mathieu Vrac France 45 4.1k 1.5× 5.9k 2.3× 501 0.9× 596 1.6× 1.5k 4.1× 144 7.4k
Christian H. Reick Germany 30 1.8k 0.7× 2.9k 1.1× 209 0.4× 354 1.0× 205 0.6× 67 4.1k
Niklas Boers Germany 30 1.5k 0.6× 2.5k 1.0× 246 0.5× 342 0.9× 163 0.5× 116 3.6k
M. I. Budyko Russia 17 2.2k 0.8× 3.1k 1.2× 457 0.9× 374 1.0× 1.1k 3.1× 36 4.7k

Countries citing papers authored by Andreas Hense

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Hense

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Hense

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Hense. A scholar is included among the top collaborators of Andreas Hense 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 Hense. Andreas Hense 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.
Chevalier, Manuel, et al.. (2023). Refining data–data and data–model vegetation comparisons using the Earth mover's distance (EMD). Climate of the past. 19(5). 1043–1060. 5 indexed citations
2.
Richter, Jürgen, Thomas Litt, Frank Lehmkuhl, et al.. (2020). Al-Ansab and the Dead Sea: Mid-MIS 3 archaeology and environment of the early Ahmarian population of the Levantine corridor. PLoS ONE. 15(10). e0239968–e0239968. 15 indexed citations
3.
Hense, Andreas, et al.. (2020). Comparing forecast systems with multiple correlation decomposition based on partial correlation. SHILAP Revista de lepidopterología. 6(2). 103–113. 4 indexed citations
4.
Brune, Sebastian, Christopher Kadow, Gereon Gollan, et al.. (2019). Initialization and Ensemble Generation for Decadal Climate Predictions: A Comparison of Different Methods. Journal of Advances in Modeling Earth Systems. 11(1). 149–172. 31 indexed citations
5.
Hense, Andreas, et al.. (2019). Combining a pollen and macrofossil synthesis with climate simulations for spatial reconstructions of European climate using Bayesian filtering. Climate of the past. 15(4). 1275–1301. 6 indexed citations
6.
Schultz, Martin, Felix Kleinert, Lukas Hubert Leufen, et al.. (2019). DeepRain - Improved local-scale prediction of precipitation through deep learning. EGU General Assembly Conference Abstracts. 13625. 1 indexed citations
7.
Frank, Christopher W., Bernhard Pospichal, Sabrina Wahl, et al.. (2019). The added value of high resolution regional reanalyses for wind power applications. Renewable Energy. 148. 1094–1109. 37 indexed citations
8.
Miebach, Andrea, et al.. (2019). A new Dead Sea pollen record reveals the last glacial paleoenvironment of the southern Levant. Quaternary Science Reviews. 214. 98–116. 38 indexed citations
9.
Hense, Andreas, et al.. (2018). Combining a pollen synthesis and climate simulations for spatial reconstructions of European climate using Bayesian modelling. Biogeosciences (European Geosciences Union). 1 indexed citations
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11.
Chagnon, Jeffrey M., et al.. (2017). Coherent evolution of potential vorticity anomalies associated with deep moist convection. Quarterly Journal of the Royal Meteorological Society. 143(704). 1254–1267. 17 indexed citations
12.
Springer, Anne, et al.. (2017). Evaluation of the Water Cycle in the European COSMO-REA6 Reanalysis Using GRACE. Water. 9(4). 289–289. 20 indexed citations
13.
Lyapina, Olga, Martin G. Schultz, & Andreas Hense. (2016). Cluster analysis of European surface ozone observations for evaluation of MACC reanalysis data. Atmospheric chemistry and physics. 16(11). 6863–6881. 23 indexed citations
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15.
Keune, Jessica, Klaus Goergen, Andreas Hense, et al.. (2016). Studying the influence of groundwater representations on land surface‐atmosphere feedbacks during the European heat wave in 2003. Journal of Geophysical Research Atmospheres. 121(22). 83 indexed citations
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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
19.
Will, Andreas, et al.. (2008). The Regional Climate Model COSMO-CLM (CCLM). Meteorologische Zeitschrift. 17(4). 347–348. 796 indexed citations breakdown →
20.
Göber, Martin & Andreas Hense. (1995). Langzeitliche Variationen der atmosphärischen synoptischen Variabilität: Eine Untersuchung basierend auf R adiosondendaten aus Lindenberg (Deutschland). Meteorologische Zeitschrift. 4(2). 51–61. 2 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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