Richard Blender

3.5k total citations
77 papers, 2.2k citations indexed

About

Richard Blender is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Richard Blender has authored 77 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Global and Planetary Change, 47 papers in Atmospheric Science and 15 papers in Oceanography. Recurrent topics in Richard Blender's work include Climate variability and models (54 papers), Meteorological Phenomena and Simulations (30 papers) and Tropical and Extratropical Cyclones Research (13 papers). Richard Blender is often cited by papers focused on Climate variability and models (54 papers), Meteorological Phenomena and Simulations (30 papers) and Tropical and Extratropical Cyclones Research (13 papers). Richard Blender collaborates with scholars based in Germany, Switzerland and China. Richard Blender's co-authors include Klaus Fraedrich, Frank Lunkeit, Christoph C. Raible, Michael Schubert, Xiuhua Zhu, Cornelia Schwierz, Heini Wernli, W. Dieterich, Ute Luksch and Jun‐Ichi Yano and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Journal of Climate.

In The Last Decade

Richard Blender

76 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Blender Germany 27 1.7k 1.4k 392 240 172 77 2.2k
Peter Ditlevsen Denmark 23 901 0.5× 986 0.7× 181 0.5× 179 0.7× 333 1.9× 71 2.0k
Jiangyu Mao China 28 2.3k 1.4× 2.2k 1.5× 124 0.3× 961 4.0× 77 0.4× 102 2.9k
Davide Faranda France 25 1.2k 0.7× 1.0k 0.7× 327 0.8× 198 0.8× 207 1.2× 128 2.0k
S. Lovejoy Canada 11 535 0.3× 321 0.2× 322 0.8× 91 0.4× 70 0.4× 24 1.1k
Luigi Palatella Italy 20 392 0.2× 161 0.1× 280 0.7× 131 0.5× 344 2.0× 61 1.2k
A. D. Kirwan United States 28 666 0.4× 969 0.7× 76 0.2× 1.7k 7.1× 244 1.4× 123 2.4k
Kyle L. Swanson United States 21 2.1k 1.2× 1.7k 1.2× 296 0.8× 935 3.9× 299 1.7× 40 2.9k
Mark S. Williamson United Kingdom 16 636 0.4× 441 0.3× 109 0.3× 113 0.5× 102 0.6× 39 1.5k
Cécile Penland United States 27 2.7k 1.6× 2.3k 1.6× 184 0.5× 1.6k 6.6× 237 1.4× 56 3.2k
Jun‐Ichi Yano France 27 1.7k 1.0× 1.9k 1.3× 49 0.1× 337 1.4× 50 0.3× 125 2.3k

Countries citing papers authored by Richard Blender

Since Specialization
Citations

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

Fields of papers citing papers by Richard Blender

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Blender

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Blender. A scholar is included among the top collaborators of Richard Blender 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 Richard Blender. Richard Blender 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.
Franzke, Christian L. E., et al.. (2023). Northern Hemisphere Extratropical Cyclone Clustering in ERA5 Reanalysis and the CESM2 Large Ensemble. Journal of Climate. 37(4). 1347–1365. 3 indexed citations
2.
Blender, Richard, et al.. (2022). Signatures of Eurasian heat waves in global Rossby wave spectra. Weather and Climate Dynamics. 3(4). 1399–1414. 2 indexed citations
3.
Blender, Richard, et al.. (2021). Statistical characteristics of extreme daily precipitation during 1501 BCE–1849 CE in the Community Earth System Model. Climate of the past. 17(5). 2031–2053. 1 indexed citations
4.
Franzke, Christian L. E., Susana Barbosa, Richard Blender, et al.. (2020). The Structure of Climate Variability Across Scales. Reviews of Geophysics. 58(2). 91 indexed citations
5.
Blender, Richard, et al.. (2018). Fluctuation analysis of the atmospheric energy cycle. Physical review. E. 98(2). 23101–23101.
6.
Raible, Christoph C., Martina Messmer, Flavio Lehner, Thomas F. Stocker, & Richard Blender. (2018). Extratropical cyclone statistics during the last millennium and the 21st century. Climate of the past. 14(10). 1499–1514. 27 indexed citations
7.
Blender, Richard. (2017). Construction of Hamiltonian and Nambu Forms for the Shallow Water Equations. MDPI (MDPI AG). 2 indexed citations
8.
Blender, Richard, et al.. (2017). Return Levels of Temperature Extremes in Southern Pakistan. 2 indexed citations
9.
Blender, Richard, et al.. (2017). Return levels of temperature extremes in southern Pakistan. Earth System Dynamics. 8(4). 1263–1278. 17 indexed citations
10.
Blender, Richard & Gualtiero Badin. (2017). Viscous dissipation in 2D fluid dynamics as a symplectic process and its metriplectic representation. The European Physical Journal Plus. 132(3). 2 indexed citations
11.
12.
Zhang, Dianxiang, Richard Blender, & Klaus Fraedrich. (2011). Volcanic and ENSO effects in China in simulations and reconstructions: Tambora eruption 1815. 2 indexed citations
13.
Blender, Richard & Klaus Fraedrich. (2006). Long‐term memory of the hydrological cycle and river runoffs in China in a high‐resolution climate model. International Journal of Climatology. 26(12). 1547–1565. 39 indexed citations
14.
Blender, Richard, et al.. (2006). Subscale forcing in a global atmospheric circulation model and stochastic parametrization. Quarterly Journal of the Royal Meteorological Society. 132(618). 1627–1643. 17 indexed citations
15.
Fraedrich, Klaus, Ute Luksch, & Richard Blender. (2004). 1∕fmodel for long-time memory of the ocean surface temperature. Physical Review E. 70(3). 37301–37301. 65 indexed citations
16.
Yano, Jun‐Ichi, Richard Blender, Chidong Zhang, & Klaus Fraedrich. (2004). 1/f noise and pulse‐like events in the tropical atmospheric surface variabilities. Quarterly Journal of the Royal Meteorological Society. 130(600). 1697–1721. 38 indexed citations
17.
Blender, Richard, Ute Luksch, Klaus Fraedrich, & Christoph C. Raible. (2003). Predictability study of the observed and simulated European climate using linear regression. Quarterly Journal of the Royal Meteorological Society. 129(592). 2299–2313. 15 indexed citations
18.
Fraedrich, Klaus & Richard Blender. (2003). Scaling of Atmosphere and Ocean Temperature Correlations in Observations and Climate Models. Physical Review Letters. 90(10). 108501–108501. 261 indexed citations
19.
Blender, Richard, et al.. (2000). Observed winter cyclone tracks in the northern hemisphere in re‐analysed ECMWF data. Quarterly Journal of the Royal Meteorological Society. 126(563). 591–620. 96 indexed citations
20.
Blender, Richard & W. Dieterich. (1987). A random AC network model for dispersed ionic conductors. Journal of Physics C Solid State Physics. 20(36). 6113–6126. 36 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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