Thomas Reichler

7.5k total citations · 4 hit papers
50 papers, 5.1k citations indexed

About

Thomas Reichler is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Thomas Reichler has authored 50 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Atmospheric Science, 38 papers in Global and Planetary Change and 8 papers in Oceanography. Recurrent topics in Thomas Reichler's work include Climate variability and models (34 papers), Meteorological Phenomena and Simulations (20 papers) and Atmospheric Ozone and Climate (19 papers). Thomas Reichler is often cited by papers focused on Climate variability and models (34 papers), Meteorological Phenomena and Simulations (20 papers) and Atmospheric Ozone and Climate (19 papers). Thomas Reichler collaborates with scholars based in United States, Australia and Germany. Thomas Reichler's co-authors include Junsu Kim, Jian Lu, Gabriel A. Vecchi, Qiang Fu, William J. Randel, Dian J. Seidel, Celeste M. Johanson, John M. Wallace, R. Sausen and M. Dameris and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and Journal of Climate.

In The Last Decade

Thomas Reichler

45 papers receiving 5.0k citations

Hit Papers

Atmospheric component of the MPI‐M Earth System Model: EC... 2007 2026 2013 2019 2013 2007 2008 2007 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Reichler United States 21 4.4k 3.9k 991 298 203 50 5.1k
Monika Esch Germany 13 3.5k 0.8× 3.4k 0.9× 913 0.9× 267 0.9× 148 0.7× 20 4.2k
Gill Martin United Kingdom 26 4.5k 1.0× 4.0k 1.0× 734 0.7× 255 0.9× 272 1.3× 71 5.0k
Hirokazu Endo Japan 20 5.8k 1.3× 5.4k 1.4× 1.7k 1.7× 458 1.5× 224 1.1× 45 6.6k
Kazutoshi Onogi Japan 12 5.5k 1.2× 5.2k 1.3× 1.8k 1.8× 361 1.2× 109 0.5× 15 6.3k
Leo J. Donner United States 37 6.4k 1.4× 6.2k 1.6× 1.1k 1.1× 223 0.7× 227 1.1× 81 7.5k
Tomoaki Ose Japan 24 3.9k 0.9× 3.7k 0.9× 1.2k 1.2× 314 1.1× 190 0.9× 43 4.4k
Ulrich Schlese Germany 16 3.7k 0.8× 3.7k 0.9× 808 0.8× 286 1.0× 120 0.6× 23 4.6k
Hirotaka Kamahori Japan 16 5.6k 1.3× 5.4k 1.4× 1.9k 1.9× 359 1.2× 109 0.5× 26 6.5k
Kiyotoshi Takahashi Japan 10 5.4k 1.2× 5.1k 1.3× 1.8k 1.8× 353 1.2× 109 0.5× 14 6.2k
Jason C. Furtado United States 26 4.1k 0.9× 4.0k 1.0× 1.2k 1.2× 153 0.5× 115 0.6× 50 5.1k

Countries citing papers authored by Thomas Reichler

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Reichler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Reichler

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Reichler. A scholar is included among the top collaborators of Thomas Reichler 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 Thomas Reichler. Thomas Reichler 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.
Waugh, Darryn W., et al.. (2024). Replicating the Hadley cell edge and subtropical jet latitude disconnect in idealized atmospheric models. Weather and Climate Dynamics. 5(1). 251–261.
2.
Strong, Courtenay, et al.. (2023). Atlantic-Pacific influence on western U.S. hydroclimate and water resources. npj Climate and Atmospheric Science. 6(1). 5 indexed citations
3.
Reichler, Thomas, et al.. (2023). Large uncertainty in observed estimates of tropical width from the meridional stream function. Weather and Climate Dynamics. 4(2). 531–541. 2 indexed citations
4.
Reichler, Thomas & Martin Jucker. (2022). Stratospheric wave driving events as an alternative to sudden stratospheric warmings. Weather and Climate Dynamics. 3(2). 659–677. 5 indexed citations
5.
Jucker, Martin & Thomas Reichler. (2022). Life Cycle of Major Sudden Stratospheric Warmings in the Southern Hemisphere from a Multimillennial GCM Simulation. Journal of Climate. 36(2). 643–661. 2 indexed citations
6.
Jucker, Martin, Thomas Reichler, & Darryn W. Waugh. (2021). How Frequent Are Antarctic Sudden Stratospheric Warmings in Present and Future Climate?. Geophysical Research Letters. 48(11). 22 indexed citations
7.
Magand, Olivier, Paolo Laj, Marcos Andrade, et al.. (2021). Seasonal patterns of atmospheric mercury in tropical South America as inferred by a continuous total gaseous mercury record at Chacaltaya station (5240 m) in Bolivia. Atmospheric chemistry and physics. 21(5). 3447–3472. 18 indexed citations
8.
Reichler, Thomas, et al.. (2021). A Simplified Chemistry-Dynamical Model. 1 indexed citations
9.
Reichler, Thomas, et al.. (2021). Local and remote response of ozone to Arctic stratospheric circulation extremes. Atmospheric chemistry and physics. 21(2). 1159–1171. 9 indexed citations
10.
Reichler, Thomas, et al.. (2020). Variations in the Frequency of Stratospheric Sudden Warmings in CMIP5 and CMIP6 and Possible Causes. Journal of Climate. 33(23). 10305–10320. 17 indexed citations
11.
Reichler, Thomas, et al.. (2018). Towards a More Earth‐Like Circulation in Idealized Models. Journal of Advances in Modeling Earth Systems. 10(7). 1458–1469. 12 indexed citations
12.
Jucker, Martin & Thomas Reichler. (2018). Dynamical Precursors for Statistical Prediction of Stratospheric Sudden Warming Events. Geophysical Research Letters. 45(23). 28 indexed citations
13.
Wiedensohler, Alfred, Marcos Andrade, Kay Weinhold, et al.. (2018). Black carbon emission and transport mechanisms to the free troposphere at the La Paz/El Alto (Bolivia) metropolitan area based on the Day of Census (2012). Atmospheric Environment. 194. 158–169. 24 indexed citations
14.
Kim, Junsu & Thomas Reichler. (2015). How well do Climate Models Simulate Today’s Climate?. 한국기상학회 학술대회 논문집. 64–65.
15.
Reichler, Thomas, Marcos Andrade, & N. Ohara. (2014). Use of multi-model ensembles for regional climate downscaling. EGU General Assembly Conference Abstracts. 1819. 1 indexed citations
16.
Reichler, Thomas, Paul W. Staten, & Jian Lu. (2012). Latitudinal shifts in precipitation; the role of anthropogenic forcings. AGUFM. 2012.
17.
Staten, Paul W., Thomas Reichler, & Jianhua Lü. (2010). Understanding the Direct and Indirect Circulation Response to Radiative Forcings. AGUFM. 2010. 2 indexed citations
18.
Reichler, Thomas. (2009). Fine-Scale Climate Projections for Utah from Statistical Downscaling of Global Climate Models. Digital Commons - USU (Utah State University). 2 indexed citations
19.
Reichler, Thomas & Junsu Kim. (2008). Uncertainties in the climate mean state of global observations, reanalyses, and the GFDL climate model. Journal of Geophysical Research Atmospheres. 113(D5). 66 indexed citations
20.
Reichler, Thomas & Isaac M. Held. (2005). A possible widening of the tropical Hadley cell over the past decades. AGU Fall Meeting Abstracts. 2005. 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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