Tido Semmler

9.0k total citations · 2 hit papers
70 papers, 3.7k citations indexed

About

Tido Semmler is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Tido Semmler has authored 70 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Global and Planetary Change, 55 papers in Atmospheric Science and 19 papers in Oceanography. Recurrent topics in Tido Semmler's work include Climate variability and models (49 papers), Arctic and Antarctic ice dynamics (34 papers) and Climate change and permafrost (21 papers). Tido Semmler is often cited by papers focused on Climate variability and models (49 papers), Arctic and Antarctic ice dynamics (34 papers) and Climate change and permafrost (21 papers). Tido Semmler collaborates with scholars based in Germany, Ireland and Russia. Tido Semmler's co-authors include Thomas Jung, Ray McGrath, Daniela Jacob, Shiyu Wang, B. Koffi, Tom Holt, Kirsten Halsnæs, Martin Beniston, Katja Woth and Jean Palutikof and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and Journal of Climate.

In The Last Decade

Tido Semmler

66 papers receiving 3.6k citations

Hit Papers

Future extreme events in European climate: an exploration... 2007 2026 2013 2019 2007 2011 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
Tido Semmler Germany 27 2.7k 2.3k 734 402 264 70 3.7k
Tongwen Wu China 32 3.5k 1.3× 2.9k 1.3× 530 0.7× 288 0.7× 369 1.4× 146 4.4k
Enrico Scoccimarro Italy 35 3.3k 1.2× 2.7k 1.2× 1.2k 1.7× 274 0.7× 198 0.8× 105 4.0k
Patrick Samuelsson Sweden 25 2.2k 0.8× 1.7k 0.7× 366 0.5× 505 1.3× 285 1.1× 52 3.0k
Ulf Hansson Sweden 18 1.9k 0.7× 1.5k 0.7× 398 0.5× 367 0.9× 211 0.8× 41 2.7k
Masahiro Hosaka Japan 18 2.9k 1.1× 2.6k 1.1× 634 0.9× 573 1.4× 230 0.9× 30 3.6k
Glen Harris United Kingdom 23 2.4k 0.9× 1.5k 0.7× 407 0.6× 364 0.9× 194 0.7× 34 3.0k
Anders Ullerstig Sweden 18 1.9k 0.7× 1.5k 0.7× 363 0.5× 358 0.9× 199 0.8× 26 2.6k
Ben Booth United Kingdom 36 4.9k 1.8× 3.4k 1.5× 883 1.2× 491 1.2× 360 1.4× 87 5.9k
John P. Krasting United States 17 2.3k 0.8× 1.4k 0.6× 1.3k 1.7× 238 0.6× 379 1.4× 37 3.2k
Burkhardt Rockel Germany 25 3.2k 1.2× 2.7k 1.2× 445 0.6× 548 1.4× 154 0.6× 61 3.9k

Countries citing papers authored by Tido Semmler

Since Specialization
Citations

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

Fields of papers citing papers by Tido Semmler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tido Semmler

This figure shows the co-authorship network connecting the top 25 collaborators of Tido Semmler. A scholar is included among the top collaborators of Tido Semmler 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 Tido Semmler. Tido Semmler 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.
Rackow, Thomas, et al.. (2025). High-latitude Southern Ocean eddy activity projected to evolve with anthropogenic climate change. Communications Earth & Environment. 6(1).
2.
Stuecker, Malte F., Sen Zhao, Axel Timmermann, et al.. (2025). Global climate mode resonance due to rapidly intensifying El Niño-Southern Oscillation. Nature Communications. 16(1). 9013–9013.
3.
Timmermann, Ralph, et al.. (2024). Subsurface warming in the Antarctica’s Weddell Sea can be avoided by reaching the 2∘C warming target. Communications Earth & Environment. 5(1). 5 indexed citations
4.
Rackow, Thomas, et al.. (2024). Exploring the ocean mesoscale at reduced computational cost with FESOM 2.5: efficient modeling strategies applied to the Southern Ocean. Geoscientific model development. 17(2). 529–543. 1 indexed citations
5.
Ulbrich, Uwe, et al.. (2023). On the linkage between future Arctic sea ice retreat, Euro-Atlantic circulation regimes and temperature extremes over Europe. Weather and Climate Dynamics. 4(3). 663–682. 3 indexed citations
6.
Goessling, Helge, et al.. (2022). The July 2019 European Heat Wave in a Warmer Climate: Storyline Scenarios with a Coupled Model Using Spectral Nudging. Journal of Climate. 35(8). 2373–2390. 31 indexed citations
7.
Khosravi, Narges, Qiang Wang, Nikolay Koldunov, et al.. (2022). The Arctic Ocean in CMIP6 Models: Biases and Projected Changes in Temperature and Salinity. Earth s Future. 10(2). 46 indexed citations
8.
Rackow, Thomas, et al.. (2022). Long-term evolution of ocean eddy activity in a warming world. Nature Climate Change. 12(10). 910–917. 51 indexed citations
9.
Rackow, Thomas, Sergey Danilov, Helge Goessling, et al.. (2022). Delayed Antarctic sea-ice decline in high-resolution climate change simulations. Nature Communications. 13(1). 637–637. 51 indexed citations
10.
Hinrichs, Claudia, Qiang Wang, Nikolay Koldunov, et al.. (2021). Atmospheric Wind Biases: A Challenge for Simulating the Arctic Ocean in Coupled Models?. Journal of Geophysical Research Oceans. 126(10). 7 indexed citations
11.
Semmler, Tido, Johann Jungclaus, Helge Goessling, et al.. (2021). Ocean Model Formulation Influences Transient Climate Response. Journal of Geophysical Research Oceans. 126(12). 7 indexed citations
12.
Semmler, Tido, Sergey Danilov, Paul Gierz, et al.. (2020). Simulations for CMIP6 With the AWI Climate Model AWI‐CM‐1‐1. Journal of Advances in Modeling Earth Systems. 12(9). 121 indexed citations
13.
Rodehacke, Christian, Madlene Pfeiffer, Tido Semmler, Özgür Gürses, & Thomas Kleiner. (2020). Future sea level contribution from Antarctica inferred from CMIP5 model forcing and its dependence on precipitation ansatz. Earth System Dynamics. 11(4). 1153–1194. 8 indexed citations
14.
Rackow, Thomas, Dmitry Sein, Tido Semmler, et al.. (2019). Sensitivity of deep ocean biases to horizontal resolution in prototype CMIP6 simulations with AWI-CM1.0. Geoscientific model development. 12(7). 2635–2656. 27 indexed citations
15.
Rackow, Thomas, Dmitry Sein, Tido Semmler, et al.. (2018). The AWI Climate Model (AWI-CM), version 1.0. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
16.
Sein, Dmitry, Nikolay Koldunov, Sergey Danilov, et al.. (2018). The Relative Influence of Atmospheric and Oceanic Model Resolution on the Circulation of the North Atlantic Ocean in a Coupled Climate Model. Journal of Advances in Modeling Earth Systems. 10(8). 2026–2041. 54 indexed citations
17.
Roberts, Malcolm, Helene T. Hewitt, Adrian L. New, et al.. (2018). Coordinated global high resolution coupled climate modelling - PRIMAVERA. EGU General Assembly Conference Abstracts. 17903. 1 indexed citations
18.
Semmler, Tido, Sergey Danilov, Thomas Rackow, et al.. (2017). AWI AWI-CM 1.1 LR model output prepared for CMIP6 HighResMIP. Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut). 1 indexed citations
19.
O’Neill, Bridget F., et al.. (2010). The Use of Climate Projections in the Modelling of Bud Burst. EGUGA. 15011. 2 indexed citations
20.
Semmler, Tido, Daniela Jacob, K. Heinke Schlünzen, & R. Podzun. (2005). The Water and Energy Budget of the Arctic Atmosphere. Journal of Climate. 18(13). 2515–2530. 22 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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