Steffen Tietsche

5.0k total citations · 3 hit papers
45 papers, 2.5k citations indexed

About

Steffen Tietsche is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Steffen Tietsche has authored 45 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Atmospheric Science, 33 papers in Global and Planetary Change and 9 papers in Oceanography. Recurrent topics in Steffen Tietsche's work include Arctic and Antarctic ice dynamics (38 papers), Climate variability and models (32 papers) and Climate change and permafrost (27 papers). Steffen Tietsche is often cited by papers focused on Arctic and Antarctic ice dynamics (38 papers), Climate variability and models (32 papers) and Climate change and permafrost (27 papers). Steffen Tietsche collaborates with scholars based in United Kingdom, Germany and United States. Steffen Tietsche's co-authors include Hao Zuo, Magdalena Balmaseda, Kristian Mogensen, Jonathan J. Day, Ed Hawkins, Michael Mayer, Dirk Notz, Jochem Marotzke, Sarah Keeley and Johann Jungclaus and has published in prestigious journals such as Nature Communications, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Steffen Tietsche

43 papers receiving 2.5k citations

Hit Papers

The ECMWF operational ensemble reanalysis–analysis system... 2019 2026 2021 2023 2019 2019 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steffen Tietsche United Kingdom 22 2.1k 1.6k 670 185 86 45 2.5k
E. M. Volodin Russia 22 1.5k 0.7× 1.6k 1.0× 407 0.6× 84 0.5× 51 0.6× 90 1.9k
Emily Shuckburgh United Kingdom 26 1.7k 0.8× 1.8k 1.1× 1.1k 1.6× 123 0.7× 52 0.6× 59 2.5k
Mark A. Ringer United Kingdom 29 2.5k 1.2× 2.7k 1.6× 449 0.7× 69 0.4× 57 0.7× 58 3.0k
William H. Lipscomb United States 28 2.7k 1.3× 1.0k 0.6× 390 0.6× 205 1.1× 19 0.2× 76 2.9k
Nikolay Koldunov Germany 27 1.4k 0.7× 992 0.6× 862 1.3× 373 2.0× 22 0.3× 74 1.8k
Hao Zuo United Kingdom 17 1.2k 0.6× 1.4k 0.9× 1.0k 1.5× 84 0.5× 75 0.9× 42 1.9k
Traute Crueger Germany 14 1.5k 0.7× 1.6k 1.0× 353 0.5× 47 0.3× 55 0.6× 21 1.9k
Xin Qu United States 22 1.9k 0.9× 1.8k 1.1× 217 0.3× 48 0.3× 61 0.7× 40 2.3k
Stephen R. Hudson Norway 25 1.8k 0.9× 1.0k 0.6× 366 0.5× 162 0.9× 76 0.9× 60 2.1k
Robert Colman Australia 28 2.9k 1.4× 3.1k 1.9× 461 0.7× 32 0.2× 75 0.9× 60 3.4k

Countries citing papers authored by Steffen Tietsche

Since Specialization
Citations

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

Fields of papers citing papers by Steffen Tietsche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steffen Tietsche

This figure shows the co-authorship network connecting the top 25 collaborators of Steffen Tietsche. A scholar is included among the top collaborators of Steffen Tietsche 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 Steffen Tietsche. Steffen Tietsche 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.
Balmaseda, Magdalena, Beena Balan Sarojini, Michael Mayer, et al.. (2024). Impact of the ocean in-situ observations on the ECMWF seasonal forecasting system. Frontiers in Marine Science. 11. 2 indexed citations
2.
Tietsche, Steffen, et al.. (2024). Forecasting atmospheric persistence and implications for the predictability of temperature and temperature extremes. Quarterly Journal of the Royal Meteorological Society. 150(765). 5518–5534.
3.
Sarojini, Beena Balan, Magdalena Balmaseda, Frédéric Vitart, et al.. (2024). Impact of ocean in-situ observations on ECMWF sub-seasonal forecasts. Frontiers in Marine Science. 11. 2 indexed citations
4.
Luo, Hao, et al.. (2022). The Challenge of Arctic Sea Ice Thickness Prediction by ECMWF on Subseasonal Time Scales. Geophysical Research Letters. 49(8). 11 indexed citations
5.
Day, Jonathan J., Sarah Keeley, Gabriele Arduini, et al.. (2022). Benefits and challenges of dynamic sea ice for weather forecasts. Weather and Climate Dynamics. 3(3). 713–731. 8 indexed citations
6.
Roberts, Christopher D., Magdalena Balmaseda, Steffen Tietsche, & Frédéric Vitart. (2022). Sensitivity of ECMWF coupled forecasts to improved initialization of the ocean mesoscale. Quarterly Journal of the Royal Meteorological Society. 148(749). 3694–3714. 6 indexed citations
7.
Andersson, Tom R., J. Scott Hosking, María Pérez‐Ortiz, et al.. (2021). Seasonal Arctic sea ice forecasting with probabilistic deep learning. Nature Communications. 12(1). 5124–5124. 158 indexed citations breakdown →
8.
Zuo, Hao, Magdalena Balmaseda, Eric de Boisséson, et al.. (2021). The ORAP6 ocean and sea-ice reanalysis: description and evaluation. 7 indexed citations
9.
Sarojini, Beena Balan, Steffen Tietsche, Michael Mayer, et al.. (2021). Year-round impact of winter sea ice thickness observations on seasonal forecasts. ˜The œcryosphere. 15(1). 325–344. 11 indexed citations
10.
Pohl, Christine, Larysa Istomina, Steffen Tietsche, et al.. (2020). Broadband albedo of Arctic sea ice from MERIS optical data. ˜The œcryosphere. 14(1). 165–182. 21 indexed citations
11.
Johnson, Stephanie J., Tim Stockdale, Laura Ferranti, et al.. (2019). SEAS5: the new ECMWF seasonal forecast system. Geoscientific model development. 12(3). 1087–1117. 448 indexed citations breakdown →
13.
Zuo, Hao, Magdalena Balmaseda, Steffen Tietsche, Kristian Mogensen, & Michael Mayer. (2019). The ECMWF operational ensemble reanalysis–analysis system for ocean and sea ice: a description of the system and assessment. Ocean science. 15(3). 779–808. 543 indexed citations breakdown →
14.
Mayer, Michael, et al.. (2019). An Improved Estimate of the Coupled Arctic Energy Budget. Journal of Climate. 32(22). 7915–7934. 55 indexed citations
15.
Tietsche, Steffen, Magdalena Balmaseda, Patricia de Rosnay, et al.. (2018). Thin Arctic sea ice in L-band observations and an ocean reanalysis. ˜The œcryosphere. 12(6). 2051–2072. 21 indexed citations
16.
Tietsche, Steffen, Magdalena Balmaseda, Patricia de Rosnay, et al.. (2017). Thin sea ice in the Arctic: comparing L-band radiometry retrievals with an ocean reanalysis. 1 indexed citations
17.
Day, Jonathan J., Steffen Tietsche, Matthew Collins, et al.. (2016). The Arctic Predictability and Prediction on Seasonal-to-Interannual TimEscales (APPOSITE) data set version 1. Geoscientific model development. 9(6). 2255–2270. 25 indexed citations
18.
Day, Jonathan J., Steffen Tietsche, Matthew Collins, et al.. (2015). The Arctic Predictability and Prediction on Seasonal-to-Interannual TimEscales (APPOSITE) data set. Open Research Exeter (University of Exeter). 3 indexed citations
19.
Tietsche, Steffen, Dan Hodson, Sarah Keeley, et al.. (2013). Quantifying the potential to predict Arctic climate on seasonal to interannual time scales. EGU General Assembly Conference Abstracts. 1 indexed citations
20.
Tietsche, Steffen, Dirk Notz, Johann Jungclaus, & Jochem Marotzke. (2013). Assimilation of sea-ice concentration in a global climate model – physical and statistical aspects. Ocean science. 9(1). 19–36. 60 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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