Holger Pohlmann

8.0k total citations
60 papers, 2.7k citations indexed

About

Holger Pohlmann is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Holger Pohlmann has authored 60 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Global and Planetary Change, 46 papers in Atmospheric Science and 20 papers in Oceanography. Recurrent topics in Holger Pohlmann's work include Climate variability and models (50 papers), Meteorological Phenomena and Simulations (40 papers) and Oceanographic and Atmospheric Processes (18 papers). Holger Pohlmann is often cited by papers focused on Climate variability and models (50 papers), Meteorological Phenomena and Simulations (40 papers) and Oceanographic and Atmospheric Processes (18 papers). Holger Pohlmann collaborates with scholars based in Germany, United Kingdom and France. Holger Pohlmann's co-authors include Doug Smith, Wolfgang A. Müller, Mojib Latif, Jochem Marotzke, Rosie Eade, Johann Jungclaus, Adam A. Scaife, Nick Dunstone, Noel Keenlyside and Armin Köhl and has published in prestigious journals such as Journal of Climate, Geophysical Research Letters and Nature Geoscience.

In The Last Decade

Holger Pohlmann

60 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Holger Pohlmann Germany 26 2.5k 2.2k 1.2k 73 65 60 2.7k
Rosie Eade United Kingdom 24 2.6k 1.1× 2.4k 1.1× 984 0.9× 75 1.0× 83 1.3× 40 2.8k
Kyong‐Hwan Seo South Korea 30 2.2k 0.9× 2.1k 0.9× 820 0.7× 60 0.8× 48 0.7× 86 2.4k
Leon Hermanson United Kingdom 24 2.0k 0.8× 1.7k 0.8× 754 0.7× 74 1.0× 63 1.0× 58 2.1k
Wenjun Zhang China 29 2.7k 1.1× 2.3k 1.0× 1.4k 1.2× 61 0.8× 102 1.6× 110 3.0k
David P. Stepaniak United States 12 2.4k 0.9× 2.1k 0.9× 965 0.8× 64 0.9× 99 1.5× 12 2.6k
David Fereday United Kingdom 19 2.4k 1.0× 2.2k 1.0× 667 0.6× 116 1.6× 133 2.0× 28 2.7k
A. Rosati United States 21 2.4k 1.0× 2.1k 0.9× 1.7k 1.5× 57 0.8× 60 0.9× 26 2.7k
Craig MacLachlan United Kingdom 25 2.2k 0.9× 2.0k 0.9× 757 0.7× 129 1.8× 82 1.3× 39 2.4k
Bin Yu Canada 29 2.2k 0.9× 2.0k 0.9× 911 0.8× 44 0.6× 38 0.6× 100 2.4k
Congwen Zhu China 29 2.3k 0.9× 2.1k 1.0× 850 0.7× 86 1.2× 115 1.8× 106 2.6k

Countries citing papers authored by Holger Pohlmann

Since Specialization
Citations

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

Fields of papers citing papers by Holger Pohlmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Holger Pohlmann

This figure shows the co-authorship network connecting the top 25 collaborators of Holger Pohlmann. A scholar is included among the top collaborators of Holger Pohlmann 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 Holger Pohlmann. Holger Pohlmann 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.
Langematz, Ulrike, et al.. (2023). A critical evaluation of decadal solar cycle imprints in the MiKlip historical ensemble simulations. Weather and Climate Dynamics. 4(3). 789–807. 5 indexed citations
2.
Fröhlich, Kristina, Mikhail Dobrynin, Claudia Gessner, et al.. (2021). The German Climate Forecast System: GCFS. Journal of Advances in Modeling Earth Systems. 13(2). 44 indexed citations
3.
Smith, Doug, Rosie Eade, Adam A. Scaife, et al.. (2020). Author Correction: Robust skill of decadal climate predictions. npj Climate and Atmospheric Science. 3(1). 2 indexed citations
4.
Hermanson, Leon, Roberto Bilbao, Nick Dunstone, et al.. (2020). Robust Multiyear Climate Impacts of Volcanic Eruptions in Decadal Prediction Systems. Journal of Geophysical Research Atmospheres. 125(9). 18 indexed citations
5.
Smith, Doug, Rosie Eade, Adam A. Scaife, et al.. (2019). Robust skill of decadal climate predictions. npj Climate and Atmospheric Science. 2(1). 187 indexed citations
6.
7.
Schuster, Mareike, Jens Grieger, Christopher Kadow, et al.. (2019). Improvement in the decadal prediction skill of the North Atlantic extratropical winter circulation through increased model resolution. Earth System Dynamics. 10(4). 901–917. 8 indexed citations
8.
Dobrynin, Mikhail, Daniela I. V. Domeisen, Wolfgang A. Müller, et al.. (2018). Improved Teleconnection‐Based Dynamical Seasonal Predictions of Boreal Winter. Geophysical Research Letters. 45(8). 3605–3614. 57 indexed citations
9.
Kadow, Christopher, et al.. (2018). Assessing the impact of a future volcanic eruption on decadal predictions. Earth System Dynamics. 9(2). 701–715. 10 indexed citations
10.
Düsterhus, André, Mikhail Dobrynin, Daniela I. V. Domeisen, et al.. (2017). A statistical-dynamical seasonal prediction of the Summer North Atlantic Oscillation. EGUGA. 7153. 1 indexed citations
11.
Dobrynin, Mikhail, Daniela I. V. Domeisen, Wolfgang A. Müller, et al.. (2016). Improved seasonal prediction of winter NAO through ensemble sub-sampling.. EGUGA. 1 indexed citations
12.
Pohlmann, Holger, André Düsterhus, Daniela Matei, et al.. (2016). Hindcast skill for the Atlantic meridional overturning circulation at 26.5°N within two MPI-ESM decadal climate prediction systems. Climate Dynamics. 49(9-10). 2975–2990. 3 indexed citations
13.
Timmreck, Claudia, et al.. (2015). The impact of stratospheric volcanic aerosol on decadal‐scale climate predictions. Geophysical Research Letters. 43(2). 834–842. 39 indexed citations
14.
Scaife, Adam A., Maria Athanassiadou, Martin B. Andrews, et al.. (2014). Predictability of the quasi‐biennial oscillation and its northern winter teleconnection on seasonal to decadal timescales. Geophysical Research Letters. 41(5). 1752–1758. 129 indexed citations
15.
Pohlmann, Holger, Wolfgang A. Müller, Ketan Kulkarni, et al.. (2013). Improved forecast skill in the tropics in the new MiKlip decadal climate predictions. Geophysical Research Letters. 40(21). 5798–5802. 74 indexed citations
16.
Smith, Doug, Nick Dunstone, Rosie Eade, et al.. (2013). Comments on “Multiyear Predictions of North Atlantic Hurricane Frequency: Promise and Limitations”. Journal of Climate. 27(1). 487–489. 5 indexed citations
17.
Hawkins, Ed, Robin S. Smith, Lesley C. Allison, et al.. (2011). Bistability of the Atlantic overturning circulation in a global climate model and links to ocean freshwater transport. Geophysical Research Letters. 38(10). n/a–n/a. 150 indexed citations
18.
Brander, Keith, Ute Daewel, Ken Drinkwater, et al.. (2010). Cod and future climate change. 5 indexed citations
19.
Hurrell, James W., Thomas L. Delworth, Gökhan Danabasoglu, et al.. (2009). Decadal Climate Prediction: Opportunities and Challenges. MPG.PuRe (Max Planck Society). 2011. 10 indexed citations
20.
Collins, Matthew, Andrea F. Carril, Holger Pohlmann, Rowan Sutton, & Laurent Terray. (2003). North Atlantic decadal predictability. Max Planck Institute for Plasma Physics. 8(4). 6–7. 4 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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