Manuel Schlund

1.8k total citations · 1 hit paper
12 papers, 773 citations indexed

About

Manuel Schlund is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Manuel Schlund has authored 12 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Global and Planetary Change, 11 papers in Atmospheric Science and 1 paper in Oceanography. Recurrent topics in Manuel Schlund's work include Climate variability and models (11 papers), Atmospheric and Environmental Gas Dynamics (9 papers) and Meteorological Phenomena and Simulations (9 papers). Manuel Schlund is often cited by papers focused on Climate variability and models (11 papers), Atmospheric and Environmental Gas Dynamics (9 papers) and Meteorological Phenomena and Simulations (9 papers). Manuel Schlund collaborates with scholars based in Germany, United Kingdom and Spain. Manuel Schlund's co-authors include Veronika Eyring, Gerald A. Meehl, Karl E. Taylor, Ronald J. Stouffer, C. A. Senior, Jean‐François Lamarque, Gregory M. Flato, Axel Lauer, Pierre Gentine and Steven C. Sherwood and has published in prestigious journals such as Science Advances, Biogeosciences and Journal of Geophysical Research Atmospheres.

In The Last Decade

Manuel Schlund

12 papers receiving 757 citations

Hit Papers

Context for interpreting equilibrium climate sensitivity ... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Schlund Germany 7 641 495 108 62 50 12 773
Roger Bodman Australia 7 628 1.0× 453 0.9× 195 1.8× 53 0.9× 44 0.9× 11 759
Roxana Bojariu Romania 14 625 1.0× 481 1.0× 154 1.4× 37 0.6× 39 0.8× 38 829
Panmao Zhai China 10 630 1.0× 388 0.8× 81 0.8× 121 2.0× 71 1.4× 21 764
Mandy Freund Australia 9 582 0.9× 460 0.9× 167 1.5× 67 1.1× 60 1.2× 20 722
John Truesdale United States 15 911 1.4× 860 1.7× 230 2.1× 45 0.7× 33 0.7× 22 1.1k
Emiliano Hernández Spain 15 828 1.3× 765 1.5× 150 1.4× 38 0.6× 37 0.7× 30 1.0k
Frank Sielmann Germany 18 807 1.3× 680 1.4× 187 1.7× 62 1.0× 34 0.7× 32 947
J. Waszkewitz Germany 7 632 1.0× 585 1.2× 96 0.9× 37 0.6× 32 0.6× 8 765
Giorgia Di Capua Germany 10 567 0.9× 536 1.1× 111 1.0× 20 0.3× 23 0.5× 18 692
Barış Önol Türkiye 12 544 0.8× 369 0.7× 76 0.7× 102 1.6× 70 1.4× 23 670

Countries citing papers authored by Manuel Schlund

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Schlund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Schlund

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Schlund. A scholar is included among the top collaborators of Manuel Schlund 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 Manuel Schlund. Manuel Schlund is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Lauer, Axel, et al.. (2025). Monitoring and benchmarking Earth system model simulations with ESMValTool v2.12.0. Geoscientific model development. 18(4). 1169–1188. 1 indexed citations
2.
Gier, Bettina K., Manuel Schlund, Pierre Friedlingstein, et al.. (2024). Representation of the terrestrial carbon cycle in CMIP6. Biogeosciences. 21(22). 5321–5360. 9 indexed citations
3.
Schlund, Manuel, Birgit Haßler, Axel Lauer, et al.. (2023). Evaluation of native Earth system model output with ESMValTool v2.6.0. Geoscientific model development. 16(1). 315–333. 6 indexed citations
4.
Schlund, Manuel, et al.. (2022). Do Emergent Constraints on Carbon Cycle Feedbacks Hold in CMIP6?. Journal of Geophysical Research Biogeosciences. 127(12). 2 indexed citations
5.
Righi, Mattia, Bouwe Andela, Veronika Eyring, et al.. (2020). Earth System Model Evaluation Tool (ESMValTool) v2.0 – technical overview. Geoscientific model development. 13(3). 1179–1199. 67 indexed citations
6.
Schlund, Manuel, Axel Lauer, Pierre Gentine, Steven C. Sherwood, & Veronika Eyring. (2020). Emergent constraints on equilibrium climate sensitivity in CMIP5: do they hold for CMIP6?. Earth System Dynamics. 11(4). 1233–1258. 104 indexed citations
7.
Lauer, Axel, Veronika Eyring, Omar Bellprat, et al.. (2020). Earth System Model Evaluation Tool (ESMValTool) v2.0 – diagnostics for emergent constraints and future projections from Earth system models in CMIP. Geoscientific model development. 13(9). 4205–4228. 25 indexed citations
8.
Bock, Lisa, Axel Lauer, Manuel Schlund, et al.. (2020). Quantifying Progress Across Different CMIP Phases With the ESMValTool. Journal of Geophysical Research Atmospheres. 125(21). 102 indexed citations
9.
Meehl, Gerald A., C. A. Senior, Veronika Eyring, et al.. (2020). Context for interpreting equilibrium climate sensitivity and transient climate response from the CMIP6 Earth system models. Science Advances. 6(26). eaba1981–eaba1981. 427 indexed citations breakdown →
10.
Schlund, Manuel, Veronika Eyring, Gustau Camps‐Valls, et al.. (2020). Constraining uncertainty in projected gross primary production with machine learning. 1 indexed citations
11.
Schlund, Manuel, Veronika Eyring, Gustau Camps‐Valls, et al.. (2020). Constraining Uncertainty in Projected Gross Primary Production With Machine Learning. Journal of Geophysical Research Biogeosciences. 125(11). 27 indexed citations
12.
Righi, Mattia, Bouwe Andela, Veronika Eyring, et al.. (2019). ESMValTool v2.0 – Technical overview. 2 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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