David Schröder

1.6k total citations
30 papers, 810 citations indexed

About

David Schröder is a scholar working on Atmospheric Science, Oceanography and Environmental Chemistry. According to data from OpenAlex, David Schröder has authored 30 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Atmospheric Science, 6 papers in Oceanography and 4 papers in Environmental Chemistry. Recurrent topics in David Schröder's work include Arctic and Antarctic ice dynamics (27 papers), Climate change and permafrost (21 papers) and Cryospheric studies and observations (19 papers). David Schröder is often cited by papers focused on Arctic and Antarctic ice dynamics (27 papers), Climate change and permafrost (21 papers) and Cryospheric studies and observations (19 papers). David Schröder collaborates with scholars based in United Kingdom, Germany and Canada. David Schröder's co-authors include D. L. Feltham, Michel Tsamados, Günther Heinemann, Daniela Flocco, Sascha Willmes, Thomas Krumpen, Julienne Strœve, Burghard Brümmer, Timo Vihma and Jens Hölemann and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

David Schröder

30 papers receiving 793 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Schröder United Kingdom 17 765 207 159 104 27 30 810
O. P. G. Persson United States 5 300 0.4× 100 0.5× 177 1.1× 70 0.7× 14 0.5× 9 361
Kazutaka Tateyama Japan 12 590 0.8× 97 0.5× 158 1.0× 157 1.5× 33 1.2× 38 645
Christopher Polashenski United States 9 698 0.9× 144 0.7× 68 0.4× 58 0.6× 22 0.8× 15 746
A. Sirevaag Norway 10 453 0.6× 248 1.2× 132 0.8× 56 0.5× 4 0.1× 10 496
Yiguo Wang Norway 15 403 0.5× 361 1.7× 162 1.0× 29 0.3× 17 0.6× 36 500
Algot K. Peterson Norway 9 300 0.4× 98 0.5× 241 1.5× 80 0.8× 4 0.1× 12 388
Dominic J. Salisbury United Kingdom 8 287 0.4× 218 1.1× 114 0.7× 65 0.6× 2 0.1× 10 372
S. F. Ackley United States 12 503 0.7× 93 0.4× 147 0.9× 49 0.5× 3 0.1× 22 586
C. H. Pease United States 11 581 0.8× 214 1.0× 384 2.4× 164 1.6× 13 0.5× 13 666
L. H. Shapiro United States 11 390 0.5× 34 0.2× 57 0.4× 66 0.6× 13 0.5× 27 429

Countries citing papers authored by David Schröder

Since Specialization
Citations

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

Fields of papers citing papers by David Schröder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Schröder

This figure shows the co-authorship network connecting the top 25 collaborators of David Schröder. A scholar is included among the top collaborators of David Schröder 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 David Schröder. David Schröder 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.
Feltham, D. L., et al.. (2022). Sea ice floe size: its impact on pan-Arctic and local ice mass and required model complexity. ˜The œcryosphere. 16(6). 2565–2593. 13 indexed citations
2.
Feltham, D. L., et al.. (2021). Sea ice floe size: its impact on pan-Arctic and local ice mass, and required model complexity. Huddersfield Research Portal (University of Huddersfield). 2 indexed citations
3.
Feltham, D. L., et al.. (2020). Changes of the Arctic marginal ice zone during the satellite era. ˜The œcryosphere. 14(6). 1971–1984. 40 indexed citations
4.
Feltham, D. L., et al.. (2020). Impact of sea ice floe size distribution on seasonal fragmentation and melt of Arctic sea ice. ˜The œcryosphere. 14(2). 403–428. 50 indexed citations
5.
Schröder, David, D. L. Feltham, Michel Tsamados, A. Ridout, & Rachel Tilling. (2019). New insight from CryoSat-2 sea ice thickness for sea ice modelling. ˜The œcryosphere. 13(1). 125–139. 35 indexed citations
6.
Schröder, David, D. L. Feltham, Michel Tsamados, A. Ridout, & Rachel Tilling. (2018). New insight from CryoSat-2 sea ice thickness for sea ice modelling. Biogeosciences (European Geosciences Union). 2 indexed citations
7.
Strœve, Julienne, David Schröder, Michel Tsamados, & D. L. Feltham. (2018). Warm winter, thin ice?. ˜The œcryosphere. 12(5). 1791–1809. 47 indexed citations
8.
Petty, Alek, David Schröder, Julienne Strœve, et al.. (2017). Skillful spring forecasts of September Arctic sea ice extent using passive microwave sea ice observations. Earth s Future. 5(2). 254–263. 40 indexed citations
9.
Lambercy, Olivier, et al.. (2013). Design of a thumb exoskeleton for hand rehabilitation. 41. 16 indexed citations
10.
Schröder, David, Günther Heinemann, & Sascha Willmes. (2011). The impact of a thermodynamic sea-ice module in the COSMO numerical weather prediction model on simulations for the Laptev Sea, Siberian Arctic. Polar Research. 30(1). 6334–6334. 25 indexed citations
11.
Schröder, David, et al.. (2011). Impact of atmospheric forcing data on simulations of the Laptev Sea polynya dynamics using the sea-ice ocean model FESOM. Journal of Geophysical Research Atmospheres. 116(C12). 11 indexed citations
12.
Schröder, David, et al.. (2011). Impact of Laptev Sea flaw polynyas on the atmospheric boundary layer and ice production using idealized mesoscale simulations. Polar Research. 30(1). 7210–7210. 29 indexed citations
13.
Krumpen, Thomas, Sascha Willmes, M. Á. Morales Maqueda, et al.. (2011). Evaluation of a polynya flux model by means of thermal infrared satellite estimates. Annals of Glaciology. 52(57). 52–60. 7 indexed citations
14.
Schröder, David, Günther Heinemann, & Sascha Willmes. (2010). Implementation of a thermodynamic sea ice module in the NSP model COSMO and its impact on simulations for the Laptev Sea area in the Siberian Arctic. Helmholtz Centre for Ocean Research Kiel (GEOMAR). 3333. 3 indexed citations
15.
Dmitrenko, Igor, Carolyn Wegner, Heidemarie Kassens, et al.. (2010). Observations of supercooling and frazil ice formation in the Laptev Sea coastal polynya. Journal of Geophysical Research Atmospheres. 115(C5). 32 indexed citations
16.
Dmitrenko, Igor, Sergey Kirillov, Bruno Tremblay, et al.. (2010). Impact of the Arctic Ocean Atlantic water layer on Siberian shelf hydrography. Journal of Geophysical Research Atmospheres. 115(C8). 55 indexed citations
17.
Schröder, David & W. M. Connolley. (2007). Impact of instantaneous sea ice removal in a coupled general circulation model. Geophysical Research Letters. 34(14). 11 indexed citations
18.
Schröder, David, Timo Vihma, A. Kerber, & Burghard Brümmer. (2003). On the parameterization of turbulent surface fluxes over heterogeneous sea ice surfaces. Journal of Geophysical Research Atmospheres. 108(C6). 33 indexed citations
19.
Brümmer, Burghard, et al.. (2002). Temporal and spatial variability of surface fluxes over the ice edge zone in the northern Baltic Sea. Journal of Geophysical Research Atmospheres. 107(C8). 15 indexed citations
20.
Carey, Michael J., et al.. (1995). Case Study of Shallow Soil Mixing and Soil Vacuum Extraction Remediation Project. 21–29. 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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