J. Waszkewitz

988 total citations
8 papers, 765 citations indexed

About

J. Waszkewitz is a scholar working on Atmospheric Science, Global and Planetary Change and Infectious Diseases. According to data from OpenAlex, J. Waszkewitz has authored 8 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Atmospheric Science, 6 papers in Global and Planetary Change and 0 papers in Infectious Diseases. Recurrent topics in J. Waszkewitz's work include Climate variability and models (6 papers), Meteorological Phenomena and Simulations (5 papers) and Atmospheric and Environmental Gas Dynamics (3 papers). J. Waszkewitz is often cited by papers focused on Climate variability and models (6 papers), Meteorological Phenomena and Simulations (5 papers) and Atmospheric and Environmental Gas Dynamics (3 papers). J. Waszkewitz collaborates with scholars based in Germany, United States and France. J. Waszkewitz's co-authors include Ulrich Cubasch, Gabriele C. Hegerl, R. Voß, Thomas J. Crowley, Klaus Hasselmann, E. Roeckner, Hans von Storch, J. F. B. Mitchell, Eduardo Zorita and J. P. Perlwitz and has published in prestigious journals such as Climatic Change, International Journal of Climatology and Climate Dynamics.

In The Last Decade

J. Waszkewitz

8 papers receiving 703 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Waszkewitz Germany 7 632 585 96 37 33 8 765
Emiliano Hernández Spain 15 828 1.3× 765 1.3× 150 1.6× 38 1.0× 62 1.9× 30 1.0k
Ye Duzheng China 9 501 0.8× 492 0.8× 67 0.7× 30 0.8× 42 1.3× 17 602
John Truesdale United States 15 911 1.4× 860 1.5× 230 2.4× 45 1.2× 54 1.6× 22 1.1k
Frank Sielmann Germany 18 807 1.3× 680 1.2× 187 1.9× 62 1.7× 62 1.9× 32 947
T. G. J. Dyer South Africa 10 383 0.6× 209 0.4× 68 0.7× 36 1.0× 30 0.9× 24 490
Panmao Zhai China 10 630 1.0× 388 0.7× 81 0.8× 121 3.3× 46 1.4× 21 764
Manuel Schlund Germany 7 641 1.0× 495 0.8× 108 1.1× 62 1.7× 43 1.3× 12 773
Pere Esteban Spain 12 611 1.0× 630 1.1× 49 0.5× 66 1.8× 38 1.2× 22 829
Neil D. Gordon United States 12 968 1.5× 960 1.6× 351 3.7× 25 0.7× 56 1.7× 21 1.2k
A. J. Troup Australia 7 719 1.1× 596 1.0× 295 3.1× 47 1.3× 42 1.3× 11 828

Countries citing papers authored by J. Waszkewitz

Since Specialization
Citations

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

Fields of papers citing papers by J. Waszkewitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Waszkewitz

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

All Works

8 of 8 papers shown
1.
Hegerl, Gabriele C., Klaus Hasselmann, Ulrich Cubasch, et al.. (1997). Multi-fingerprint detection and attribution analysis of greenhouse gas, greenhouse gas-plus-aerosol and solar forced climate change. Climate Dynamics. 13(9). 613–634. 245 indexed citations
2.
Cubasch, Ulrich, R. Voß, Gabriele C. Hegerl, J. Waszkewitz, & Thomas J. Crowley. (1997). Simulation of the influence of solar radiation variations on the global climate with an ocean-atmosphere general circulation model. Climate Dynamics. 13(11). 757–767. 197 indexed citations
3.
Lal, Murari, Ulrich Cubasch, Judith Perlwitz, & J. Waszkewitz. (1997). Simulation of the Indian monsoon climatology in ECHAM3 climate model: sensitivity to horizontal resolution. International Journal of Climatology. 17(8). 847–858. 24 indexed citations
4.
Hegerl, Gabriele C., Klaus Hasselmann, Ulrich Cubasch, et al.. (1997). Multi-fingerprint direction and attribution analysis of greenhouse gas, greenhouse gas-plus-aerosol and solar forced climate change. Climate Dynamics. 14(1). 71–72. 2 indexed citations
5.
Cubasch, Ulrich, et al.. (1996). Simulation with an O-AGCM of the influence of variations of the solar constant on the global climate. MPG.PuRe (Max Planck Society). 18 indexed citations
6.
Cubasch, Ulrich, Hans von Storch, J. Waszkewitz, & Eduardo Zorita. (1996). Estimates of climate change in Southern Europe derived from dynamical climate model output. Climate Research. 7. 129–149. 129 indexed citations
7.
Cubasch, Ulrich, J. Waszkewitz, Gabriele C. Hegerl, & J. P. Perlwitz. (1995). Regional climate changes as simulated in time-slice experiments. Climatic Change. 31(2-4). 273–304. 118 indexed citations
8.
Hasselmann, Klaus, Lennart Bengtsson, Ulrich Cubasch, et al.. (1995). Detection of anthropogenic climate change using a fingerprint method. Max Planck Digital Library. 32 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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