Peter Wind

56 papers receiving 1.5k citations

Hit Papers

The EMEP MSC-W chemical transport model – technical description 2012 · 517 citations
5172012202620162021100200300400500

Peers

Peter Wind
Comparison fields: 5 of 101
  • Atmospheric Science 890
  • Health, Toxicology and Mutagenesis 684
  • Automotive Engineering 239
  • Global and Planetary Change 415
  • Environmental Engineering 258
Replace Domenico Taraborrelli with:
Domenico Taraborrelli Germany
P. J. Crutzen Germany
J. Dignon United States
Jared D. Smith United States
Claire Granier France
Y. Viisanen Finland
Astrid Kiendler‐Scharr Germany
A. O. Langford United States
E. J. Dunlea United States
Peter Wind relative to Domenico Taraborrelli Germany Domenico Taraborrelli's profile →
Citations per field
00.5×2.6×
Domenico Taraborrelli · 1×
Citations per year

Countries citing papers authored by Peter Wind

Since Specialization
Citations

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

Fields of papers citing papers by Peter Wind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Wind, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Wind Line = papers co-authored together Peter Wind links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The EMEP MSC-W chemical transport model – technical description
Hit paper breakdown →
2012517
2 2010141
3 201483
4 201283
5 201582
6 200865
7 201839
8 200238
9 201332
10 202031
11 199229
12 202128
13 202024
14 201824
15 199222
16 201221
17 199320
18 199220
19 200117
20 199316

About Peter Wind

Peter Wind is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis, Atomic and Molecular Physics, and Optics, Physical and Theoretical Chemistry and Global and Planetary Change, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (21 papers), Advanced Chemical Physics Studies (17 papers), Air Quality and Health Impacts (14 papers), Atmospheric and Environmental Gas Dynamics (10 papers), Atmospheric Ozone and Climate (9 papers), Quantum, superfluid, helium dynamics (8 papers), Theoretical and Computational Physics (5 papers) and Atomic and Molecular Physics (5 papers). The work is most often cited by research in Atmospheric Science (890 citations), Health, Toxicology and Mutagenesis (684 citations), Automotive Engineering (239 citations), Global and Planetary Change (415 citations) and Environmental Engineering (258 citations). Peter Wind has collaborated with scholars based in Norway, France and Sweden. Frequent co-authors include David Simpson, Á. Nyíri, Michael Gauss, I. Røeggen, Hilde Fagerli, Álvaro Valdebenito, R. W. Bergstrom, Jan Eiof Jonson, Cornelia Richter and Michael E. Jenkin. Their work appears in journals such as Atmospheric chemistry and physics, Chemical Physics, Geoscientific model development, The Journal of Chemical Physics and Journal of Chemical Theory and Computation.

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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