P. Wang

913 citations
15 papers · 542 indexed · h-index 12

Impact in

    • Atmospheric chemistry and aerosols
    • Atmospheric Ozone and Climate
    • Meteorological Phenomena and Simulations
    • Atmospheric aerosols and clouds
    • Atmospheric and Environmental Gas Dynamics

Papers in

P. Wang

15 papers receiving 532 citations

Peers

P. Wang
Comparison fields: 5 of 31
  • Atmospheric Science 458
  • Global and Planetary Change 474
  • Environmental Engineering 39
  • Artificial Intelligence 67
  • Health, Toxicology and Mutagenesis 19
Replace Bruno Dürr with:
Bruno Dürr Switzerland
Moguo Sun United States
Michele L. Nordeen United States
Nandana Amarasinghe United States
David S. Henderson United States
Béatrice Morel France
A. Untch United Kingdom
J. Berndt United States
Anja Hünerbein Germany
A. Dethof United Kingdom
P. Wang relative to Bruno Dürr Switzerland Bruno Dürr's profile →
Citations per field
00.5×1.5×2.1×
Bruno Dürr · 1×
Citations per year

Countries citing papers authored by P. Wang

Since Specialization
Citations

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

Fields of papers citing papers by P. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside P. Wang, 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 P. Wang Line = papers co-authored together P. Wang links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2008175
2 201773
3 201265
4 201347
5 201134
6 201133
7 201232
8 201120
9 201318
10 201015
11 201414
12 201412
13 20152
14 20111
15
Parallel Optimization of an Earth System Model (100 Gigaflops and Beyond
19971

About P. Wang

P. Wang is a scholar working on Atmospheric Science, Global and Planetary Change, Artificial Intelligence, Computer Networks and Communications and Oceanography, having authored 15 papers that have together received 542 indexed citations. Recurring topics across this work include Atmospheric Ozone and Climate (12 papers), Atmospheric chemistry and aerosols (8 papers), Atmospheric and Environmental Gas Dynamics (8 papers), Atmospheric aerosols and clouds (7 papers), Solar Radiation and Photovoltaics (3 papers), Geophysics and Gravity Measurements (1 paper), Scientific Computing and Data Management (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Atmospheric Science (458 citations), Global and Planetary Change (474 citations), Environmental Engineering (39 citations), Artificial Intelligence (67 citations) and Health, Toxicology and Mutagenesis (19 citations). P. Wang has collaborated with scholars based in Netherlands, Germany and Switzerland. Frequent co-authors include P. Stammes, L. G. Tilstra, Michel Van Roozendaël, Gaïa Pinardi, O. N. E. Tuinder, Martin de Graaf, Wouter Greuell, Jan Fokke Meirink, Piet Stammes and Ankie Piters. Their work appears in journals such as Atmospheric measurement techniques, Atmospheric chemistry and physics, Journal of Geophysical Research Atmospheres, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

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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