P. H. Lauritzen

9.5k total citations · 3 hit papers
69 papers, 3.9k citations indexed

About

P. H. Lauritzen is a scholar working on Atmospheric Science, Global and Planetary Change and Computational Mechanics. According to data from OpenAlex, P. H. Lauritzen has authored 69 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Atmospheric Science, 34 papers in Global and Planetary Change and 18 papers in Computational Mechanics. Recurrent topics in P. H. Lauritzen's work include Meteorological Phenomena and Simulations (44 papers), Climate variability and models (28 papers) and Computational Fluid Dynamics and Aerodynamics (18 papers). P. H. Lauritzen is often cited by papers focused on Meteorological Phenomena and Simulations (44 papers), Climate variability and models (28 papers) and Computational Fluid Dynamics and Aerodynamics (18 papers). P. H. Lauritzen collaborates with scholars based in United States, Canada and Germany. P. H. Lauritzen's co-authors include Richard Neale, Ramachandran D. Nair, Mark A. Taylor, Jadwiga H. Richter, Philip J. Rasch, Sungsu Park, Minghua Zhang, Stephen J. Vavrus, Julio T. Bacmeister and Francis Vitt and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Journal of Computational Physics.

In The Last Decade

P. H. Lauritzen

67 papers receiving 3.9k citations

Hit Papers

The Mean Climate of the Community Atmosphere Model (CAM4)... 2012 2026 2016 2021 2013 2012 2018 200 400 600

Peers

P. H. Lauritzen
Comparison fields: 5 of 94
  • Atmospheric Science 3.1k
  • Global and Planetary Change 2.4k
  • Oceanography 616
  • Computational Mechanics 600
  • Astronomy and Astrophysics 593
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Citations per field, relative to P. H. Lauritzen
P. H. Lauritzen · 1×
Citations per year, relative to P. H. Lauritzen
P. H. Lauritzen · 1×

Countries citing papers authored by P. H. Lauritzen

Since Specialization
Citations

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

Fields of papers citing papers by P. H. Lauritzen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. H. Lauritzen

This figure shows the co-authorship network connecting the top 25 collaborators of P. H. Lauritzen. A scholar is included among the top collaborators of P. H. Lauritzen 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 P. H. Lauritzen. P. H. Lauritzen 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
# Work Indexed citations
1 0
2 7
3 17
4 0
5 21
6 14
7 14
8 106
9 45
10 10
11 18
12
Development and Validation of the Whole Atmosphere Community Climate Model With Thermosphere and Ionosphere Extension (WACCM‐X 2.0) breakdown →
279
13 49
14 111
15 31
16 15
17 9
18
The 2012 Dynamical Core Model Intercomparison Project (DCMIP)
2
19 19
20
An Intercomparison of 10 Atmospheric Model Dynamical Cores
3

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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