P. H. Lauritzen
- Atmospheric Science top 0.5%
- Global and Planetary Change top 0.5%
- Oceanography top 2%
- Computational Mechanics top 2%
- Astronomy and Astrophysics top 5%
- Co-authors
- Richard NealeRamachandran D. NairMark A. TaylorJadwiga H. RichterPhilip J. RaschSungsu ParkMinghua ZhangStephen J. Vavrus
- Topics
- Meteorological Phenomena and Simulations (44 papers)Climate variability and models (28 papers)Computational Fluid Dynamics and Aerodynamics (18 papers)
- Journals
- Journal of Geophysical Research AtmospheresJournal of ClimateJournal of Computational Physics
- Partner nations
- United StatesCanadaGermany
In The Last Decade
P. H. Lauritzen
67 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Atmospheric Science 3.1k
- Global and Planetary Change 2.4k
- Oceanography 616
- Computational Mechanics 600
- Astronomy and Astrophysics 593
Countries citing papers authored by P. H. Lauritzen
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
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
| # | 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 |
About P. H. Lauritzen
P. H. Lauritzen is a scholar working on Atmospheric Science, Global and Planetary Change and Computational Mechanics, having authored 69 papers that have together received 3.9k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (44 papers), Climate variability and models (28 papers) and Computational Fluid Dynamics and Aerodynamics (18 papers). The work is most often cited by research in Atmospheric Science (3.1k citations), Global and Planetary Change (2.4k citations) and Oceanography (616 citations). P. H. Lauritzen has collaborated with scholars based in United States, Canada and Germany. Frequent 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. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Journal of Computational Physics.
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.