W. P. Dannevik

645 total citations
22 papers, 425 citations indexed

About

W. P. Dannevik is a scholar working on Computational Mechanics, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, W. P. Dannevik has authored 22 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Mechanics, 6 papers in Atmospheric Science and 6 papers in Environmental Engineering. Recurrent topics in W. P. Dannevik's work include Fluid Dynamics and Turbulent Flows (8 papers), Meteorological Phenomena and Simulations (5 papers) and Climate variability and models (4 papers). W. P. Dannevik is often cited by papers focused on Fluid Dynamics and Turbulent Flows (8 papers), Meteorological Phenomena and Simulations (5 papers) and Climate variability and models (4 papers). W. P. Dannevik collaborates with scholars based in United States. W. P. Dannevik's co-authors include Victor Yakhot, Steven A. Orszag, A.A. Mirin, Rudolf B. Husar, B. B. Hicks, M. L. Wesely, Paul R. Woodward, David H. Porter, A. M. Dimits and Ronald H. Cohen and has published in prestigious journals such as Computer Physics Communications, Physics of Fluids and International Journal of Applied Earth Observation and Geoinformation.

In The Last Decade

W. P. Dannevik

21 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. P. Dannevik United States 9 169 136 95 54 51 22 425
Andrew Zardecki United States 15 100 0.6× 85 0.6× 204 2.1× 41 0.8× 90 1.8× 31 505
Donna Calhoun United States 9 376 2.2× 88 0.6× 78 0.8× 14 0.3× 184 3.6× 23 786
John Clyne United States 11 99 0.6× 110 0.8× 61 0.6× 15 0.3× 41 0.8× 27 586
Noel D. Keen United States 9 94 0.6× 52 0.4× 132 1.4× 28 0.5× 66 1.3× 18 519
Claude Basdevant France 16 450 2.7× 306 2.3× 200 2.1× 13 0.2× 151 3.0× 24 884
Margarete Oliveira Domingues Brazil 13 227 1.3× 100 0.7× 37 0.4× 4 0.1× 37 0.7× 67 666
W. P. Crowley United States 7 217 1.3× 120 0.9× 67 0.7× 8 0.1× 67 1.3× 19 462
Alireza Hadjighasem United States 7 207 1.2× 172 1.3× 115 1.2× 6 0.1× 39 0.8× 9 559
A. Fournier United States 13 236 1.4× 548 4.0× 404 4.3× 14 0.3× 93 1.8× 43 838
Kalin Kanov United States 6 213 1.3× 34 0.3× 51 0.5× 30 0.6× 62 1.2× 10 355

Countries citing papers authored by W. P. Dannevik

Since Specialization
Citations

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

Fields of papers citing papers by W. P. Dannevik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. P. Dannevik

This figure shows the co-authorship network connecting the top 25 collaborators of W. P. Dannevik. A scholar is included among the top collaborators of W. P. Dannevik 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 W. P. Dannevik. W. P. Dannevik 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
1.
Hartling, Sean, et al.. (2021). Estimating tree-related power outages for regional utility network using airborne LiDAR data and spatial statistics. International Journal of Applied Earth Observation and Geoinformation. 100. 102330–102330. 17 indexed citations
2.
Pan, Zaitao, et al.. (2008). Modeling Soybean Rust Spore Escape from Infected Canopies: Model Description and Preliminary Results. Journal of Applied Meteorology and Climatology. 48(4). 789–803. 17 indexed citations
3.
Wehner, Michael, John Ambrosiano, J. C. Brown, et al.. (2002). Toward a high performance distributed memory climate model. 17. 102–113. 6 indexed citations
4.
Cohen, Ronald H., W. P. Dannevik, A. M. Dimits, et al.. (2002). Three-dimensional simulation of a Richtmyer–Meshkov instability with a two-scale initial perturbation. Physics of Fluids. 14(10). 3692–3709. 69 indexed citations
5.
Mirin, A.A., R. H. Cohen, W. P. Dannevik, et al.. (1999). Very high resolution simulation of compressible turbulence on the IBM-SP system. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 70–70. 69 indexed citations
6.
Wehner, Michael, et al.. (1995). Performance of a distributed memory finite difference atmospheric general circulation model. Parallel Computing. 21(10). 1655–1675. 23 indexed citations
7.
Mirin, A.A., John Ambrosiano, Al Bourgeois, et al.. (1994). Climate system modeling using a domain and task decomposition message-passing approach. Computer Physics Communications. 84(1-3). 278–296. 6 indexed citations
8.
Mirin, A.A., et al.. (1993). Performance of a Portable, Parallel Atmospheric General Circulation Model.. PPSC. 101. 92–95. 1 indexed citations
9.
Procassini, R.J., et al.. (1993). Porting a global ocean model onto a shared-memory multiprocessor: Observations and guidelines. The Journal of Supercomputing. 7(3). 287–321. 2 indexed citations
10.
Malone, R. C., Robert M. Chervin, Richard D. Smith, W. P. Dannevik, & John B. Drake. (1991). Computing climate change. 676–676. 1 indexed citations
11.
Koniges, Alice, et al.. (1991). Equilibrium spectra and implications for a two-field turbulence model. Physics of Fluids B Plasma Physics. 3(5). 1297–1299. 16 indexed citations
12.
Canuto, V. M., et al.. (1988). A direct interaction approximation treatment of high Rayleigh number convective turbulence and comparison with experiment. The Physics of Fluids. 31(2). 256–262. 2 indexed citations
13.
Dannevik, W. P., Victor Yakhot, & Steven A. Orszag. (1987). Analytical theories of turbulence and the ε expansion. The Physics of Fluids. 30(7). 2021–2029. 89 indexed citations
14.
Dannevik, W. P.. (1986). Efficient solution of non-Markovian covariance evolution equations in fluid turbulence. Journal of Scientific Computing. 1(2). 151–182. 8 indexed citations
15.
Dannevik, W. P.. (1985). Two-Point Closure Study of Covariance Budgets for Turbulent Rayleigh-Benard Convection. PhDT. 1 indexed citations
16.
Dannevik, W. P., et al.. (1978). Analysis of meteorological conditions during the 1977 Anclote Keys Plume Study. Final report, February--November 1977. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
17.
Husar, Rudolf B., Edward S. Macias, & W. P. Dannevik. (1977). Measurement of dispersion with a fast response aerosol detector. 293–298. 8 indexed citations
18.
Wesely, M. L., et al.. (1977). An eddy-correlation measurement of particulate deposition from the atmosphere. Atmospheric Environment (1967). 11(6). 561–563. 79 indexed citations
19.
Dannevik, W. P., et al.. (1973). Martian thermal boundary layers: Subhourly variations induced by radiative-conductive heat transfer within the dust-laden atmosphere-ground system. 3 indexed citations
20.
Dannevik, W. P., et al.. (1972). Transient variation of martian ground-atmosphere thermal boundary layer structure.. 288. 1 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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