D. Zupanski

1.7k total citations
30 papers, 1.1k citations indexed

About

D. Zupanski is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, D. Zupanski has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Atmospheric Science, 28 papers in Global and Planetary Change and 6 papers in Environmental Engineering. Recurrent topics in D. Zupanski's work include Meteorological Phenomena and Simulations (25 papers), Climate variability and models (22 papers) and Atmospheric aerosols and clouds (6 papers). D. Zupanski is often cited by papers focused on Meteorological Phenomena and Simulations (25 papers), Climate variability and models (22 papers) and Atmospheric aerosols and clouds (6 papers). D. Zupanski collaborates with scholars based in United States, South Korea and China. D. Zupanski's co-authors include Milija Županski, Fedor Mesinger, Scott Denning, Wouter Peters, J. B. Miller, Tomislava Vukićević, Lori Bruhwiler, A. Hirsch, Jeffrey S. Whitaker and I. M. Navon and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Monthly Weather Review.

In The Last Decade

D. Zupanski

30 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Zupanski United States 17 1.0k 976 174 79 52 30 1.1k
Catherine Rio France 24 1.4k 1.4× 1.4k 1.5× 186 1.1× 188 2.4× 30 0.6× 35 1.7k
Pierre Bénard France 14 1.1k 1.1× 943 1.0× 286 1.6× 190 2.4× 35 0.7× 31 1.4k
Detlev Majewski Germany 8 1.1k 1.1× 953 1.0× 165 0.9× 126 1.6× 76 1.5× 13 1.3k
Andrea Piacentini France 20 684 0.7× 667 0.7× 99 0.6× 107 1.4× 111 2.1× 50 859
Drasko Vasiljevic United Kingdom 10 1.0k 1.0× 800 0.8× 346 2.0× 159 2.0× 67 1.3× 13 1.1k
Michael S. Fox‐Rabinovitz United States 18 938 0.9× 794 0.8× 177 1.0× 129 1.6× 29 0.6× 43 1.1k
Junichi Ishida Japan 6 743 0.7× 594 0.6× 98 0.6× 144 1.8× 24 0.5× 8 916
Ricardo Todling United States 22 1.7k 1.6× 1.5k 1.6× 258 1.5× 346 4.4× 81 1.6× 57 1.9k
Jean Pailleux France 15 1.2k 1.1× 1.1k 1.1× 185 1.1× 179 2.3× 27 0.5× 27 1.3k
Frederick H. Carr United States 16 1.2k 1.2× 1.1k 1.1× 315 1.8× 105 1.3× 30 0.6× 32 1.4k

Countries citing papers authored by D. Zupanski

Since Specialization
Citations

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

Fields of papers citing papers by D. Zupanski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Zupanski

This figure shows the co-authorship network connecting the top 25 collaborators of D. Zupanski. A scholar is included among the top collaborators of D. Zupanski 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 D. Zupanski. D. Zupanski 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.
Gorbunov, M. E., Răzvan Ştefanescu, V. Irisov, & D. Zupanski. (2019). Variational Assimilation of Radio Occultation Observations into Numerical Weather Prediction Models: Equations, Strategies, and Algorithms. Remote Sensing. 11(24). 2886–2886. 7 indexed citations
2.
Lee, Ebony, Milija Županski, D. Zupanski, & Seon Ki Park. (2017). Impact of the OMI aerosol optical depth on analysis increments through coupled meteorology–aerosol data assimilation for an Asian dust storm. Remote Sensing of Environment. 193. 38–53. 16 indexed citations
3.
Zupanski, D., Milija Županski, Lewis D. Grasso, et al.. (2011). Assimilating synthetic GOES-R radiances in cloudy conditions using an ensemble-based method. International Journal of Remote Sensing. 32(24). 9637–9659. 23 indexed citations
4.
Jankov, Isidora, Lewis D. Grasso, Manajit Sengupta, et al.. (2011). An Evaluation of Five ARW-WRF Microphysics Schemes Using Synthetic GOES Imagery for an Atmospheric River Event Affecting the California Coast. Journal of Hydrometeorology. 12(4). 618–633. 58 indexed citations
5.
Zupanski, D., et al.. (2010). Applications of data assimilation methodologies in wind power forecasting. EGUGA. 18(3-4). 7652–711. 3 indexed citations
6.
Rajković, Borivoj, et al.. (2009). Soil model parameter estimation with ensemble data assimilation. Atmospheric Science Letters. 10(2). 127–131. 5 indexed citations
7.
Lokupitiya, R. S., D. Zupanski, Scott Denning, et al.. (2008). Estimation of global CO2 fluxes at regional scale using the maximum likelihood ensemble filter. Journal of Geophysical Research Atmospheres. 113(D20). 37 indexed citations
8.
Carrió, G. G., William R. Cotton, D. Zupanski, & Milija Županski. (2008). Development of an Aerosol Retrieval Method: Description and Preliminary Tests. Journal of Applied Meteorology and Climatology. 47(11). 2760–2776. 6 indexed citations
9.
Županski, Milija, I. M. Navon, & D. Zupanski. (2008). The Maximum Likelihood Ensemble Filter as a non‐differentiable minimization algorithm. Quarterly Journal of the Royal Meteorological Society. 134(633). 1039–1050. 53 indexed citations
10.
Zupanski, D., Arthur Y. Hou, Sara Q. Zhang, et al.. (2007). Applications of information theory in ensemble data assimilation. Quarterly Journal of the Royal Meteorological Society. 133(627). 1533–1545. 36 indexed citations
11.
Zupanski, D. & Milija Županski. (2006). Model Error Estimation Employing an Ensemble Data Assimilation Approach. Monthly Weather Review. 134(5). 1337–1354. 97 indexed citations
12.
Peters, Wouter, J. B. Miller, Jeffrey S. Whitaker, et al.. (2005). An ensemble data assimilation system to estimate CO 2 surface fluxes from atmospheric trace gas observations. Journal of Geophysical Research Atmospheres. 110(D24). 164 indexed citations
13.
Carrió, G. G., William R. Cotton, & D. Zupanski. (2005). Data Assimilation into a LES Model: Retrieval of IFN and CCN Concentrations. 1 indexed citations
14.
Zupanski, D., et al.. (2005). Leaf-to-Canopy Scaling of Carbon, Energy, and Moisture Fluxes in the Simple Biosphere Model (SiB). AGU Fall Meeting Abstracts. 2005. 1 indexed citations
15.
Carrió, G. G., William R. Cotton, & D. Zupanski. (2005). Retrieval of Cloud-nucleating Aerosol in Arctic Stratus Clouds. AGUFM. 2005. 1 indexed citations
16.
Županski, Milija, et al.. (2005). CIRA/CSU Four-Dimensional Variational Data Assimilation System. Monthly Weather Review. 133(4). 829–843. 41 indexed citations
17.
Vukićević, Tomislava, Thomas J. Greenwald, Milija Županski, et al.. (2004). Mesoscale Cloud State Estimation from Visible and Infrared Satellite Radiances. Monthly Weather Review. 132(12). 3066–3077. 60 indexed citations
18.
Zupanski, D., Milija Županski, Eric Rogers, David Parrish, & Geoffrey J. DiMego. (2002). Fine-Resolution 4DVAR Data Assimilation for the Great Plains Tornado Outbreak of 3 May 1999. Weather and Forecasting. 17(3). 506–525. 16 indexed citations
19.
Zupanski, D. & Fedor Mesinger. (1995). Four-Dimensional Variational Assimilation of Precipitation Data. Monthly Weather Review. 123(4). 1112–1127. 110 indexed citations
20.
Zupanski, D.. (1993). The effects of discontinuities in the Betts-Miller cumulus convection scheme on four-dimensional variational data assimilation. Tellus A Dynamic Meteorology and Oceanography. 45(5). 511–524. 26 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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