D. B. Kirk‐Davidoff

1.7k total citations
24 papers, 1.0k citations indexed

About

D. B. Kirk‐Davidoff is a scholar working on Global and Planetary Change, Atmospheric Science and Aerospace Engineering. According to data from OpenAlex, D. B. Kirk‐Davidoff has authored 24 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 13 papers in Atmospheric Science and 5 papers in Aerospace Engineering. Recurrent topics in D. B. Kirk‐Davidoff's work include Atmospheric and Environmental Gas Dynamics (8 papers), Atmospheric Ozone and Climate (7 papers) and Climate variability and models (7 papers). D. B. Kirk‐Davidoff is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (8 papers), Atmospheric Ozone and Climate (7 papers) and Climate variability and models (7 papers). D. B. Kirk‐Davidoff collaborates with scholars based in United States, China and Greece. D. B. Kirk‐Davidoff's co-authors include Costas A. Varotsos, David W. Keith, James G. Anderson, Eric J. Hintsa, Ning Zeng, Eugenia Kalnay, Eviatar Bach, Yan Li, Fred Kucharski and Safa Motesharrei and has published in prestigious journals such as Nature, Science and Journal of Geophysical Research Atmospheres.

In The Last Decade

D. B. Kirk‐Davidoff

22 papers receiving 983 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. B. Kirk‐Davidoff United States 14 493 455 250 233 130 24 1.0k
Alessandro Damiani Japan 22 870 1.8× 706 1.6× 179 0.7× 57 0.2× 234 1.8× 82 1.7k
M. Petrakis Greece 22 535 1.1× 667 1.5× 568 2.3× 47 0.2× 225 1.7× 50 1.5k
Mark Reyers Germany 20 1.0k 2.1× 1.1k 2.4× 87 0.3× 179 0.8× 34 0.3× 42 1.6k
Xiaoqing Gao China 21 284 0.6× 276 0.6× 305 1.2× 40 0.2× 335 2.6× 84 1.2k
W. R. Moninger United States 15 1.2k 2.4× 977 2.1× 271 1.1× 171 0.7× 53 0.4× 36 1.5k
Felipe M. Pimenta Brazil 13 224 0.5× 106 0.2× 84 0.3× 249 1.1× 75 0.6× 49 813
Juan P. Díaz Spain 19 832 1.7× 830 1.8× 92 0.4× 55 0.2× 94 0.7× 60 1.2k
Maria Fabrizia Buongiorno Italy 23 467 0.9× 380 0.8× 291 1.2× 299 1.3× 245 1.9× 95 1.7k
Hartmut Bösch United Kingdom 25 1.8k 3.7× 2.0k 4.5× 199 0.8× 41 0.2× 117 0.9× 51 2.6k

Countries citing papers authored by D. B. Kirk‐Davidoff

Since Specialization
Citations

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

Fields of papers citing papers by D. B. Kirk‐Davidoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. B. Kirk‐Davidoff. 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. B. Kirk‐Davidoff. The network helps show where D. B. Kirk‐Davidoff may publish in the future.

Co-authorship network of co-authors of D. B. Kirk‐Davidoff

This figure shows the co-authorship network connecting the top 25 collaborators of D. B. Kirk‐Davidoff. A scholar is included among the top collaborators of D. B. Kirk‐Davidoff 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. B. Kirk‐Davidoff. D. B. Kirk‐Davidoff 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.
Wang, Qin, Miguel A. Ortega‐Vazquez, Aidan Tuohy, et al.. (2025). Assessing Dynamic Reserves vs. Stochastic Optimization for Effective Integration of Operating Probabilistic Forecasts. IEEE Transactions on Sustainable Energy. 16(3). 2132–2143. 1 indexed citations
2.
Wilczak, James M., et al.. (2025). Wind and solar energy droughts: Potential impacts on energy system dynamics and research needs. Journal of Renewable and Sustainable Energy. 17(2).
3.
Saleska, S. R., Steven C. Wofsy, David S. Battisti, et al.. (2025). What Is Endangered Now? Climate Science at the Crossroads. AGU Advances. 6(3). 1 indexed citations
4.
Wang, Qin, Aidan Tuohy, Miguel A. Ortega‐Vazquez, et al.. (2023). Quantifying the value of probabilistic forecasting for power system operation planning. Applied Energy. 343. 121254–121254. 4 indexed citations
5.
Zeng, Ning, Kejun Jiang, Pengfei Han, et al.. (2022). The Chinese Carbon-Neutral Goal: Challenges and Prospects. Advances in Atmospheric Sciences. 39(8). 1229–1238. 74 indexed citations
6.
Freedman, Jeffrey, et al.. (2019). High-Resolution Dynamic Downscaling of CMIP5 Model Data to Assess the Effects of Climate Change on Renewable Energy Distribution in New York State. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
7.
Dabar, Omar Assowe, et al.. (2019). Wind resource assessment and economic analysis for electricity generation in three locations of the Republic of Djibouti. Energy. 185. 884–894. 41 indexed citations
8.
Li, Yan, Eugenia Kalnay, Safa Motesharrei, et al.. (2018). Climate model shows large-scale wind and solar farms in the Sahara increase rain and vegetation. Science. 361(6406). 1019–1022. 173 indexed citations
9.
Kirk‐Davidoff, D. B., et al.. (2010). Weather response to a large wind turbine array. Atmospheric chemistry and physics. 10(2). 769–775. 71 indexed citations
10.
Kirk‐Davidoff, D. B.. (2009). On the diagnosis of climate sensitivity using observations of fluctuations. Atmospheric chemistry and physics. 9(3). 813–822. 17 indexed citations
11.
Kirk‐Davidoff, D. B., et al.. (2009). Weather response to management of a large wind turbine array. 10 indexed citations
12.
Murphy, Lisa N., D. B. Kirk‐Davidoff, N. M. Mahowald, & Bette L. Otto‐Bliesner. (2009). A numerical study of the climate response to lowered Mediterranean Sea level during the Messinian Salinity Crisis. Palaeogeography Palaeoclimatology Palaeoecology. 279(1-2). 41–59. 42 indexed citations
13.
Kirk‐Davidoff, D. B. & Jean‐François Lamarque. (2008). Maintenance of polar stratospheric clouds in a moist stratosphere. Climate of the past. 4(1). 69–78. 8 indexed citations
14.
Kirk‐Davidoff, D. B. & David W. Keith. (2008). On the Climate Impact of Surface Roughness Anomalies. Journal of the Atmospheric Sciences. 65(7). 2215–2234. 78 indexed citations
15.
Varotsos, Costas A. & D. B. Kirk‐Davidoff. (2006). Long-memory processes in ozone and temperature variations at the region 60° S–60° N. Atmospheric chemistry and physics. 6(12). 4093–4100. 163 indexed citations
16.
Kirk‐Davidoff, D. B., R. M. Goody, & James G. Anderson. (2005). Analysis of Sampling Errors for Climate Monitoring Satellites. Journal of Climate. 18(6). 810–822. 25 indexed citations
17.
Kirk‐Davidoff, D. B., Daniel P. Schrag, & James G. Anderson. (2002). On the feedback of stratospheric clouds on polar climate. Geophysical Research Letters. 29(11). 45 indexed citations
18.
Weinstock, E. M., Eric J. Hintsa, D. B. Kirk‐Davidoff, et al.. (2001). Constraints on the seasonal cycle of stratospheric water vapor using in situ measurements from the ER‐2 and a CO photochemical clock. Journal of Geophysical Research Atmospheres. 106(D19). 22707–22724. 9 indexed citations
19.
Kirk‐Davidoff, D. B. & Richard S. Lindzen. (2000). An Energy Balance Model Based on Potential Vorticity Homogenization. Journal of Climate. 13(2). 431–448. 18 indexed citations
20.
Lindzen, Richard S., Ben P. Kirtman, D. B. Kirk‐Davidoff, & Edwin K. Schneider. (1995). Seasonal Surrogate for Climate. Journal of Climate. 8(6). 1681–1684. 21 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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