Oxana Drofa

633 total citations
19 papers, 368 citations indexed

About

Oxana Drofa is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Oxana Drofa has authored 19 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atmospheric Science, 14 papers in Global and Planetary Change and 3 papers in Oceanography. Recurrent topics in Oxana Drofa's work include Meteorological Phenomena and Simulations (12 papers), Climate variability and models (10 papers) and Atmospheric and Environmental Gas Dynamics (5 papers). Oxana Drofa is often cited by papers focused on Meteorological Phenomena and Simulations (12 papers), Climate variability and models (10 papers) and Atmospheric and Environmental Gas Dynamics (5 papers). Oxana Drofa collaborates with scholars based in Italy, Germany and Lithuania. Oxana Drofa's co-authors include P. Malguzzi, A. Buzzi, Silvio Davolio, Daniele Mastrangelo, Georg Umgiesser, Christian Ferrarin, Marco Bajo, Mario Marcello Miglietta, Andrea Cucco and Aron Roland and has published in prestigious journals such as Scientific Reports, Atmospheric Environment and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Oxana Drofa

16 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oxana Drofa Italy	10	299	259	96	48	28	19	368
Carolina Barnez Gramcianinov Germany	7	212 0.7×	158 0.6×	142 1.5×	47 1.0×	14 0.5×	22	308
Victor Malagon Santos United States	8	116 0.4×	136 0.5×	55 0.6×	62 1.3×	23 0.8×	12	227
Maryam A. Lamjiri United States	10	266 0.9×	265 1.0×	29 0.3×	11 0.2×	41 1.5×	11	322
Ha Thi Minh Ho-Hagemann Germany	9	156 0.5×	142 0.5×	158 1.6×	19 0.4×	20 0.7×	18	254
Victoria Gil Spain	10	229 0.8×	224 0.9×	65 0.7×	14 0.3×	7 0.3×	17	337
Harilal B. Menon India	11	133 0.4×	122 0.5×	269 2.8×	69 1.4×	42 1.5×	28	359
Shaoping Shang China	9	225 0.8×	89 0.3×	312 3.3×	25 0.5×	21 0.8×	30	381
Ole Vignes Norway	6	211 0.7×	177 0.7×	50 0.5×	7 0.1×	15 0.5×	7	267
Hak-Soo Lim South Korea	6	87 0.3×	115 0.4×	237 2.5×	48 1.0×	26 0.9×	15	333
Karinna Nunez United States	8	176 0.6×	145 0.6×	101 1.1×	121 2.5×	27 1.0×	13	298

Countries citing papers authored by Oxana Drofa

Since Specialization

Citations

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

Fields of papers citing papers by Oxana Drofa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oxana Drofa

This figure shows the co-authorship network connecting the top 25 collaborators of Oxana Drofa. A scholar is included among the top collaborators of Oxana Drofa 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 Oxana Drofa. Oxana Drofa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Zapperi, Stefano, et al.. (2025). Improving localized weather predictions for precision agriculture: A Time-Series Mixer approach for hazardous event detection. Environmental Modelling & Software. 191. 106509–106509.

Zhong, Ping‐an, et al.. (2025). Testing machine learning algorithms as post-processing tools for hydro-meteorological modelling over a small river basin. Environmental Modelling & Software. 193. 106592–106592.

Cianelli, Daniela, et al.. (2025). Impact of wind forcing on surface transport in the Gulf of Naples. Scientific Reports. 15(1). 39588–39588.

Giorgi, Filippo, Erika Coppola, Graziano Giuliani, et al.. (2023). The Fifth Generation Regional Climate Modeling System, RegCM5: Description and Illustrative Examples at Parameterized Convection and Convection‐Permitting Resolutions. Journal of Geophysical Research Atmospheres. 128(6). 23 indexed citations

Castelli, Silvia Trini, Francesco Uboldi, G. Tinarelli, et al.. (2023). Tracing the origin of odour nuisance from citizens’ notifications with the SMART modelling system. Atmospheric Environment. 312. 119992–119992. 2 indexed citations

Petkov, Boyan, Vito Vitale, Piero Di Carlo, et al.. (2021). The 2020 Arctic ozone depletion and signs of its effect on the ozone column at lower latitudes. PubMed. 2(1-4). 8–8. 6 indexed citations

Davolio, Silvio, P. Malguzzi, Oxana Drofa, Daniele Mastrangelo, & A. Buzzi. (2020). The Piedmont flood of November 1994: a testbed of forecasting capabilities of the CNR-ISAC meteorological model suite. PubMed. 1(3-4). 263–282. 22 indexed citations

Ferrarin, Christian, Silvio Davolio, Debora Bellafiore, et al.. (2019). Cross-scale operational oceanography in the Adriatic Sea. Journal of Operational Oceanography. 12(2). 86–103. 39 indexed citations

Corazza, M., et al.. (2017). The ARPAL operational high resolution Poor Man’s Ensemble, description and validation. Atmospheric Research. 203. 1–15. 15 indexed citations

10.

Torcasio, Rosa Claudia, Stefano Federico, Claudia Roberta Calidonna, et al.. (2016). Three-model ensemble wind prediction in southern Italy. Annales Geophysicae. 34(3). 347–356. 1 indexed citations

11.

Miglietta, Mario Marcello, Dario Conte, Oxana Drofa, et al.. (2016). Heavy Rain Forecasting by Model Initialization With LAPS: A Case Study. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(6). 2619–2627. 9 indexed citations

12.

Buzzi, A., Silvio Davolio, P. Malguzzi, Oxana Drofa, & Daniele Mastrangelo. (2014). Heavy rainfall episodes over Liguria in autumn 2011: numerical forecasting experiments. Natural hazards and earth system sciences. 14(5). 1325–1340. 113 indexed citations

13.

Ferrarin, Christian, Aron Roland, Marco Bajo, et al.. (2012). Tide-surge-wave modelling and forecasting in the Mediterranean Sea with focus on the Italian coast. Ocean Modelling. 61. 38–48. 63 indexed citations

14.

Mastrangelo, Daniele, et al.. (2012). First outcomes from the CNR-ISAC monthly forecasting system. Advances in science and research. 8(1). 77–82. 6 indexed citations

15.

Malguzzi, P., A. Buzzi, & Oxana Drofa. (2011). The Meteorological Global Model GLOBO at the ISAC-CNR of Italy Assessment of 1.5 Yr of Experimental Use for Medium-Range Weather Forecasts. Weather and Forecasting. 26(6). 1045–1055. 17 indexed citations

16.

Fierli, F., et al.. (2010). A nudging scheme to assimilate satellite brightness temperature in a meteorological model: Impact on representation of African mesoscale convective systems. Quarterly Journal of the Royal Meteorological Society. 136(647). 462–474. 10 indexed citations

17.

Davolio, Silvio, Daniele Mastrangelo, Mario Marcello Miglietta, et al.. (2009). High resolution simulations of a flash flood near Venice. Natural hazards and earth system sciences. 9(5). 1671–1678. 38 indexed citations

18.

Ranzi, Roberto, et al.. (2007). A hydrometeorological flood forecasting system for the Red River (China - Vietnam). Institutional Research Information System (Università degli Studi di Brescia). 1 indexed citations

19.

Drofa, Oxana. (2003). The parameterization of microphysical processes for atmospherical numerical models. 26(3). 233–262. 3 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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