Federico Serva

2.0k total citations
21 papers, 122 citations indexed

About

Federico Serva is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Federico Serva has authored 21 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 13 papers in Atmospheric Science and 4 papers in Oceanography. Recurrent topics in Federico Serva's work include Climate variability and models (13 papers), Atmospheric Ozone and Climate (7 papers) and Meteorological Phenomena and Simulations (7 papers). Federico Serva is often cited by papers focused on Climate variability and models (13 papers), Atmospheric Ozone and Climate (7 papers) and Meteorological Phenomena and Simulations (7 papers). Federico Serva collaborates with scholars based in Italy, United Kingdom and France. Federico Serva's co-authors include Chiara Cagnazzo, Shuting Yang, Bo Christiansen, Rosalia Santoleri, Fabio Madonna, Michael Sprenger, Ernesto Napolitano, Paolo Cristofanelli, Andrea Pisano and Salvatore Marullo and has published in prestigious journals such as Remote Sensing of Environment, Geophysical Research Letters and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Federico Serva

14 papers receiving 118 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federico Serva Italy 8 78 61 31 16 12 21 122
Anin Puthukkudy United States 6 111 1.4× 97 1.6× 20 0.6× 7 0.4× 9 0.8× 10 134
R. Espinosa United States 8 195 2.5× 174 2.9× 20 0.6× 15 0.9× 10 0.8× 14 217
Nadège Montoux France 8 102 1.3× 96 1.6× 6 0.2× 14 0.9× 6 0.5× 15 128
Teresa Valkonen Norway 10 184 2.4× 251 4.1× 28 0.9× 7 0.4× 6 0.5× 15 266
Munn Vinayak Shukla India 9 166 2.1× 183 3.0× 22 0.7× 6 0.4× 7 0.6× 28 223
Yang Lyu China 7 76 1.0× 96 1.6× 14 0.5× 8 0.5× 2 0.2× 22 129
F. Pasternak France 6 70 0.9× 72 1.2× 11 0.4× 2 0.1× 10 0.8× 16 113
Grigorii Kokhanenko Russia 8 152 1.9× 114 1.9× 10 0.3× 7 0.4× 16 1.3× 52 180
Katherine Osterried Switzerland 3 127 1.6× 132 2.2× 13 0.4× 8 0.5× 3 0.3× 4 169

Countries citing papers authored by Federico Serva

Since Specialization
Citations

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

Fields of papers citing papers by Federico Serva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Serva

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Serva. A scholar is included among the top collaborators of Federico Serva 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 Federico Serva. Federico Serva 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
2.
Serva, Federico, et al.. (2025). MUMUCD: A Multimodal Multiclass Change Detection Dataset. IEEE Geoscience and Remote Sensing Letters. 22. 1–5.
3.
4.
Organelli, Emanuele, Federico Serva, Marco Bellacicco, et al.. (2024). Phytoplankton Spring Bloom Inhibited by Marine Heatwaves in the North‐Western Mediterranean Sea. Geophysical Research Letters. 51(20). 8 indexed citations
5.
Sebastianelli, Alessandro, Federico Serva, Andrea Ceschini, et al.. (2024). Machine learning forecast of surface solar irradiance from meteo satellite data. Remote Sensing of Environment. 315. 114431–114431. 3 indexed citations
6.
Ebel, Patrick, Brandon Victor, Peter Naylor, et al.. (2024). Implicit Assimilation of Sparse In Situ Data for Dense & Global Storm Surge Forecasting. 471–480.
7.
Serva, Federico, Bo Christiansen, Paolo Davini, et al.. (2024). Changes in Stratospheric Dynamics Simulated by the EC‐Earth Model From CMIP5 to CMIP6. Journal of Advances in Modeling Earth Systems. 16(4). 3 indexed citations
8.
Liberto, Luca Di, F. Colao, Federico Serva, et al.. (2024). Polar Stratospheric Cloud Observations at Concordia Station by Remotely Controlled Lidar Observatory. Remote Sensing. 16(12). 2228–2228.
9.
Meoni, Gabriele, et al.. (2024). Unlocking the Use of Raw Multispectral Earth Observation Imagery for Onboard Artificial Intelligence. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 12521–12537. 9 indexed citations
10.
Madonna, Fabio, et al.. (2023). Uncertainties on Climate Extreme Indices Estimated From U.S. Climate Reference Network (USCRN) Near‐Surface Temperatures. Journal of Geophysical Research Atmospheres. 128(11). 3 indexed citations
11.
Marullo, Salvatore, Federico Serva, R. Iacono, et al.. (2023). Record-breaking persistence of the 2022/23 marine heatwave in the Mediterranean Sea. Environmental Research Letters. 18(11). 114041–114041. 25 indexed citations
12.
Madonna, Fabio, et al.. (2023). Assessment of NA‐CORDEX regional climate models, reanalysis and in situ gridded‐observational data sets against the U.S. Climate Reference Network. International Journal of Climatology. 44(1). 305–327. 3 indexed citations
13.
Serva, Federico, James Anstey, Andrew C. Bushell, et al.. (2022). The impact of the QBO on the region of the tropical tropopause in QBOi models: Present‐day simulations. Quarterly Journal of the Royal Meteorological Society. 148(745). 1945–1964. 10 indexed citations
14.
Cagnazzo, Chiara, Fabio Madonna, Paolo Cristofanelli, et al.. (2022). Intercomparison of Atmospheric Upper-Air Temperature From Recent Global Reanalysis Datasets. Frontiers in Earth Science. 10. 5 indexed citations
15.
Madonna, Fabio, Federico Serva, Monica Proto, et al.. (2021). The New Radiosounding HARMonization (RHARM) Data Set of Homogenized Radiosounding Temperature, Humidity, and Wind Profiles With Uncertainties. Journal of Geophysical Research Atmospheres. 127(2). 13 indexed citations
16.
Cristofanelli, Paolo, Federico Serva, F. Calzolari, et al.. (2021). Negative ozone anomalies at a high mountain site in northern Italy during 2020: a possible role of COVID-19 lockdowns?. Environmental Research Letters. 16(7). 74029–74029. 15 indexed citations
18.
Serva, Federico, Chiara Cagnazzo, Bo Christiansen, & Shuting Yang. (2020). The influence of ENSO events on the stratospheric QBO in a multi-model ensemble. Climate Dynamics. 54(3-4). 2561–2575. 15 indexed citations
19.
Serva, Federico, Chiara Cagnazzo, Bo Christiansen, & Shuting Yang. (2020). The influence of the tropical troposphere on the QBO in model simulations.
20.
Serva, Federico, Chiara Cagnazzo, Angelo Riccio, & Elisa Manzini. (2018). Impact of a Stochastic Nonorographic Gravity Wave Parameterization on the Stratospheric Dynamics of a General Circulation Model. Journal of Advances in Modeling Earth Systems. 10(9). 2147–2162. 7 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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