Francesco Sermi

472 total citations
30 papers, 306 citations indexed

About

Francesco Sermi is a scholar working on Aerospace Engineering, Transportation and Epidemiology. According to data from OpenAlex, Francesco Sermi has authored 30 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Aerospace Engineering, 8 papers in Transportation and 6 papers in Epidemiology. Recurrent topics in Francesco Sermi's work include Radar Systems and Signal Processing (9 papers), Radio Wave Propagation Studies (8 papers) and Human Mobility and Location-Based Analysis (7 papers). Francesco Sermi is often cited by papers focused on Radar Systems and Signal Processing (9 papers), Radio Wave Propagation Studies (8 papers) and Human Mobility and Location-Based Analysis (7 papers). Francesco Sermi collaborates with scholars based in Italy, Belgium and United States. Francesco Sermi's co-authors include D. Tarchi, Michele Vespe, Spyridon Spyratos, Stefano M. Iacus, Carlos A. Santamaria, Alessandro Annunziato, Fabrizio Cuccoli, Luca Facheris, Ciro Gioia and Alfredo Alessandrini and has published in prestigious journals such as PLoS ONE, Sensors and IEEE Transactions on Aerospace and Electronic Systems.

In The Last Decade

Francesco Sermi

29 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Sermi Italy 9 98 94 58 54 45 30 306
Bert Veenendaal Australia 9 37 0.4× 36 0.4× 77 1.3× 16 0.3× 10 0.2× 38 362
Hadrien Salat Singapore 5 31 0.3× 224 2.4× 32 0.6× 85 1.6× 5 0.1× 6 451
Zixuan Liu China 9 31 0.3× 27 0.3× 12 0.2× 20 0.4× 13 0.3× 20 270
Dexuan Sha United States 11 89 0.9× 44 0.5× 37 0.6× 57 1.1× 4 0.1× 24 368
Diana Suleimenova United Kingdom 10 52 0.5× 36 0.4× 13 0.2× 15 0.3× 10 0.2× 25 289
I Gede Nyoman Mindra Jaya Indonesia 10 88 0.9× 13 0.1× 54 0.9× 96 1.8× 3 0.1× 71 334
Lan Zheng China 10 45 0.5× 23 0.2× 13 0.2× 88 1.6× 5 0.1× 18 466
Yizhao Gao United States 9 11 0.1× 133 1.4× 70 1.2× 25 0.5× 5 0.1× 17 310
Francisco Montes Spain 15 16 0.2× 65 0.7× 74 1.3× 124 2.3× 3 0.1× 56 615
Navid Mahdizadeh Gharakhanlou Canada 7 68 0.7× 10 0.1× 20 0.3× 28 0.5× 5 0.1× 15 291

Countries citing papers authored by Francesco Sermi

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Sermi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Sermi

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Sermi. A scholar is included among the top collaborators of Francesco Sermi 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 Francesco Sermi. Francesco Sermi 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.
Natale, Fabrizio, et al.. (2023). Territorial differences in the spread of COVID-19 in European regions and US counties. PLoS ONE. 18(2). e0280780–e0280780. 3 indexed citations
2.
Iacus, Stefano M., et al.. (2023). Nowcasting tourist nights spent using innovative human mobility data. PLoS ONE. 18(10). e0287063–e0287063. 2 indexed citations
3.
Spyratos, Spyridon, et al.. (2022). Monitoring COVID-19-Induced Gender Differences in Teleworking Rates Using Mobile Network Data. Journal of Data Science. 209–227. 2 indexed citations
4.
Bosco, Claudio, et al.. (2022). The potential of Facebook advertising data for understanding flows of people from Ukraine to the European Union. EPJ Data Science. 11(1). 59–59. 8 indexed citations
5.
Sermi, Francesco, et al.. (2020). Mapping Mobility Functional Areas (MFA) using Mobile Positioning Data to Inform COVID-19 Policies: A European regional analysis. Joint Research Centre (European Commission). 10 indexed citations
6.
Iacus, Stefano M., Francesco Sermi, Spyridon Spyratos, D. Tarchi, & Michele Vespe. (2020). Anomaly Detection of Mobility Data with Applications to COVID-19 Situational Awareness. arXiv (Cornell University). 5 indexed citations
7.
Santamaria, Carlos A., Francesco Sermi, Spyridon Spyratos, et al.. (2020). Measuring the impact of COVID-19 confinement measures on human mobility using mobile positioning data. A European regional analysis. Safety Science. 132. 104925–104925. 88 indexed citations
8.
Sermi, Francesco, et al.. (2020). How human mobility explains the initial spread of COVID-19: A European regional analysis. Joint Research Centre (European Commission). 2 indexed citations
9.
Iacus, Stefano M., Carlos A. Santamaria, Francesco Sermi, et al.. (2020). Human mobility and COVID-19 initial dynamics. Nonlinear Dynamics. 101(3). 1901–1919. 78 indexed citations
10.
Tarchi, D., et al.. (2017). Low-Cost Mini Radar: Design Prototyping and Tests. Journal of Sensors. 2017. 1–15. 5 indexed citations
11.
Tarchi, D., et al.. (2017). Search and Rescue: Surveillance support from RPAs radar. Joint Research Centre (European Commission). 256–264. 6 indexed citations
12.
Alessandrini, Alfredo, et al.. (2017). WiFi positioning and Big Data to monitor flows of people on a wide scale. Joint Research Centre (European Commission). 20 indexed citations
13.
Tarchi, D., et al.. (2017). Mini-radar system for flying platforms. Joint Research Centre (European Commission). 40–44. 9 indexed citations
14.
Natale, Fabrizio, et al.. (2017). High resolution map of migrants in the EU. Joint Research Centre (European Commission). 8 indexed citations
15.
Sermi, Francesco, et al.. (2015). Rainfall estimation with a commercial tool for satellite internet in KA band: Model evolution and results. Florence Research (University of Florence). 59. 890–893. 11 indexed citations
16.
Sermi, Francesco, et al.. (2013). A maritime radar network for surface traffic control based on service vessels. International Radar Symposium. 1. 252–257. 1 indexed citations
17.
Sermi, Francesco, et al.. (2013). Analysis of the radar coverage provided by a maritime Radar Network of Co-operative Vessels based on real AIS data. European Radar Conference. 251–254. 4 indexed citations
18.
Cuccoli, Fabrizio, Luca Facheris, & Francesco Sermi. (2011). Coordinate Registration Method based on Sea/Land Transitions Identification for Over-the-Horizon Sky-Wave Radar: Numerical Model and Basic Performance Requirements. IEEE Transactions on Aerospace and Electronic Systems. 47(4). 2974–2985. 11 indexed citations
19.
Cuccoli, Fabrizio, Luca Facheris, & Francesco Sermi. (2011). Over the horizon sky wave radar simulator for ionosphere and earth surface sounding. Florence Research (University of Florence). 62. 277–280.
20.
Cuccoli, Fabrizio, Luca Facheris, Dino Giuli, & Francesco Sermi. (2010). OTHR-SW Coordinate Registration method based on sea-land transitions: Clutter model definition. Florence Research (University of Florence). 101–104. 2 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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