Fulvio Gini

9.4k total citations
330 papers, 7.1k citations indexed

About

Fulvio Gini is a scholar working on Aerospace Engineering, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Fulvio Gini has authored 330 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 259 papers in Aerospace Engineering, 86 papers in Signal Processing and 70 papers in Artificial Intelligence. Recurrent topics in Fulvio Gini's work include Radar Systems and Signal Processing (201 papers), Advanced SAR Imaging Techniques (109 papers) and Direction-of-Arrival Estimation Techniques (73 papers). Fulvio Gini is often cited by papers focused on Radar Systems and Signal Processing (201 papers), Advanced SAR Imaging Techniques (109 papers) and Direction-of-Arrival Estimation Techniques (73 papers). Fulvio Gini collaborates with scholars based in Italy, China and United States. Fulvio Gini's co-authors include Maria Greco, Alfonso Farina, L. Verrazzani, Fabrizio Lombardini, Pietro Stinco, Stefano Fortunati, M. Montanari, Georgios B. Giannakis, K. James Sangston and R. Reggiannini and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Signal Processing.

In The Last Decade

Fulvio Gini

297 papers receiving 6.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fulvio Gini Italy 41 5.4k 2.0k 1.4k 1.1k 1.1k 330 7.1k
Antonio De Maio Italy 62 9.8k 1.8× 3.4k 1.7× 1.5k 1.1× 1.4k 1.4× 1.7k 1.6× 355 11.3k
Maria Greco Italy 39 4.0k 0.7× 1.4k 0.7× 1.2k 0.9× 1.0k 0.9× 650 0.6× 272 5.4k
Hugh Griffiths United Kingdom 42 7.2k 1.4× 1.1k 0.6× 943 0.7× 872 0.8× 2.2k 2.1× 243 8.6k
Alfonso Farina Italy 54 8.6k 1.6× 2.6k 1.3× 3.9k 2.8× 1.4k 1.3× 1.6k 1.5× 496 11.8k
Guolong Cui China 43 6.0k 1.1× 1.1k 0.5× 914 0.7× 822 0.8× 1.7k 1.6× 497 7.5k
Lingjiang Kong China 47 6.0k 1.1× 949 0.5× 2.3k 1.7× 853 0.8× 1.6k 1.5× 551 8.5k
Braham Himed United States 46 5.6k 1.1× 2.2k 1.1× 852 0.6× 715 0.7× 1.4k 1.3× 304 6.7k
Guisheng Liao China 50 8.4k 1.6× 3.1k 1.5× 645 0.5× 564 0.5× 1.5k 1.4× 558 10.1k
Michael C. Wicks United States 34 4.1k 0.8× 1.7k 0.9× 427 0.3× 498 0.5× 1.1k 1.0× 266 5.2k
Muralidhar Rangaswamy United States 36 4.1k 0.8× 1.6k 0.8× 924 0.7× 740 0.7× 677 0.6× 273 4.8k

Countries citing papers authored by Fulvio Gini

Since Specialization
Citations

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

Fields of papers citing papers by Fulvio Gini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fulvio Gini

This figure shows the co-authorship network connecting the top 25 collaborators of Fulvio Gini. A scholar is included among the top collaborators of Fulvio Gini 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 Fulvio Gini. Fulvio Gini 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.
Xu, Jingwei, et al.. (2025). Multidimensional Resource Management Optimization Strategy for High-Resolution Multitarget Tracking. IEEE Transactions on Aerospace and Electronic Systems. 61(6). 15492–15507.
2.
Li, Hongbin, et al.. (2025). Direct Localization With Direct-Path Interference for Reference Channel-Free Distributed Passive Radars. IEEE Transactions on Signal Processing. 73. 4379–4396.
3.
Jiang, Weidong, et al.. (2025). Design of Complementary PCFM Waveform Set for Smearing Spectrum Jamming Suppression in MIMO Radar Systems. IEEE Transactions on Aerospace and Electronic Systems. 61(4). 10149–10168. 4 indexed citations
4.
Zhou, Heng, Jun Sun, Maria Greco, et al.. (2025). Semantic Graph Reasoning Over Multidomain Fusion for Radar Jamming Recognition. IEEE Transactions on Aerospace and Electronic Systems. 62. 2993–3005.
5.
Gao, Hongyuan, et al.. (2024). Robust DOA Estimation of Incoherently Distributed Sources Considering Mixed Circular and Noncircular Signals in Impulsive Noise. IEEE Signal Processing Letters. 31. 1900–1904. 7 indexed citations
6.
Zhang, Gong, et al.. (2024). A High-Order Motion Parameter Estimation of Moving Target for Miniature Dechirped MMW Radar. IEEE Transactions on Aerospace and Electronic Systems. 60(6). 8332–8348. 2 indexed citations
7.
Sun, Jun, et al.. (2024). Anti-Deception Jamming Resource Scheduling for Multitarget Tracking in Distributed Radar Networks. IEEE Transactions on Aerospace and Electronic Systems. 60(6). 9111–9128. 7 indexed citations
8.
Zhang, Gong, et al.. (2024). Range Resolution Enhancement for Miniature Dechirped MMW MIMO-SAR. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 1 indexed citations
9.
Wang, Jun, et al.. (2024). Joint velocity and angle estimation for single-cycle TDM MIMO automotive radar. Digital Signal Processing. 153. 104617–104617. 1 indexed citations
10.
Hu, Ze, et al.. (2024). A Fast Fourier-Based Near-Field 3-D Imaging Algorithm for MIMO Array. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 3 indexed citations
11.
Jiang, Weidong, et al.. (2024). Simultaneous Design of PCFM Waveforms and Receive Filters Toward ISRJ Suppression. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 7 indexed citations
12.
Shi, Zhiguo, et al.. (2024). Ziv–Zakai Bound for 2D-DOAs Estimation. IEEE Transactions on Signal Processing. 72. 2483–2497. 18 indexed citations
13.
Shi, Zhiguo, et al.. (2023). Ziv-Zakai Bound for Compressive Time Delay Estimation From Zero-Mean Gaussian Signal. IEEE Signal Processing Letters. 30. 1112–1116. 6 indexed citations
14.
Fortunati, Stefano, Luca Sanguinetti, Fulvio Gini, Maria Greco, & Braham Himed. (2020). Massive MIMO radar for target detection. CINECA IRIS Institutial research information system (University of Pisa). 86 indexed citations
15.
Fortunati, Stefano, Fulvio Gini, & Maria Greco. (2019). Semiparametric stochastic CRB for DOA estimation in elliptical data model. CINECA IRIS Institutial research information system (University of Pisa). 2 indexed citations
16.
Gini, Fulvio, et al.. (2018). Range-Doppler Fast Block LMS algorithm for a DVB-T-based Passive Bistatic Radar. Signal Image and Video Processing. 13(1). 27–34. 16 indexed citations
17.
Sidiropoulos, Nicholas D., Fulvio Gini, Rama Chellappa, & Sergios Theodoridis. (2014). Communications and radar signal processing. Academic Press eBooks. 2 indexed citations
18.
Greco, Maria, Pietro Stinco, & Fulvio Gini. (2009). Statistical analysis of sea clutter spikes. CINECA IRIS Institutial research information system (University of Pisa). 192–195. 1 indexed citations
19.
Greco, Maria, Fulvio Gini, & Alfonso Farina. (2005). Joint use of Σ and Δ channels for multiple radar target DOA estimation. European Signal Processing Conference. 1–4. 4 indexed citations
20.
Lombardini, F., et al.. (1998). Effect of temporal decorrelation onj 3-D SAR imaging using multiple pass beamforming. UCL Discovery (University College London). 20 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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