Daniele D. Caviglia

1.0k total citations
119 papers, 605 citations indexed

About

Daniele D. Caviglia is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Daniele D. Caviglia has authored 119 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Electrical and Electronic Engineering, 35 papers in Biomedical Engineering and 32 papers in Artificial Intelligence. Recurrent topics in Daniele D. Caviglia's work include Neural Networks and Applications (30 papers), Analog and Mixed-Signal Circuit Design (22 papers) and Advanced Memory and Neural Computing (15 papers). Daniele D. Caviglia is often cited by papers focused on Neural Networks and Applications (30 papers), Analog and Mixed-Signal Circuit Design (22 papers) and Advanced Memory and Neural Computing (15 papers). Daniele D. Caviglia collaborates with scholars based in Italy, Lebanon and Iran. Daniele D. Caviglia's co-authors include Maurizio Valle, Andrea Randazzo, G. Bisio, P. Antognetti, Matteo Colli, Alessandro Fedeli, C. Boragno, Gian Luigi Gragnani, Giambattista Gruosso and P. Cusinato and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and IEEE Communications Magazine.

In The Last Decade

Daniele D. Caviglia

106 papers receiving 583 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniele D. Caviglia Italy 12 388 185 146 86 66 119 605
Yongzhi Li China 14 516 1.3× 128 0.7× 84 0.6× 125 1.5× 144 2.2× 62 1.0k
Xing Tan United States 12 275 0.7× 137 0.7× 42 0.3× 239 2.8× 64 1.0× 34 679
Gang Zhang China 13 379 1.0× 51 0.3× 98 0.7× 60 0.7× 25 0.4× 75 656
Zhimin Chen China 11 237 0.6× 51 0.3× 80 0.5× 241 2.8× 55 0.8× 40 649
Jaehoon Jung South Korea 14 313 0.8× 104 0.6× 28 0.2× 184 2.1× 123 1.9× 88 680
Afshin Ebrahimi Iran 11 373 1.0× 81 0.4× 67 0.5× 71 0.8× 31 0.5× 43 533
Qinglin Tian New Zealand 9 414 1.1× 116 0.6× 132 0.9× 202 2.3× 36 0.5× 17 535

Countries citing papers authored by Daniele D. Caviglia

Since Specialization
Citations

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

Fields of papers citing papers by Daniele D. Caviglia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniele D. Caviglia. 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 Daniele D. Caviglia. The network helps show where Daniele D. Caviglia may publish in the future.

Co-authorship network of co-authors of Daniele D. Caviglia

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele D. Caviglia. A scholar is included among the top collaborators of Daniele D. Caviglia 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 Daniele D. Caviglia. Daniele D. Caviglia 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.
Aiello, Orazio, et al.. (2024). 0.5V 32nW Inverter-Based Gm-C Filter for Bio-Signal Processing. CINECA IRIS Institutial Research Information System (University of Genoa). 1–5. 4 indexed citations
2.
Caviglia, Daniele D., et al.. (2024). Fully Synthesizable Dynamic Voltage Comparator across technology nodes and scaled supply voltages. CINECA IRIS Institutial Research Information System (University of Genoa). 1–5. 1 indexed citations
3.
Shokri, Reza, et al.. (2024). A Reconfigurable, Nonlinear, Low-Power, VCO-Based ADC for Neural Recording Applications. Sensors. 24(19). 6161–6161. 1 indexed citations
4.
Caviglia, Daniele D., et al.. (2024). Improved Chebyshev Spectral Method Modeling for Vector Radiative Transfer in Atmospheric Propagation. IEEE Transactions on Antennas and Propagation. 72(5). 4465–4476. 1 indexed citations
5.
Gianoglio, Christian, et al.. (2023). Rain Discrimination with Machine Learning Classifiers for Opportunistic Rain Detection System Using Satellite Micro-Wave Links. Sensors. 23(3). 1202–1202. 7 indexed citations
6.
Gianoglio, Christian, et al.. (2023). On the Edge Recurrent Neural Network Approach for Ground Moving FMCW Radar Target Classification. IEEE Transactions on Consumer Electronics. 70(1). 522–534. 3 indexed citations
7.
Boragno, C., Orazio Aiello, & Daniele D. Caviglia. (2023). Monitoring the Air Quality in an HVAC System via an Energy Harvesting Device. Sensors. 23(14). 6381–6381. 2 indexed citations
8.
Gragnani, Gian Luigi, et al.. (2021). Advanced Real-Time Monitoring of Rainfall Using Commercial Satellite Broadcasting Service: A Case Study. Sensors. 21(3). 691–691. 9 indexed citations
9.
Fedeli, Alessandro, et al.. (2021). A Short-Range FMCW Radar-Based Approach for Multi-Target Human-Vehicle Detection. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 34 indexed citations
10.
Daher, Ahmad, et al.. (2021). Porting Rulex Software to the Raspberry Pi for Machine Learning Applications on the Edge. Sensors. 21(19). 6526–6526. 7 indexed citations
11.
Boragno, C., et al.. (2021). A Low Power AC/DC Interface for Wind-Powered Sensor Nodes. Energies. 14(7). 1823–1823. 6 indexed citations
12.
Caviglia, Daniele D., et al.. (2021). Cost-Efficient FMCW Radar for Multi-Target Classification in Security Gate Monitoring. IEEE Sensors Journal. 21(18). 20447–20461. 20 indexed citations
13.
Daher, Ahmad, et al.. (2020). Pedestrian and Multi-Class Vehicle Classification in Radar Systems Using Rulex Software on the Raspberry Pi. Applied Sciences. 10(24). 9113–9113. 4 indexed citations
14.
Randazzo, Andrea, et al.. (2020). Low-Cost FMCW Radar Human-Vehicle Classification Based on Transfer Learning. CINECA IRIS Institutial Research Information System (University of Genoa). 1–4. 3 indexed citations
15.
Caviglia, Daniele D., Matteo Colli, Bianca Federici, et al.. (2017). A field evaluation of a satellite microwave rainfall sensor network. CINECA IRIS Institutial Research Information System (University of Genoa). 15323. 1 indexed citations
16.
Caviglia, Daniele D., et al.. (1999). Evaluation and Validation of Local and Adaptive Weight Perturbation Learning Algorithms for Optical Characters Recognition Applications.. 4 indexed citations
17.
Valle, Maurizio, et al.. (1995). An ASIC design for real-time image processing in industrial applications. 385–390. 1 indexed citations
18.
Caviglia, Daniele D., et al.. (1995). "A Digital MLP Architecture for Real-Time Hierarchical Classification". 1 indexed citations
19.
Indiveri, Giacomo, et al.. (1993). A Neural Network Architecture for Defect Detection through Magnetic Particle Inspection.
20.
Caviglia, Daniele D., et al.. (1991). A VLSI Module for Analog Adaptive Neural Architectures.. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 177–186. 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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