Marco Passafiume

569 total citations
46 papers, 421 citations indexed

About

Marco Passafiume is a scholar working on Electrical and Electronic Engineering, Signal Processing and Aerospace Engineering. According to data from OpenAlex, Marco Passafiume has authored 46 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Electrical and Electronic Engineering, 19 papers in Signal Processing and 14 papers in Aerospace Engineering. Recurrent topics in Marco Passafiume's work include Indoor and Outdoor Localization Technologies (26 papers), Direction-of-Arrival Estimation Techniques (16 papers) and Speech and Audio Processing (14 papers). Marco Passafiume is often cited by papers focused on Indoor and Outdoor Localization Technologies (26 papers), Direction-of-Arrival Estimation Techniques (16 papers) and Speech and Audio Processing (14 papers). Marco Passafiume collaborates with scholars based in Italy, Canada and Iran. Marco Passafiume's co-authors include Alessandro Cidronali, Stefano Maddio, Giovanni Collodi, Gianfranco Manes, Giuseppe Pelosi, Antonio Manes, Giuseppe Ricci, Stefano Selleri, Marco Pirola and G. Leuzzi and has published in prestigious journals such as Sensors, IEEE Transactions on Microwave Theory and Techniques and Electronics Letters.

In The Last Decade

Marco Passafiume

44 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Passafiume Italy 13 311 203 117 62 50 46 421
Oded Bialer Israel 9 208 0.7× 182 0.9× 102 0.9× 42 0.7× 47 0.9× 29 348
Matias Turunen Finland 14 637 2.0× 399 2.0× 26 0.2× 20 0.3× 97 1.9× 48 764
Raphael E. Nkrow Hong Kong 6 358 1.2× 120 0.6× 85 0.7× 138 2.2× 59 1.2× 14 385
Zuoya Liu China 10 452 1.5× 203 1.0× 134 1.1× 202 3.3× 80 1.6× 29 502
Joon Goo Park South Korea 10 229 0.7× 93 0.5× 53 0.5× 78 1.3× 111 2.2× 42 307
Wangdong Qi China 10 224 0.7× 93 0.5× 76 0.6× 43 0.7× 95 1.9× 40 300
Roshan Ayyalasomayajula United States 7 281 0.9× 102 0.5× 77 0.7× 104 1.7× 82 1.6× 10 343
Andreas Ziroff Germany 13 328 1.1× 236 1.2× 47 0.4× 82 1.3× 29 0.6× 37 428
Zhaoxin Chang China 10 242 0.8× 49 0.2× 42 0.4× 38 0.6× 78 1.6× 19 342

Countries citing papers authored by Marco Passafiume

Since Specialization
Citations

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

Fields of papers citing papers by Marco Passafiume

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Passafiume

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Passafiume. A scholar is included among the top collaborators of Marco Passafiume 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 Marco Passafiume. Marco Passafiume 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.
Passafiume, Marco, et al.. (2024). Application of PCA and Unsupervised Deep Learning in Bird and Drone Discrimination Based on FMCW Radar Measurements. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 1 indexed citations
2.
3.
Passafiume, Marco, et al.. (2023). Model-Based Data Augmentation Applied to Deep Learning Networks for Classification of Micro-Doppler Signatures Using FMCW Radar. IEEE Transactions on Microwave Theory and Techniques. 71(5). 2222–2236. 29 indexed citations
4.
Collodi, Giovanni, et al.. (2023). Energy Efficient Enhancement in a 5.8 GHz Batteryless Node Suitable for Backscattering Communications. Electronics. 12(10). 2256–2256. 1 indexed citations
5.
Cidronali, Alessandro, et al.. (2022). A Highly Linear Ka-Band GaN-on-Si Active Balanced Mixer for Radar Applications. IEEE Transactions on Circuits and Systems I Regular Papers. 69(11). 4453–4464. 10 indexed citations
6.
Passafiume, Marco, Giovanni Collodi, & Alessandro Cidronali. (2022). Improving Wireless Power Transfer Efficiency With DC/DC Boost Charger by Multi-Sine Excitation at 5.8 GHz. IEEE Microwave and Wireless Components Letters. 32(6). 760–763. 2 indexed citations
7.
Cidronali, Alessandro, et al.. (2022). Indoor Positioning with a Six-Beam Planar Antenna Suitable for 2.45 GHz Wireless Communications. Florence Research (University of Florence). 149–152. 1 indexed citations
8.
Passafiume, Marco, et al.. (2021). A Novel TDoA-Based Method for 3D Combined Localization Techniques Using an Ultra-Wideband Phase Wrapping-Impaired Switched Beam Antenna. Electronics. 10(17). 2137–2137. 3 indexed citations
9.
Cidronali, Alessandro, et al.. (2021). Analysis of Dual-Band Direction of Arrival Estimation in Multipath Scenarios. Electronics. 10(11). 1236–1236. 3 indexed citations
10.
Passafiume, Marco, et al.. (2021). Modeling Small UAV Micro-Doppler Signature Using Millimeter-Wave FMCW Radar. Electronics. 10(6). 747–747. 26 indexed citations
11.
Collodi, Giovanni, et al.. (2021). AKa-Band GaN-on-Si MMIC Analog Vectorial Modulator and Its Broadband Calibration Procedure. IEEE Microwave and Wireless Components Letters. 31(4). 377–380. 2 indexed citations
12.
Passafiume, Marco, Giovanni Collodi, & Alessandro Cidronali. (2020). Design Principles of Batteryless Transponder for Vehicular DSRC at 5.8 GHz. IEEE Journal of Radio Frequency Identification. 4(4). 491–505. 8 indexed citations
13.
Cidronali, Alessandro, et al.. (2020). Assessment of Anchors Constellation Features in RSSI-Based Indoor Positioning Systems for Smart Environments. Electronics. 9(6). 1026–1026. 5 indexed citations
14.
Passafiume, Marco, et al.. (2020). Assessment of Compressive Sensing 2 × 2 MIMO Antenna Design for Millimeter-Wave Radar Image Enhancement. Electronics. 9(4). 624–624. 15 indexed citations
15.
Cidronali, Alessandro, et al.. (2019). Continuous Beam Steering For Phaseless Direction-of-Arrival Estimations. IEEE Antennas and Wireless Propagation Letters. 18(12). 2666–2670. 7 indexed citations
16.
Cidronali, Alessandro, Giovanni Collodi, Stefano Maddio, et al.. (2019). Improving Phaseless Direction of Arrival Estimation Exploiting Space and Frequency Diversities. European Radar Conference. 49–52. 1 indexed citations
17.
Passafiume, Marco, Stefano Maddio, & Alessandro Cidronali. (2017). An Improved Approach for RSSI-Based only Calibration-Free Real-Time Indoor Localization on IEEE 802.11 and 802.15.4 Wireless Networks. Sensors. 17(4). 717–717. 37 indexed citations
18.
Manes, Gianfranco, et al.. (2016). Realtime Gas Emission Monitoring at Hazardous Sites Using a Distributed Point-Source Sensing Infrastructure. Sensors. 16(1). 121–121. 26 indexed citations
19.
Passafiume, Marco, et al.. (2016). An enhanced triangulation algorithm for a distributed RSSI-DoA positioning system. Florence Research (University of Florence). 185–188. 8 indexed citations
20.
Passafiume, Marco, Stefano Maddio, Alessandro Cidronali, & Gianfranco Manes. (2014). On the duality of Phase-based and Phase-less RSSI MUSIC algorithm for Direction of Arrival estimation. Florence Research (University of Florence). 48–54. 4 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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