Giacomo Bacci

1.7k total citations
80 papers, 1.1k citations indexed

About

Giacomo Bacci is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Giacomo Bacci has authored 80 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Electrical and Electronic Engineering, 44 papers in Computer Networks and Communications and 27 papers in Aerospace Engineering. Recurrent topics in Giacomo Bacci's work include Wireless Communication Networks Research (29 papers), Cooperative Communication and Network Coding (24 papers) and Advanced MIMO Systems Optimization (20 papers). Giacomo Bacci is often cited by papers focused on Wireless Communication Networks Research (29 papers), Cooperative Communication and Network Coding (24 papers) and Advanced MIMO Systems Optimization (20 papers). Giacomo Bacci collaborates with scholars based in Italy, United States and United Kingdom. Giacomo Bacci's co-authors include Luca Sanguinetti, Marco Luise, Şevket Durucan, Anna Korre, Alessio Zappone, Mérouane Debbah, Eduard A. Jorswieck, Walid Saad, Samson Lasaulce and H. Vincent Poor and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Signal Processing and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Giacomo Bacci

72 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giacomo Bacci Italy 16 618 472 283 213 156 80 1.1k
Jing Qian China 15 769 1.2× 88 0.2× 174 0.6× 227 1.1× 60 0.4× 69 1.2k
Wenhao Wu China 14 257 0.4× 99 0.2× 66 0.2× 179 0.8× 51 0.3× 66 610
Fan Mo China 16 280 0.5× 73 0.2× 202 0.7× 106 0.5× 181 1.2× 97 765
Chunming Liu China 17 423 0.7× 121 0.3× 44 0.2× 63 0.3× 66 0.4× 88 1.1k
Omar Marcillo United States 14 398 0.6× 680 1.4× 39 0.1× 46 0.2× 157 1.0× 38 1.3k
Xiaoqin Yang China 15 157 0.3× 171 0.4× 31 0.1× 109 0.5× 50 0.3× 58 540
Matthias Wächter Germany 15 315 0.5× 68 0.1× 255 0.9× 280 1.3× 25 0.2× 53 910
Raffaele Grasso Italy 14 210 0.3× 75 0.2× 40 0.1× 256 1.2× 229 1.5× 60 921
Bo-Fu Wang China 19 173 0.3× 35 0.1× 235 0.8× 147 0.7× 81 0.5× 69 967

Countries citing papers authored by Giacomo Bacci

Since Specialization
Citations

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

Fields of papers citing papers by Giacomo Bacci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giacomo Bacci

This figure shows the co-authorship network connecting the top 25 collaborators of Giacomo Bacci. A scholar is included among the top collaborators of Giacomo Bacci 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 Giacomo Bacci. Giacomo Bacci 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.
Giannetti, Filippo, et al.. (2025). The Potential of Opportunistic Rainfall Sensing to Complement Conventional Sensors: The 2017 Flash Flood in Leghorn (Italy) as a Case Study. CINECA IRIS Institutial research information system (University of Pisa). 1 indexed citations
2.
Adirosi, Elisa, et al.. (2024). Deep Learning for Opportunistic Rain Estimation via Satellite Microwave Links. Sensors. 24(21). 6944–6944. 2 indexed citations
3.
Giannetti, Filippo, et al.. (2024). Performance comparison of different types of broadcast satellite receivers for opportunistic rain estimation. CINECA IRIS Institutial research information system (University of Pisa). 1 indexed citations
4.
Bacci, Giacomo, Antonio A. D’Amico, & Luca Sanguinetti. (2024). MMSE Channel Estimation in Large-Scale MIMO: Improved Robustness With Reduced Complexity. IEEE Transactions on Wireless Communications. 23(12). 18563–18575. 2 indexed citations
5.
Bacci, Giacomo, Riccardo De Gaudenzi, Marco Luise, & Luca Sanguinetti. (2024). Satellite FoA-based Mega-Antenna for User-Centric Mobile Communications: Performance Evaluation. CINECA IRIS Institutial research information system (University of Pisa). 626–630. 1 indexed citations
6.
D’Amico, Antonio A., Giacomo Bacci, & Luca Sanguinetti. (2023). DFT-Based Channel Estimation for Holographic MIMO. CINECA IRIS Institutial research information system (University of Pisa). 353–357. 6 indexed citations
7.
Bacci, Giacomo, Luca Sanguinetti, & Emil Björnson. (2023). Spherical Wavefronts Improve MU-MIMO Spectral Efficiency When Using Electrically Large Arrays. IEEE Wireless Communications Letters. 12(7). 1219–1223. 15 indexed citations
8.
Bacci, Giacomo, et al.. (2023). Tropospheric Propagation Modeling for Opportunistic Rain Sensing using Current and Future Broadcast and Broadband Satellites. CINECA IRIS Institutial research information system (University of Pisa). 1–4. 1 indexed citations
9.
Bacci, Giacomo, Filippo Giannetti, Vincenzo Lottici, et al.. (2023). A Feasibility Study on Opportunistic Rainfall Measurement From Satellite TV Broadcasts. arXiv (Cornell University). 4. 1 indexed citations
10.
Bacci, Giacomo, et al.. (2018). Energy-Efficient Power Control for Drone Communications. CINECA IRIS Institutial research information system (University of Pisa). 1–6. 1 indexed citations
11.
Codispoti, G., et al.. (2018). Using the Q/V-Band Aldo Paraboni Payload to Validate Future Satellite Systems: Test Campaign and Preliminary Results of the QV-LIFT Project. CINECA IRIS Institutial research information system (University of Pisa). 1–3. 1 indexed citations
12.
Codispoti, G., Giorgia Parca, Giandomenico Amendola, et al.. (2017). Technologies for the ground segment of the future Q/V band satellite systems: The QV-LIFT project. CINECA IRIS Institutial research information system (University of Pisa). 1–2. 1 indexed citations
13.
Bacci, Giacomo, Luca Sanguinetti, & Marco Luise. (2015). Understanding Game Theory via Wireless Power Control [Lecture Notes]. IEEE Signal Processing Magazine. 32(4). 132–137. 28 indexed citations
14.
15.
Bacci, Giacomo, Anna Korre, & Şevket Durucan. (2010). An experimental and numerical investigation into the impact of dissolution/precipitation mechanisms on CO2 injectivity in the wellbore and far field regions. International journal of greenhouse gas control. 5(3). 579–588. 93 indexed citations
16.
Bacci, Giacomo & Marco Luise. (2010). Performance Comparison of Energy-Efficient Power Control for CDMA Code Acquisition and Detection. CINECA IRIS Institutial research information system (University of Pisa). 1–5. 3 indexed citations
17.
Bacci, Giacomo, Marco Luise, & H. Vincent Poor. (2008). Energy-efficient power control is (almost) equivalent for DS-CDMA and TH-UWB. Electronics Letters. 44(8). 555–557.
18.
Bacci, Giacomo, Marco Luise, & H. Vincent Poor. (2008). Game theory and power control in ultrawideband networks. Physical Communication. 1(1). 21–39. 1 indexed citations
19.
Bacci, Giacomo & Marco Luise. (2006). A New Set of Spreading Sequences that Improves Time-Delay Estimation in Satellite Positioning. 1–10. 1 indexed citations
20.
Zanier, Francesca, Giacomo Bacci, & Marco Luise. (2006). Nonbinary bandlimited signature waveforms for spread spectrum signals with application to satellite positioning. 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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