Paolo Baracca

731 total citations
44 papers, 443 citations indexed

About

Paolo Baracca is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Media Technology. According to data from OpenAlex, Paolo Baracca has authored 44 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Electrical and Electronic Engineering, 26 papers in Computer Networks and Communications and 3 papers in Media Technology. Recurrent topics in Paolo Baracca's work include Advanced MIMO Systems Optimization (29 papers), Cooperative Communication and Network Coding (16 papers) and Millimeter-Wave Propagation and Modeling (10 papers). Paolo Baracca is often cited by papers focused on Advanced MIMO Systems Optimization (29 papers), Cooperative Communication and Network Coding (16 papers) and Millimeter-Wave Propagation and Modeling (10 papers). Paolo Baracca collaborates with scholars based in Germany, Italy and United States. Paolo Baracca's co-authors include Stefano Tomasin, Nicola Laurenti, Volker Braun, Saeed R. Khosravirad, N. Benvenuto, Tao Tao, Thorsten Wild, Frank Schaich, Alessandro Brighente and Hardy Halbauer and has published in prestigious journals such as Sensors, IEEE Transactions on Communications and IEEE Transactions on Wireless Communications.

In The Last Decade

Paolo Baracca

41 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paolo Baracca Germany 12 401 179 66 40 37 44 443
Seungnyun Kim South Korea 14 454 1.1× 166 0.9× 135 2.0× 38 0.9× 34 0.9× 43 531
Philippe Sehier France 10 456 1.1× 220 1.2× 58 0.9× 51 1.3× 51 1.4× 29 525
Venkata Mani Vakamulla India 14 532 1.3× 122 0.7× 49 0.7× 23 0.6× 15 0.4× 85 584
Hatim Behairy Saudi Arabia 9 277 0.7× 131 0.7× 118 1.8× 73 1.8× 23 0.6× 40 360
Tiến Hoa Nguyễn Vietnam 11 463 1.2× 198 1.1× 107 1.6× 18 0.5× 88 2.4× 71 573
Serhat Erküçük Türkiye 13 303 0.8× 173 1.0× 67 1.0× 23 0.6× 16 0.4× 57 392
Dinko Begušić Croatia 15 343 0.9× 228 1.3× 70 1.1× 33 0.8× 42 1.1× 59 458
Tongyang Xu United Kingdom 17 865 2.2× 172 1.0× 94 1.4× 26 0.7× 75 2.0× 73 939
Luca Simone Ronga Italy 12 312 0.8× 367 2.1× 152 2.3× 18 0.5× 31 0.8× 72 498
Marco Zoli Italy 12 367 0.9× 56 0.3× 117 1.8× 31 0.8× 53 1.4× 21 423

Countries citing papers authored by Paolo Baracca

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Baracca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Baracca

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Baracca. A scholar is included among the top collaborators of Paolo Baracca 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 Paolo Baracca. Paolo Baracca 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.
Li, Dong, Saeed R. Khosravirad, Tao Tao, Paolo Baracca, & Pingping Wen. (2024). Power Allocation for 6G Sub-Networks in Industrial Wireless Control. 1–6. 5 indexed citations
2.
Elwekeil, Mohamed, Lorenzo Galati Giordano, Paolo Baracca, & Stefano Buzzi. (2023). Distributed MIMO for 6G sub-Networks in the Unlicensed Spectrum. 1 indexed citations
3.
Zhou, Liang, Olav Tirkkonen, Saeed R. Khosravirad, et al.. (2022). Dual-mode Ultra Reliable Low Latency Communications for Industrial Wireless Control. 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring). 1–7. 1 indexed citations
4.
Chizhik, Dmitry, Jinfeng Du, Reinaldo A. Valenzuela, et al.. (2022). Directional Measurements and Propagation Models at 28 GHz for Reliable Factory Coverage. IEEE Transactions on Antennas and Propagation. 70(10). 9596–9606. 3 indexed citations
5.
Baracca, Paolo, et al.. (2022). Jamming Resilient Indoor Factory Deployments: Design and Performance Evaluation. 2022 IEEE Wireless Communications and Networking Conference (WCNC). 20. 1946–1951. 3 indexed citations
6.
Baracca, Paolo, et al.. (2021). Cell-Free and User-Centric Massive MIMO Architectures for Reliable Communications in Indoor Factory Environments. IEEE Open Journal of the Communications Society. 2. 1390–1404. 21 indexed citations
7.
Baracca, Paolo, et al.. (2021). Measured Distributed vs Co-located Massive MIMO in Industry 4.0 Environments. 306–310. 13 indexed citations
8.
Berardinelli, Gilberto, Paolo Baracca, Ramoni Adeogun, et al.. (2021). Extreme Communication in 6G: Vision and Challenges for ‘in-X’ Subnetworks. IEEE Open Journal of the Communications Society. 2. 2516–2535. 50 indexed citations
9.
Baracca, Paolo, et al.. (2020). URLLC for Factory Automation: an Extensive Throughput-Reliability Analysis of D-MIMO.. 1–6. 7 indexed citations
10.
Brighente, Alessandro, et al.. (2020). Interference Distribution Prediction for Link Adaptation in Ultra-Reliable Low-Latency Communications. Padua Research Archive (University of Padova). 1–7. 10 indexed citations
11.
Baracca, Paolo, et al.. (2018). A Statistical Approach for RF Exposure Compliance Boundary Assessment in Massive MIMO Systems.. arXiv (Cornell University). 1–6. 16 indexed citations
12.
Roger, Sandra, Paolo Baracca, David Martín‐Sacristán, et al.. (2016). Performance Evaluation of Analog Beamforming with Hardware Impairments for mmW Massive MIMO Communication in an Urban Scenario. Sensors. 16(10). 1555–1555. 16 indexed citations
13.
Dekorsy, Armin, et al.. (2016). Hardware Impairments in Millimeter Wave Communications using OFDM and SC-FDE. International ITG Workshop on Smart Antennas. 1–8. 13 indexed citations
14.
Baracca, Paolo. (2016). Traffic Profile Based Clustering for Dynamic TDD in Dense Mobile Networks. 1–6. 4 indexed citations
15.
Benvenuto, N., et al.. (2015). Channel Estimation Using a 2D DFT for Millimeter-Wave Systems. 1–5. 11 indexed citations
16.
Baracca, Paolo, Stefano Tomasin, & N. Benvenuto. (2014). Backhaul Rate Allocation in Uplink SC-FDMA Systems with Multicell Processing. IEEE Transactions on Wireless Communications. 13(3). 1264–1273. 8 indexed citations
17.
Baracca, Paolo, Stefano Tomasin, & N. Benvenuto. (2012). A practical scheduling and power/constellation allocation for three relay networks. EURASIP Journal on Wireless Communications and Networking. 2012(1). 1 indexed citations
18.
Baracca, Paolo, Stefano Tomasin, & N. Benvenuto. (2012). Constellation Quantization in Constrained Backhaul Downlink Network MIMO. IEEE Transactions on Communications. 60(3). 830–839.
19.
Baracca, Paolo, Stefano Tomasin, & N. Benvenuto. (2011). Downlink multicell processing employing QAM quantization under a constrained backhaul. Research Padua Archive (University of Padua). 1–5. 2 indexed citations
20.
Baracca, Paolo, Stefano Tomasin, Lorenzo Vangelista, N. Benvenuto, & Alberto Morello. (2009). Per sub-block equalization and channel estimation for next generation handheld DVB. Research Padua Archive (University of Padua). tr 102. 1–6. 1 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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