Beatriz Lorenzo

910 total citations
59 papers, 588 citations indexed

About

Beatriz Lorenzo is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Beatriz Lorenzo has authored 59 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Networks and Communications, 33 papers in Electrical and Electronic Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Beatriz Lorenzo's work include Advanced MIMO Systems Optimization (21 papers), Cooperative Communication and Network Coding (18 papers) and Software-Defined Networks and 5G (10 papers). Beatriz Lorenzo is often cited by papers focused on Advanced MIMO Systems Optimization (21 papers), Cooperative Communication and Network Coding (18 papers) and Software-Defined Networks and 5G (10 papers). Beatriz Lorenzo collaborates with scholars based in United States, Finland and Spain. Beatriz Lorenzo's co-authors include Savo Glisic, Yuguang Fang, Francisco J. González‐Castaño, Juan C. Burguillo, Xuanheng Li, Weisong Shi, J. Pérez-Romero, Haichuan Ding, Laura Galluccio and Felipe Gómez-Cuba and has published in prestigious journals such as IEEE Access, IEEE Transactions on Communications and IEEE Transactions on Wireless Communications.

In The Last Decade

Beatriz Lorenzo

56 papers receiving 570 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beatriz Lorenzo United States 15 421 347 64 48 43 59 588
Zhanwei Hou Australia 12 278 0.7× 382 1.1× 71 1.1× 69 1.4× 55 1.3× 23 590
Arash Asadi Germany 18 555 1.3× 839 2.4× 105 1.6× 53 1.1× 44 1.0× 52 992
Lei Deng China 12 377 0.9× 365 1.1× 33 0.5× 37 0.8× 50 1.2× 46 555
Ilario Filippini Italy 18 706 1.7× 727 2.1× 98 1.5× 29 0.6× 37 0.9× 67 1.0k
Tuan LeAnh South Korea 10 336 0.8× 224 0.6× 29 0.5× 28 0.6× 68 1.6× 24 427
Tai Manh Ho South Korea 17 552 1.3× 475 1.4× 130 2.0× 82 1.7× 77 1.8× 37 778
Thant Zin Oo South Korea 14 462 1.1× 406 1.2× 30 0.5× 41 0.9× 64 1.5× 33 616
N. Correia Portugal 14 365 0.9× 329 0.9× 31 0.5× 28 0.6× 63 1.5× 68 555
Ming Zeng China 14 290 0.7× 325 0.9× 72 1.1× 100 2.1× 59 1.4× 73 608
Haojun Teng China 8 238 0.6× 154 0.4× 35 0.5× 54 1.1× 47 1.1× 11 333

Countries citing papers authored by Beatriz Lorenzo

Since Specialization
Citations

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

Fields of papers citing papers by Beatriz Lorenzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beatriz Lorenzo

This figure shows the co-authorship network connecting the top 25 collaborators of Beatriz Lorenzo. A scholar is included among the top collaborators of Beatriz Lorenzo 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 Beatriz Lorenzo. Beatriz Lorenzo 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.
Glisic, Savo & Beatriz Lorenzo. (2025). Optimum 6G/7G quantum network design: Survey. Optics Communications. 608. 131883–131883.
2.
Lorenzo, Beatriz, et al.. (2025). Multi-RAT Network Slicing for Heterogeneous MEC-Enabled Internet of Things. IEEE Network. 40(2). 218–229.
3.
Glisic, Savo & Beatriz Lorenzo. (2024). Quantum computing and neuroscience for 6G/7G networks: Survey. Intelligent Systems with Applications. 23. 200346–200346. 4 indexed citations
4.
Lorenzo, Beatriz, et al.. (2024). Cross-Technology Federated Matching for Age of Information Minimization in Heterogeneous IoT. IEEE/ACM Transactions on Networking. 32(6). 4901–4916. 1 indexed citations
5.
Wang, Ning, et al.. (2024). Semantic-Aware Architecture Design for a Lifelong Swarm Metaverse. IEEE Internet of Things Journal. 12(9). 12468–12482.
6.
7.
Lorenzo, Beatriz, et al.. (2022). Low-Latency Robust Computing Vehicular Networks. IEEE Transactions on Vehicular Technology. 72(2). 2130–2144. 3 indexed citations
8.
Lorenzo, Beatriz, et al.. (2022). Optimization of 3D Spectrum Management in Future Wireless Networks. IEEE Transactions on Vehicular Technology. 72(2). 2407–2423. 1 indexed citations
9.
Lorenzo, Beatriz, et al.. (2022). Reinforcement Learning based Multi-Attribute Slice Admission Control for Next-Generation Networks in a Dynamic Pricing Environment. 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring). 518. 1–5. 3 indexed citations
10.
Harjula, Erkki, et al.. (2021). Cloud and Edge Computation Offloading for Latency Limited Services. IEEE Access. 9. 55764–55776. 25 indexed citations
11.
Glisic, Savo, et al.. (2020). Multi-Domain Network Slicing With Latency Equalization. IEEE Transactions on Network and Service Management. 17(4). 2182–2196. 23 indexed citations
12.
Lorenzo, Beatriz, et al.. (2020). Deep Reinforcement Learning based Dynamic Edge/Fog Network Slicing. 1–6. 14 indexed citations
13.
Liu, Jianqing, Chi Zhang, Beatriz Lorenzo, & Yuguang Fang. (2019). DPavatar: A Real-Time Location Protection Framework for Incumbent Users in Cognitive Radio Networks. IEEE Transactions on Mobile Computing. 19(3). 552–565. 11 indexed citations
14.
González‐Castaño, Francisco J., et al.. (2018). Delay-Aware Optimization Framework for Proportional Flow Delay Differentiation in Millimeter-Wave Backhaul Cellular Networks. IEEE Transactions on Communications. 66(5). 2037–2051. 15 indexed citations
15.
Lorenzo, Beatriz, et al.. (2018). Data and Spectrum Trading Policies in a Trusted Cognitive Dynamic Network Architecture. IEEE/ACM Transactions on Networking. 26(3). 1502–1516. 11 indexed citations
16.
Glisic, Savo, et al.. (2018). User-Centric Distributed Spectrum Sharing in Dynamic Network Architectures. IEEE/ACM Transactions on Networking. 27(1). 15–28. 11 indexed citations
17.
Lorenzo, Beatriz, et al.. (2016). Heterogeneous millimeter-wave/micro-wave architecture for 5G wireless access and backhauling. 179–184. 10 indexed citations
18.
Tran, Le‐Nam, et al.. (2015). SOCP based joint throughput maximization and user association in Dynamic Networks. 2. 573–578. 3 indexed citations
19.
Lorenzo, Beatriz & Savo Glisic. (2012). Context-Aware Nanoscale Modeling of Multicast Multihop Cellular Networks. IEEE/ACM Transactions on Networking. 21(2). 359–372. 13 indexed citations
20.
Lorenzo, Beatriz & Savo Glisic. (2011). Multi-objective optimization for intercell interference management in advanced multihop cellular networks. 1401–1406. 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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