Sandra Lagén

1.4k total citations
68 papers, 874 citations indexed

About

Sandra Lagén is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Media Technology. According to data from OpenAlex, Sandra Lagén has authored 68 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Electrical and Electronic Engineering, 39 papers in Computer Networks and Communications and 5 papers in Media Technology. Recurrent topics in Sandra Lagén's work include Advanced MIMO Systems Optimization (55 papers), Cooperative Communication and Network Coding (23 papers) and Advanced Wireless Network Optimization (18 papers). Sandra Lagén is often cited by papers focused on Advanced MIMO Systems Optimization (55 papers), Cooperative Communication and Network Coding (23 papers) and Advanced Wireless Network Optimization (18 papers). Sandra Lagén collaborates with scholars based in Spain, Finland and United States. Sandra Lagén's co-authors include Lorenza Giupponi, Biljana Bojović, Natale Patriciello, Josep Vidal, Adrián Agustín, Zoraze Ali, Richard Rouil, Paolo Dini, Mikko Valkama and Mário Costa and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Sandra Lagén

64 papers receiving 836 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandra Lagén Spain 15 746 428 90 77 49 68 874
Emmanouil Pateromichelakis Germany 16 662 0.9× 513 1.2× 86 1.0× 52 0.7× 36 0.7× 39 788
Athul Prasad Finland 14 549 0.7× 450 1.1× 76 0.8× 38 0.5× 36 0.7× 45 696
Andrey Samuylov Finland 16 767 1.0× 357 0.8× 90 1.0× 156 2.0× 32 0.7× 47 923
Guillermo Pocovi Denmark 16 754 1.0× 531 1.2× 68 0.8× 76 1.0× 31 0.6× 40 907
Mari Carmen Aguayo‐Torres Spain 14 619 0.8× 392 0.9× 34 0.4× 50 0.6× 53 1.1× 84 714
Wolfgang Kieß Germany 11 709 1.0× 853 2.0× 60 0.7× 39 0.5× 36 0.7× 45 1.1k
David Martín‐Sacristán Spain 12 515 0.7× 332 0.8× 44 0.5× 67 0.9× 18 0.4× 50 605
Mingjie Feng China 15 598 0.8× 408 1.0× 37 0.4× 123 1.6× 30 0.6× 46 787
Ylva Jading Sweden 9 1.4k 1.9× 1.0k 2.4× 82 0.9× 92 1.2× 41 0.8× 10 1.5k
Shehzad Ali Ashraf Sweden 6 623 0.8× 532 1.2× 45 0.5× 60 0.8× 34 0.7× 6 871

Countries citing papers authored by Sandra Lagén

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Lagén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandra Lagén

This figure shows the co-authorship network connecting the top 25 collaborators of Sandra Lagén. A scholar is included among the top collaborators of Sandra Lagén 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 Sandra Lagén. Sandra Lagén 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.
Lagén, Sandra, et al.. (2025). Analysis and optimizations of PMI and rank selection algorithms for 5G NR. Simulation Modelling Practice and Theory. 144. 103162–103162. 1 indexed citations
2.
Lagén, Sandra, et al.. (2024). On the impact of Open RAN Fronthaul Control in scenarios with XR Traffic. Computer Networks. 253. 110722–110722. 1 indexed citations
3.
Díez, Luis, et al.. (2024). Extending QoS-aware scheduling in ns-3 5G-LENA: A Lyapunov based solution. UCrea (University of Cantabria). 54–59. 1 indexed citations
4.
Bojović, Biljana & Sandra Lagén. (2024). 3GPP-compliant single-user MIMO model for high-fidelity mobile network simulations. Computer Networks. 256. 110912–110912. 3 indexed citations
5.
Bojović, Biljana, et al.. (2024). NR-U and Wi-Fi Coexistence in sub-7 GHz bands: Implementation and Evaluation of NR-U Type 1 Channel Access in ns-3. Kent Academic Repository (University of Kent). 36–44.
6.
Rezazadeh, Farhad, et al.. (2024). GenOnet: Generative Open xG Network Simulation with Multi-Agent LLM and ns-3. Zenodo (CERN European Organization for Nuclear Research). 69–71. 1 indexed citations
7.
Nardini, Giovanni, Marco Centenaro, Paolo Casari, et al.. (2024). Is Music in the Air? Evaluating 4G and 5G Support for the Internet of Musical Things. IEEE Access. 12. 38081–38101. 7 indexed citations
8.
Bojović, Biljana, et al.. (2023). System analysis of QoS schedulers for XR traffic in 5G NR. Simulation Modelling Practice and Theory. 125. 102745–102745. 10 indexed citations
9.
Sebastião, Pedro, et al.. (2023). Deep Attention Recognition for Attack Identification in 5G UAV Scenarios: Novel Architecture and End-to-End Evaluation. IEEE Transactions on Vehicular Technology. 73(1). 131–146. 8 indexed citations
10.
Lucas-Estañ, M. Carmen, et al.. (2023). An open-source implementation and validation of 5G NR configured grant for URLLC in ns-3 5G LENA: A scheduling case study in industry 4.0 scenarios. Journal of Network and Computer Applications. 215. 103638–103638. 9 indexed citations
11.
Lagén, Sandra, et al.. (2023). QoS Management for XR Traffic in 5G NR: A Multi-Layer System View and End-to-End Evaluation. IEEE Communications Magazine. 61(12). 192–198. 11 indexed citations
12.
Sebastião, Pedro, et al.. (2022). A Convolutional Attention Based Deep Learning Solution for 5G UAV Network Attack Recognition over Fading Channels and Interference. 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall). 1–5. 8 indexed citations
13.
Ali, Zoraze, Sandra Lagén, Lorenza Giupponi, & Richard Rouil. (2021). 3GPP NR V2X Mode 2: Overview, Models and System-Level Evaluation. IEEE Access. 9. 89554–89579. 106 indexed citations
14.
Bojović, Biljana, et al.. (2021). Novel radio environment map for the ns-3 NR simulator. UPCommons institutional repository (Universitat Politècnica de Catalunya). 41–48. 6 indexed citations
15.
Patriciello, Natale, Sandra Lagén, Lorenza Giupponi, & Biljana Bojović. (2018). 5G New Radio Numerologies and their Impact on the End-To-End Latency. Zenodo (CERN European Organization for Nuclear Research). 1–6. 34 indexed citations
16.
Agustín, Adrián, Sandra Lagén, & Josep Vidal. (2017). Signal-Timing Offset Compensation in Dense TDD OFDM-Based Networks. QRU Quaderns de Recerca en Urbanisme. 1–6. 1 indexed citations
17.
Lagén, Sandra, Adrián Agustín, & Josep Vidal. (2016). Joint user scheduling and transmit direction selection in 5G TDD dense small cell networks. QRU Quaderns de Recerca en Urbanisme. 1–6. 1 indexed citations
18.
Lagén, Sandra, Adrián Agustín, & Josep Vidal. (2014). Decentralized Beamforming with Coordinated Sounding for Inter-Cell Interference Management. European Wireless Conference. 1–6. 5 indexed citations
19.
Lagén, Sandra, Adrián Agustín, & Josep Vidal. (2014). Decentralized widely linear precoding design for the MIMO interference channel. QRU Quaderns de Recerca en Urbanisme. 771–776. 5 indexed citations
20.
Lagén, Sandra, Adrián Agustín, & Josep Vidal. (2013). Network-MIMO for downlink in-band relay transmissions. EURASIP Journal on Wireless Communications and Networking. 2013(1). 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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