Isabel de-la-Bandera

842 total citations
41 papers, 625 citations indexed

About

Isabel de-la-Bandera is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Isabel de-la-Bandera has authored 41 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 33 papers in Computer Networks and Communications and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Isabel de-la-Bandera's work include Advanced MIMO Systems Optimization (25 papers), Advanced Wireless Network Optimization (13 papers) and Wireless Communication Networks Research (11 papers). Isabel de-la-Bandera is often cited by papers focused on Advanced MIMO Systems Optimization (25 papers), Advanced Wireless Network Optimization (13 papers) and Wireless Communication Networks Research (11 papers). Isabel de-la-Bandera collaborates with scholars based in Spain, Denmark and Finland. Isabel de-la-Bandera's co-authors include Raquel Barco, Pablo Muñoz, Inmaculada Serrano, Emil J. Khatib, Salvador Luna-Ramírez, M. Toril, Jesús Rodrı́guez, Francisco Ruiz, Sergio Fortes and Dong Min Kim and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Communications Magazine.

In The Last Decade

Isabel de-la-Bandera

39 papers receiving 597 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabel de-la-Bandera Spain 15 475 412 76 53 35 41 625
Georgios Patounas Norway 3 387 0.8× 659 1.6× 72 0.9× 33 0.6× 37 1.1× 4 763
Sebastian Troìa Italy 16 418 0.9× 435 1.1× 147 1.9× 13 0.2× 46 1.3× 62 755
Olabisi E. Falowo South Africa 15 697 1.5× 686 1.7× 42 0.6× 78 1.5× 14 0.4× 87 878
David Ros France 12 281 0.6× 508 1.2× 40 0.5× 31 0.6× 14 0.4× 48 576
Stefano Paris France 14 302 0.6× 455 1.1× 28 0.4× 34 0.6× 47 1.3× 54 596
M. Toril Spain 16 624 1.3× 558 1.4× 59 0.8× 54 1.0× 9 0.3× 84 794
Chor Ping Low Singapore 15 455 1.0× 666 1.6× 83 1.1× 16 0.3× 19 0.5× 70 874
Antonio Capone Italy 17 636 1.3× 842 2.0× 46 0.6× 30 0.6× 26 0.7× 65 1.0k
Hanpeng Liu China 5 259 0.5× 250 0.6× 84 1.1× 10 0.2× 17 0.5× 8 439
Hassan Barada United Arab Emirates 14 231 0.5× 241 0.6× 73 1.0× 16 0.3× 13 0.4× 49 455

Countries citing papers authored by Isabel de-la-Bandera

Since Specialization
Citations

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

Fields of papers citing papers by Isabel de-la-Bandera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Isabel de-la-Bandera. 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 Isabel de-la-Bandera. The network helps show where Isabel de-la-Bandera may publish in the future.

Co-authorship network of co-authors of Isabel de-la-Bandera

This figure shows the co-authorship network connecting the top 25 collaborators of Isabel de-la-Bandera. A scholar is included among the top collaborators of Isabel de-la-Bandera 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 Isabel de-la-Bandera. Isabel de-la-Bandera 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.
Groshev, Milan, et al.. (2025). Graph Neural Networks for Open Radio Access Network Mobility Management: A Link Prediction Approach. IEEE Vehicular Technology Magazine. 20(4). 66–74.
2.
de-la-Bandera, Isabel, et al.. (2025). Real-Time Overshoot and Undershoot Detection in Cellular Networks. IEEE Access. 13. 22325–22341.
3.
de-la-Bandera, Isabel, et al.. (2021). Anomaly detection and analysis framework for mobile networks. 359–364. 1 indexed citations
4.
de-la-Bandera, Isabel, et al.. (2021). QoE Optimization in a Live Cellular Network through RLC Parameter Tuning. Sensors. 21(16). 5619–5619. 2 indexed citations
5.
de-la-Bandera, Isabel, et al.. (2021). Location-Aware Node Management Solution for Multi-Radio Dual Connectivity Scenarios. Sensors. 21(22). 7450–7450. 1 indexed citations
6.
de-la-Bandera, Isabel, et al.. (2021). 5G for Construction: Use Cases and Solutions. Electronics. 10(14). 1713–1713. 22 indexed citations
7.
Adeogun, Ramoni, et al.. (2021). Distributed Deep Reinforcement Learning Resource Allocation Scheme For Industry 4.0 Device-To-Device Scenarios. 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall). 1–7. 1 indexed citations
8.
de-la-Bandera, Isabel, et al.. (2020). Traffic Steering for eMBB in Multi-Connectivity Scenarios. Electronics. 9(12). 2063–2063. 4 indexed citations
9.
de-la-Bandera, Isabel, et al.. (2020). Multinode Component Carrier Management: Multiconnectivity in 5G. IEEE Vehicular Technology Magazine. 16(2). 40–47. 2 indexed citations
10.
de-la-Bandera, Isabel, et al.. (2020). Online Anomaly Detection System for Mobile Networks. Sensors. 20(24). 7232–7232. 11 indexed citations
11.
de-la-Bandera, Isabel, et al.. (2020). Feature Extraction for Dimensionality Reduction in Cellular Networks Performance Analysis. Sensors. 20(23). 6944–6944. 11 indexed citations
12.
Mahmood, Nurul Huda, et al.. (2019). University of Oulu Repository (University of Oulu). 10 indexed citations
13.
Khatib, Emil J., et al.. (2018). Dynamic Multipath Connection for Low-Latency Vehicle- to-Everything (V2X) Communications. 1–5. 2 indexed citations
14.
Fortes, Sergio, et al.. (2018). Self-Healing Framework for Next-Generation Networks through Dimensionality Reduction. IEEE Communications Magazine. 56(7). 170–176. 17 indexed citations
15.
Khatib, Emil J., et al.. (2016). Self-healing in mobile networks with big data. IEEE Communications Magazine. 54(1). 114–120. 36 indexed citations
16.
de-la-Bandera, Isabel, Raquel Barco, Pablo Muñoz, & Inmaculada Serrano. (2015). Cell Outage Detection Based on Handover Statistics. IEEE Communications Letters. 19(7). 1189–1192. 32 indexed citations
17.
Muñoz, Pablo, Raquel Barco, & Isabel de-la-Bandera. (2014). Load balancing and handover joint optimization in LTE networks using Fuzzy Logic and Reinforcement Learning. Computer Networks. 76. 112–125. 47 indexed citations
18.
Luna-Ramírez, Salvador, M. Toril, Francisco Ruiz, et al.. (2012). Design of a Computationally Efficient Dynamic System‐Level Simulator for Enterprise LTE Femtocell Scenarios. Journal of Electrical and Computer Engineering. 2012(1). 16 indexed citations
19.
Luna-Ramírez, Salvador, et al.. (2011). Analysis of load sharing techniques in enterprise LTE femtocells. 195–200. 13 indexed citations
20.
Muñoz, Pablo, Isabel de-la-Bandera, Raquel Barco, et al.. (2010). Estimation of link-layer quality parameters in a system-level LTE simulator. 37. 1–5. 7 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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2026