Inmaculada Serrano

565 total citations
23 papers, 388 citations indexed

About

Inmaculada Serrano is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Inmaculada Serrano has authored 23 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 10 papers in Electrical and Electronic Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Inmaculada Serrano's work include Advanced MIMO Systems Optimization (10 papers), Millimeter-Wave Propagation and Modeling (5 papers) and Software System Performance and Reliability (4 papers). Inmaculada Serrano is often cited by papers focused on Advanced MIMO Systems Optimization (10 papers), Millimeter-Wave Propagation and Modeling (5 papers) and Software System Performance and Reliability (4 papers). Inmaculada Serrano collaborates with scholars based in Spain, Sweden and Hungary. Inmaculada Serrano's co-authors include Raquel Barco, Pablo Muñoz, Emil J. Khatib, Isabel de-la-Bandera, Enrique Carmona, Jesús M. Ibáñez, Daniel Stich, Javier Almendros, Sergio Fortes and Guillermo Cortés and has published in prestigious journals such as Expert Systems with Applications, IEEE Communications Magazine and Sensors.

In The Last Decade

Inmaculada Serrano

22 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inmaculada Serrano Spain 12 186 164 129 38 37 23 388
Yu-Ming Chang Taiwan 14 113 0.6× 320 2.0× 132 1.0× 50 1.3× 15 0.4× 49 596
Matthew Faulkner United States 7 52 0.3× 86 0.5× 165 1.3× 36 0.9× 11 0.3× 16 313
Edson Borin Brazil 13 123 0.7× 332 2.0× 147 1.1× 24 0.6× 5 0.1× 101 603
Guojun Li China 10 125 0.7× 152 0.9× 38 0.3× 4 0.1× 22 0.6× 41 339
Ashish Jain India 9 102 0.5× 221 1.3× 84 0.7× 12 0.3× 7 0.2× 27 317
Haitao Huang Japan 9 28 0.2× 30 0.2× 253 2.0× 8 0.2× 11 0.3× 18 456
Andres Méndez-Vázquez Mexico 9 22 0.1× 31 0.2× 83 0.6× 14 0.4× 8 0.2× 35 273
Pietro Ruiu Italy 8 52 0.3× 115 0.7× 31 0.2× 5 0.1× 11 0.3× 37 245
Christian Terboven Germany 9 27 0.1× 179 1.1× 48 0.4× 4 0.1× 21 0.6× 41 300

Countries citing papers authored by Inmaculada Serrano

Since Specialization
Citations

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

Fields of papers citing papers by Inmaculada Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inmaculada Serrano

This figure shows the co-authorship network connecting the top 25 collaborators of Inmaculada Serrano. A scholar is included among the top collaborators of Inmaculada Serrano 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 Inmaculada Serrano. Inmaculada Serrano 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.
Fortes, Sergio, Pablo Muñoz, Inmaculada Serrano, & Raquel Barco. (2020). Transform-Based Multiresolution Decomposition for Degradation Detection in Cellular Networks. Sensors. 20(19). 5645–5645. 3 indexed citations
2.
Barco, Raquel, et al.. (2018). Swapped Sectors Detection Based on Mobility Statistics. IEEE Communications Letters. 22(5). 1038–1041.
3.
Fortes, Sergio, et al.. (2018). Applying Social Event Data for the Management of Cellular Networks. IEEE Communications Magazine. 56(11). 36–43. 11 indexed citations
4.
Khatib, Emil J., Raquel Barco, Pablo Muñoz, & Inmaculada Serrano. (2017). Knowledge Acquisition for Fault Management in LTE Networks. Wireless Personal Communications. 95(3). 2895–2914. 6 indexed citations
5.
de-la-Bandera, Isabel, Pablo Muñoz, Inmaculada Serrano, & Raquel Barco. (2017). Improving Cell Outage Management Through Data Analysis. IEEE Wireless Communications. 24(4). 113–119. 9 indexed citations
6.
Khatib, Emil J., et al.. (2017). Modelling LTE Solved Troubleshooting Cases. Journal of Network and Systems Management. 26(1). 23–50. 5 indexed citations
7.
Khatib, Emil J., Raquel Barco, & Inmaculada Serrano. (2017). Degradation Detection Algorithm for LTE Root Cause Analysis. Wireless Personal Communications. 97(3). 4563–4572. 4 indexed citations
8.
Barco, Raquel, et al.. (2016). Unsupervised Performance Functions for Wireless Self-Organising Networks. Wireless Personal Communications. 90(4). 2017–2032. 2 indexed citations
9.
Barco, Raquel, et al.. (2016). Data Analytics for Diagnosing the RF Condition in Self-Organizing Networks. IEEE Transactions on Mobile Computing. 16(6). 1587–1600. 20 indexed citations
10.
Barco, Raquel, et al.. (2016). A method of assessment of LTE coverage holes. EURASIP Journal on Wireless Communications and Networking. 2016(1). 17 indexed citations
11.
Muñoz, Pablo, et al.. (2016). Root Cause Analysis Based on Temporal Analysis of Metrics Toward Self-Organizing 5G Networks. IEEE Transactions on Vehicular Technology. 66(3). 2811–2824. 19 indexed citations
12.
de-la-Bandera, Isabel, et al.. (2016). Fault compensation algorithm based on handover margins in LTE networks. EURASIP Journal on Wireless Communications and Networking. 2016(1). 1 indexed citations
13.
Muñoz, Pablo, et al.. (2016). Correlation-Based Time-Series Analysis for Cell Degradation Detection in SON. IEEE Communications Letters. 20(2). 396–399. 19 indexed citations
14.
Barco, Raquel, et al.. (2015). Unsupervised System for Diagnosis in LTE Networks Using Bayesian Networks. 1–5. 4 indexed citations
15.
Muñoz, Pablo, et al.. (2015). Automatic Root Cause Analysis for LTE Networks Based on Unsupervised Techniques. IEEE Transactions on Vehicular Technology. 65(4). 2369–2386. 75 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.
Khatib, Emil J., et al.. (2015). Diagnosis Based on Genetic Fuzzy Algorithms for LTE Self-Healing. IEEE Transactions on Vehicular Technology. 65(3). 1639–1651. 30 indexed citations
18.
Khatib, Emil J., et al.. (2015). Data mining for fuzzy diagnosis systems in LTE networks. Expert Systems with Applications. 42(21). 7549–7559. 23 indexed citations
19.
Khatib, Emil J., Raquel Barco, Inmaculada Serrano, & Pablo Muñoz. (2014). LTE performance data reduction for knowledge acquisition. 270–274. 9 indexed citations
20.
Carmona, Enrique, Javier Almendros, Rosa Martín, et al.. (2014). Advances in seismic monitoring at Deception Island volcano (Antarctica) since the International Polar Year. Annals of Geophysics. 57(3). 16 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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