Antonio Sánchez-Esguevillas

3.9k total citations · 2 hit papers
47 papers, 2.8k citations indexed

About

Antonio Sánchez-Esguevillas is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Antonio Sánchez-Esguevillas has authored 47 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 22 papers in Artificial Intelligence and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Antonio Sánchez-Esguevillas's work include Network Security and Intrusion Detection (13 papers), Energy Load and Power Forecasting (11 papers) and Internet Traffic Analysis and Secure E-voting (9 papers). Antonio Sánchez-Esguevillas is often cited by papers focused on Network Security and Intrusion Detection (13 papers), Energy Load and Power Forecasting (11 papers) and Internet Traffic Analysis and Secure E-voting (9 papers). Antonio Sánchez-Esguevillas collaborates with scholars based in Spain, United States and Australia. Antonio Sánchez-Esguevillas's co-authors include Belén Carro, Jaime Lloret, Manuel López‐Martín, Luís Hernández-Callejo, Javier M. Aguiar, Carlos Baladrón, Joaquim Massana, Lorena Calavia, Juan Ignacio Arribas and David Chinarro and has published in prestigious journals such as Proceedings of the IEEE, IEEE Communications Surveys & Tutorials and Expert Systems with Applications.

In The Last Decade

Antonio Sánchez-Esguevillas

46 papers receiving 2.7k citations

Hit Papers

Network Traffic Classifier With Convolutional and Recurre... 2014 2026 2018 2022 2017 2014 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things
    2017 504 citations Manuel López‐Martín, Belén Carro et al. IEEE Access profile →
  2. A Survey on Electric Power Demand Forecasting: Future Trends in Smart Grids, Microgrids and Smart Buildings
    2014 381 citations Luís Hernández-Callejo, Carlos Baladrón et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio Sánchez-Esguevillas Spain 25 1.4k 1.2k 1.2k 559 380 47 2.8k
Belén Carro Spain 29 1.5k 1.1× 1.4k 1.1× 1.2k 1.0× 653 1.2× 429 1.1× 82 3.2k
Zhigang Jin China 28 847 0.6× 975 0.8× 890 0.7× 125 0.2× 162 0.4× 217 3.0k
Rongpeng Li China 29 876 0.6× 2.0k 1.6× 1.7k 1.4× 295 0.5× 229 0.6× 128 3.7k
Kui Wu Canada 33 803 0.6× 2.5k 2.0× 1.5k 1.2× 366 0.7× 284 0.7× 212 4.1k
Kalyan Veeramachaneni United States 21 1.3k 0.9× 471 0.4× 308 0.3× 286 0.5× 179 0.5× 82 2.5k
James J. Q. Yu China 28 1.2k 0.9× 498 0.4× 1.4k 1.2× 229 0.4× 1.2k 3.3× 100 3.8k
Haoxiang Wang United States 23 577 0.4× 778 0.6× 536 0.4× 229 0.4× 145 0.4× 67 2.0k
Ali Ouni Canada 33 758 0.6× 651 0.5× 662 0.6× 372 0.7× 162 0.4× 124 3.5k
Wu Yang China 28 635 0.5× 1.1k 0.9× 973 0.8× 247 0.4× 113 0.3× 155 2.6k
Zhetao Li China 35 1.1k 0.8× 2.2k 1.8× 1.5k 1.3× 168 0.3× 285 0.8× 194 4.5k

Countries citing papers authored by Antonio Sánchez-Esguevillas

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Sánchez-Esguevillas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio Sánchez-Esguevillas. 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 Antonio Sánchez-Esguevillas. The network helps show where Antonio Sánchez-Esguevillas may publish in the future.

Co-authorship network of co-authors of Antonio Sánchez-Esguevillas

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Sánchez-Esguevillas. A scholar is included among the top collaborators of Antonio Sánchez-Esguevillas 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 Antonio Sánchez-Esguevillas. Antonio Sánchez-Esguevillas 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.
López‐Martín, Manuel, Antonio Sánchez-Esguevillas, Juan Ignacio Arribas, & Belén Carro. (2022). Contrastive Learning Over Random Fourier Features for IoT Network Intrusion Detection. IEEE Internet of Things Journal. 10(10). 8505–8513. 10 indexed citations
2.
López‐Martín, Manuel, Belén Carro, Juan Ignacio Arribas, & Antonio Sánchez-Esguevillas. (2021). Network intrusion detection with a novel hierarchy of distances between embeddings of hash IP addresses. Knowledge-Based Systems. 219. 106887–106887. 23 indexed citations
3.
López‐Martín, Manuel, Antonio Sánchez-Esguevillas, Luís Hernández-Callejo, Juan Ignacio Arribas, & Belén Carro. (2021). Additive Ensemble Neural Network with Constrained Weighted Quantile Loss for Probabilistic Electric-Load Forecasting. Sensors. 21(9). 2979–2979. 15 indexed citations
4.
López‐Martín, Manuel, Antonio Sánchez-Esguevillas, Juan Ignacio Arribas, & Belén Carro. (2021). Network Intrusion Detection Based on Extended RBF Neural Network With Offline Reinforcement Learning. IEEE Access. 9. 153153–153170. 48 indexed citations
5.
López‐Martín, Manuel, Antonio Sánchez-Esguevillas, Luís Hernández-Callejo, Juan Ignacio Arribas, & Belén Carro. (2021). Novel Data-Driven Models Applied to Short-Term Electric Load Forecasting. Applied Sciences. 11(12). 5708–5708. 20 indexed citations
6.
López‐Martín, Manuel, Belén Carro, Antonio Sánchez-Esguevillas, & Jaime Lloret. (2019). Shallow neural network with kernel approximation for prediction problems in highly demanding data networks. Expert Systems with Applications. 124. 196–208. 60 indexed citations
7.
López‐Martín, Manuel, Belén Carro, & Antonio Sánchez-Esguevillas. (2019). Application of deep reinforcement learning to intrusion detection for supervised problems. Expert Systems with Applications. 141. 112963–112963. 222 indexed citations
8.
López‐Martín, Manuel, Belén Carro, & Antonio Sánchez-Esguevillas. (2018). Variational data generative model for intrusion detection. Knowledge and Information Systems. 60(1). 569–590. 33 indexed citations
9.
López‐Martín, Manuel, et al.. (2018). Deep Learning Model for Multimedia Quality of Experience Prediction Based on Network Flow Packets. IEEE Communications Magazine. 56(9). 110–117. 39 indexed citations
10.
Sánchez-Esguevillas, Antonio, et al.. (2017). Review of Methods to Predict Connectivity of IoT Wireless Devices.. 38. 125–141. 10 indexed citations
11.
López‐Martín, Manuel, Belén Carro, Antonio Sánchez-Esguevillas, & Jaime Lloret. (2017). Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT. Sensors. 17(9). 1967–1967. 196 indexed citations
12.
Aguiar, Javier M., et al.. (2013). Innovative DAMA algorithm for multimedia DVB-RCS system. EURASIP Journal on Wireless Communications and Networking. 2013(1). 6 indexed citations
13.
Hernández-Callejo, Luís, Carlos Baladrón, Javier M. Aguiar, et al.. (2013). Experimental Analysis of the Input Variables’ Relevance to Forecast Next Day’s Aggregated Electric Demand Using Neural Networks. Energies. 6(6). 2927–2948. 28 indexed citations
14.
Fernández, Jorge García, Lorena Calavia, Carlos Baladrón, et al.. (2013). An Intelligent Surveillance Platform for Large Metropolitan Areas with Dense Sensor Deployment. Sensors. 13(6). 7414–7442. 22 indexed citations
15.
Calavia, Lorena, Carlos Baladrón, Javier M. Aguiar, Belén Carro, & Antonio Sánchez-Esguevillas. (2012). A Semantic Autonomous Video Surveillance System for Dense Camera Networks in Smart Cities. Sensors. 12(8). 10407–10429. 46 indexed citations
16.
Hernández-Callejo, Luís, Carlos Baladrón, Javier M. Aguiar, et al.. (2012). A Study of the Relationship between Weather Variables and Electric Power Demand inside a Smart Grid/Smart World Framework. Sensors. 12(9). 11571–11591. 86 indexed citations
17.
Sánchez-Esguevillas, Antonio, et al.. (2011). Future convergent telecommunications services: creation, context, P2P, QoS, and charging [Guest Editorial]. IEEE Communications Magazine. 49(1). 58–59. 3 indexed citations
18.
Baladrón, Carlos, et al.. (2011). Improving teaching in engineering education: adjunct enterprise professors programme. Journal of Intelligent Manufacturing. 24(3). 495–499. 5 indexed citations
19.
Sánchez-Esguevillas, Antonio, et al.. (2010). Deployment of contextual corporate telco services based on protocol adaptation in the NGN environment. IEEE Communications Magazine. 48(4). 34–40. 2 indexed citations
20.
Baladrón, Carlos, et al.. (2010). Management of service sessions in an NGN-SOA execution environment [Next-Generation Telco IT Architectures. IEEE Communications Magazine. 48(8). 103–109. 3 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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