Eduardo Morgado

810 total citations
37 papers, 597 citations indexed

About

Eduardo Morgado is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Biomedical Engineering. According to data from OpenAlex, Eduardo Morgado has authored 37 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 15 papers in Computer Networks and Communications and 10 papers in Biomedical Engineering. Recurrent topics in Eduardo Morgado's work include Advanced MIMO Systems Optimization (8 papers), Wireless Networks and Protocols (5 papers) and Energy Efficient Wireless Sensor Networks (5 papers). Eduardo Morgado is often cited by papers focused on Advanced MIMO Systems Optimization (8 papers), Wireless Networks and Protocols (5 papers) and Energy Efficient Wireless Sensor Networks (5 papers). Eduardo Morgado collaborates with scholars based in Spain, United States and Belgium. Eduardo Morgado's co-authors include Felipe Alonso‐Atienza, Antonio J. Caamaño, Lorena T. Fernández‐Martínez, José Luis Rojo‐Álvarez, Arcadi Garcı́a-Alberola, Javier Ramos, Juan José Vinagre Díaz, Inmaculada Mora-Jiménez, J. Ramiro and Óscar Barquero‐Pérez and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Eduardo Morgado

33 papers receiving 572 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eduardo Morgado Spain 11 258 202 170 157 97 37 597
Carlos Figuera Spain 10 158 0.6× 166 0.8× 41 0.2× 53 0.3× 50 0.5× 28 480
Mohammad Loni Sweden 9 294 1.1× 52 0.3× 177 1.0× 44 0.3× 94 1.0× 17 532
Ashok Ghatol India 16 247 1.0× 99 0.5× 145 0.9× 51 0.3× 103 1.1× 73 884
Aleksandra Rashkovska Slovenia 11 224 0.9× 105 0.5× 97 0.6× 53 0.3× 186 1.9× 41 526
Dorothy Curtis United States 14 56 0.2× 527 2.6× 15 0.1× 251 1.6× 109 1.1× 29 918
Philipp Rostalski Germany 13 36 0.1× 42 0.2× 51 0.3× 16 0.1× 127 1.3× 75 626
Hehua Zhang China 13 52 0.2× 43 0.2× 13 0.1× 51 0.3× 74 0.8× 45 454
Louis Shue Singapore 13 80 0.3× 69 0.3× 53 0.3× 107 0.7× 61 0.6× 30 419
Kalyan Pathapati Subbu United States 9 85 0.3× 512 2.5× 21 0.1× 96 0.6× 124 1.3× 19 748

Countries citing papers authored by Eduardo Morgado

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo Morgado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduardo Morgado

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Morgado. A scholar is included among the top collaborators of Eduardo Morgado 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 Eduardo Morgado. Eduardo Morgado 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.
Martino, Luca, et al.. (2024). An index of effective number of variables for uncertainty and reliability analysis in model selection problems. Signal Processing. 227. 109735–109735.
2.
3.
Carro‐Calvo, L., et al.. (2024). Massive MIMO Channel Estimation With Convolutional Neural Network Structures. IEEE Transactions on Cognitive Communications and Networking. 11(1). 202–217. 1 indexed citations
4.
Morgado, Eduardo, et al.. (2023). Universal and automatic elbow detection for learning the effective number of components in model selection problems. Digital Signal Processing. 140. 104103–104103. 9 indexed citations
5.
Martino, Luca, et al.. (2023). Spectral information criterion for automatic elbow detection. Expert Systems with Applications. 231. 120705–120705. 8 indexed citations
6.
Martino, Luca, et al.. (2022). An Exhaustive Variable Selection Study for Linear Models of Soundscape Emotions: Rankings and Gibbs Analysis. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 2460–2474. 9 indexed citations
7.
Carro‐Calvo, L., et al.. (2022). Deep Neural Network: An Alternative to Traditional Channel Estimators in Massive MIMO Systems. IEEE Transactions on Cognitive Communications and Networking. 8(2). 657–671. 15 indexed citations
8.
Hernández‐Romero, Ismael, et al.. (2021). Non-invasive Estimation of Atrial Fibrillation Driver Position With Convolutional Neural Networks and Body Surface Potentials. Frontiers in Physiology. 12. 733449–733449. 6 indexed citations
9.
Hernández‐Romero, Ismael, Miguel Rodrigo, Eduardo Morgado, et al.. (2020). Atrial Fibrillation Driver Localization From Body Surface Potentials Using Deep Learning. Computing in cardiology. 3 indexed citations
10.
Morgado, Eduardo, et al.. (2019). On the Use of Decision Tree Regression for Predicting Vibration Frequency Response of Handheld Probes. IEEE Sensors Journal. 20(8). 4120–4130. 17 indexed citations
11.
Figuera, Carlos, et al.. (2019). A low complexity mechanism for congestion notification in rural IPSec‐enabled heterogeneous backhaul networks. International Journal of Communication Systems. 32(15).
12.
Figuera, Carlos, Unai Irusta, Eduardo Morgado, et al.. (2016). Machine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators. PLoS ONE. 11(7). e0159654–e0159654. 59 indexed citations
13.
Morgado, Eduardo, Felipe Alonso‐Atienza, Ricardo Santiago‐Mozos, et al.. (2015). Quality estimation of the electrocardiogram using cross-correlation among leads. BioMedical Engineering OnLine. 14(1). 59–59. 32 indexed citations
14.
Municio, Esteban, et al.. (2015). Sharing low-cost wireless infrastructures with telecommunications operators to bring 3G services to rural communities. Computer Networks. 93. 245–259. 18 indexed citations
15.
16.
Pastor, Giancarlo, et al.. (2013). Wireless Sensor Network for low-complexity entropy determination of human gait. 78. 2644–2648. 3 indexed citations
17.
Alonso‐Atienza, Felipe, Eduardo Morgado, Lorena T. Fernández‐Martínez, Arcadi Garcı́a-Alberola, & José Luis Rojo‐Álvarez. (2013). Detection of Life-Threatening Arrhythmias Using Feature Selection and Support Vector Machines. IEEE Transactions on Biomedical Engineering. 61(3). 832–840. 173 indexed citations
18.
Alonso‐Atienza, Felipe, Eduardo Morgado, Lorena T. Fernández‐Martínez, Arcadi Garcı́a-Alberola, & José Luis Rojo‐Álvarez. (2012). Combination of ECG parameters with support vector machines for the detection of life-threatening arrhythmias. Computing in Cardiology. 385–388. 16 indexed citations
19.
Morgado, Eduardo, et al.. (2011). Vehicular Sensor Networks in congested traffic: Linking STV field reconstruction and communications channel. 33001. 606–613. 3 indexed citations
20.

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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