E. Barrera

739 total citations
62 papers, 536 citations indexed

About

E. Barrera is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Radiation. According to data from OpenAlex, E. Barrera has authored 62 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Nuclear and High Energy Physics, 16 papers in Computer Networks and Communications and 11 papers in Radiation. Recurrent topics in E. Barrera's work include Magnetic confinement fusion research (35 papers), Advanced Data Storage Technologies (9 papers) and Superconducting Materials and Applications (8 papers). E. Barrera is often cited by papers focused on Magnetic confinement fusion research (35 papers), Advanced Data Storage Technologies (9 papers) and Superconducting Materials and Applications (8 papers). E. Barrera collaborates with scholars based in Spain, France and Italy. E. Barrera's co-authors include M. Ruíz, J. Vega, Francesco Lanza di Scalea, R. Castro, D.G. Bekas, Gerardo Aranguren, E. Sánchez, Juan Manuel López, D. Sanz and Guillermo de Arcas and has published in prestigious journals such as Sensors, Review of Scientific Instruments and IEEE Sensors Journal.

In The Last Decade

E. Barrera

58 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Barrera Spain 12 191 187 128 123 101 62 536
Miguel Correia Portugal 11 54 0.3× 242 1.3× 20 0.2× 59 0.5× 85 0.8× 48 432
G. Bianchi Italy 12 15 0.1× 38 0.2× 36 0.3× 28 0.2× 203 2.0× 49 488
Sara Carcangiu Italy 11 23 0.1× 104 0.6× 45 0.4× 21 0.2× 105 1.0× 39 349
Il Han Park South Korea 13 63 0.3× 10 0.1× 60 0.5× 133 1.1× 276 2.7× 70 457
Shuangbao Shu China 11 39 0.2× 63 0.3× 49 0.4× 30 0.2× 70 0.7× 70 363
Rui Ge China 12 116 0.6× 22 0.1× 128 1.0× 86 0.7× 149 1.5× 81 491
Haobin Dong China 11 25 0.1× 27 0.1× 59 0.5× 21 0.2× 85 0.8× 45 293
Yavuz Ege Türkiye 13 127 0.7× 5 0.0× 264 2.1× 63 0.5× 141 1.4× 38 577
Attilio Milanese Switzerland 12 54 0.3× 45 0.2× 37 0.3× 86 0.7× 148 1.5× 58 476
V. Lappas United Kingdom 13 19 0.1× 33 0.2× 87 0.7× 42 0.3× 211 2.1× 25 551

Countries citing papers authored by E. Barrera

Since Specialization
Citations

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

Fields of papers citing papers by E. Barrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Barrera

This figure shows the co-authorship network connecting the top 25 collaborators of E. Barrera. A scholar is included among the top collaborators of E. Barrera 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 E. Barrera. E. Barrera 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.
Karkinsky, D., et al.. (2024). Assessing NI FPGA-Based Platform With MXIe Interface for Use in ITER Hard Real-Time Investment Protection Applications. IEEE Transactions on Nuclear Science. 72(3). 530–537.
2.
Barrera, E., et al.. (2024). Convolutional Autoencoders for Signal Reconstruction and their Application to Damage Signature Extraction. e-Journal of Nondestructive Testing. 29(7).
3.
Barrera, E., et al.. (2022). Verification and Validation of ITER Interlock System Fast Architecture According to IEC 61508 Standard. IEEE Transactions on Nuclear Science. 70(6). 1164–1170. 2 indexed citations
4.
Scalea, Francesco Lanza di, et al.. (2021). Damage imaging in skin-stringer composite aircraft panel by ultrasonic-guided waves using deep learning with convolutional neural network. Structural Health Monitoring. 21(3). 1123–1138. 67 indexed citations
5.
Ruíz, M., et al.. (2021). Damage Localization in Composite Plates Using Wavelet Transform and 2-D Convolutional Neural Networks. Sensors. 21(17). 5825–5825. 30 indexed citations
6.
Barrera, E., et al.. (2020). Influence and Compensation of Temperature Effects for Damage Detection and Localization in Aerospace Composites. Sensors. 20(15). 4153–4153. 15 indexed citations
7.
Barrera, E., et al.. (2019). Damage Detection and Characterization in Composites Using a Geometric Modification of the RAPID Algorithm. IEEE Sensors Journal. 20(4). 2084–2093. 46 indexed citations
8.
Barrera, E., et al.. (2019). FPGA-based interlock system for the chopper of the Linear IFMIF prototype accelerator injector. Fusion Engineering and Design. 146. 1708–1711. 1 indexed citations
9.
Barrera, E., et al.. (2017). Implementation of ITER Fast Plant Interlock System Using FPGAs With CompactRIO. IEEE Transactions on Nuclear Science. 65(2). 796–804. 10 indexed citations
10.
11.
Esquembri, S., M. Ruíz, E. Barrera, et al.. (2016). Implementation of an image acquisition and processing system based on FlexRIO, CameraLink and areaDetector. Fusion Engineering and Design. 112. 937–941. 3 indexed citations
12.
Esquembri, S., D. Sanz, E. Barrera, et al.. (2016). Hardware Timestamping for an Image Acquisition System Based on FlexRIO and IEEE 1588 v2 Standard. IEEE Transactions on Nuclear Science. 63(1). 228–235. 11 indexed citations
13.
14.
Sanz, D., M. Ruíz, Juan Manuel López, et al.. (2013). IEEE1588 V2 clock distribution in FlexRIO devices: clock drift measurement. RACO (Revistes Catalanes amb Accés Obert) (Consorci de Serveis Universitaris de Catalunya). 43–43. 1 indexed citations
15.
Arcas, Guillermo de, M. Ruíz, J. Vega, et al.. (2012). A GPU-based real time high performance computing service in a fast plant system controller prototype for ITER. Fusion Engineering and Design. 87(12). 2152–2155. 4 indexed citations
16.
Arcas, Guillermo de, J. Vega, M. Ruíz, et al.. (2011). Exploiting Graphic Processing Units Parallelism to Improve Intelligent Data Acquisition System Performance in JET's Correlation Reflectometer. IEEE Transactions on Nuclear Science. 58(4). 1714–1718. 1 indexed citations
17.
Ruíz, M., J. Vega, E. Barrera, et al.. (2010). Test-bed of a real time detection system for L/H and H/L transitions implemented with the ITMS platform. Fusion Engineering and Design. 85(3-4). 360–366. 2 indexed citations
18.
González, J., M. Ruíz, E. Barrera, et al.. (2010). Service-oriented architecture of adaptive, intelligent data acquisition and processing systems for long-pulse fusion experiments. Fusion Engineering and Design. 85(3-4). 274–279. 5 indexed citations
19.
Ruíz, M., J. Vega, G.A. Rattá, et al.. (2010). Real time plasma disruptions detection in JET implemented with the ITMS platform using FPGA based IDAQ. 1–4. 2 indexed citations
20.
López, Juan Manuel, M. Ruíz, E. Barrera, Guillermo de Arcas, & J. Vega. (2008). Implementation of local area network extension for instrumentation standard trigger capabilities in advanced data acquisition platforms. Review of Scientific Instruments. 79(10). 10F335–10F335. 5 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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