S. Esquembri

799 total citations
20 papers, 134 citations indexed

About

S. Esquembri is a scholar working on Nuclear and High Energy Physics, Radiation and Electrical and Electronic Engineering. According to data from OpenAlex, S. Esquembri has authored 20 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nuclear and High Energy Physics, 6 papers in Radiation and 6 papers in Electrical and Electronic Engineering. Recurrent topics in S. Esquembri's work include Particle Detector Development and Performance (7 papers), Magnetic confinement fusion research (7 papers) and Nuclear Physics and Applications (4 papers). S. Esquembri is often cited by papers focused on Particle Detector Development and Performance (7 papers), Magnetic confinement fusion research (7 papers) and Nuclear Physics and Applications (4 papers). S. Esquembri collaborates with scholars based in Spain, United Kingdom and Italy. S. Esquembri's co-authors include M. Ruíz, E. Barrera, J. Vega, D. Sanz, D. Valcárcel, P. Bunting, R. Castro, S. Silburn, Guillermo de Arcas and V. Riccardo and has published in prestigious journals such as IEEE Transactions on Nuclear Science, Fusion Engineering and Design and UPM Digital Archive (Technical University of Madrid).

In The Last Decade

S. Esquembri

19 papers receiving 127 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Esquembri Spain 7 51 29 26 25 25 20 134
Bin Xin China 10 87 1.7× 35 1.2× 21 0.8× 42 1.7× 45 1.8× 27 244
Marko Andjelković Germany 11 8 0.2× 5 0.2× 44 1.7× 28 1.1× 12 0.5× 72 343
J. Bouvier France 7 30 0.6× 12 0.5× 12 0.5× 22 0.9× 24 174
Steven M. Guertin United States 10 27 0.5× 2 0.1× 30 1.2× 56 2.2× 30 1.2× 46 337
Paul Springer United States 8 17 0.3× 3 0.1× 56 2.2× 10 0.4× 42 158
P. Lebrun United States 6 57 1.1× 1 0.0× 22 0.8× 7 0.3× 47 1.9× 32 181
Basel Salahieh United States 5 7 0.1× 12 0.4× 35 1.3× 3 0.1× 4 0.2× 15 308
Lucas Antunes Tambara Brazil 12 13 0.3× 2 0.1× 14 0.5× 83 3.3× 14 0.6× 35 386
Fernando Chierchie Argentina 9 38 0.7× 5 0.2× 12 0.5× 41 1.6× 52 280
P. Leu Switzerland 8 23 0.5× 3 0.1× 52 2.1× 62 2.5× 10 174

Countries citing papers authored by S. Esquembri

Since Specialization
Citations

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

Fields of papers citing papers by S. Esquembri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Esquembri

This figure shows the co-authorship network connecting the top 25 collaborators of S. Esquembri. A scholar is included among the top collaborators of S. Esquembri 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 S. Esquembri. S. Esquembri 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.
Ruíz, M., A. Stephen, S. Esquembri, et al.. (2021). Real-Time Implementation of the Neutron/Gamma Discrimination in an FPGA-Based DAQ MTCA Platform Using a Convolutional Neural Network. IEEE Transactions on Nuclear Science. 68(8). 2173–2178. 8 indexed citations
2.
Esquembri, S., et al.. (2021). Application of Heterogeneous Computing Techniques for the Development of an Image-Based Hot Spot Detection System Using MTCA. IEEE Transactions on Nuclear Science. 68(8). 2151–2158. 4 indexed citations
3.
Ruíz, M., et al.. (2021). Development of deep learning applications in FPGA-based fusion diagnostics using IRIO-OpenCL and NDS. Fusion Engineering and Design. 168. 112393–112393. 3 indexed citations
4.
Ruíz, M., et al.. (2020). A methodology to standardize the development of FPGA-based high-performance DAQ and processing systems using OpenCL. Fusion Engineering and Design. 155. 111561–111561. 8 indexed citations
5.
Ruíz, M., et al.. (2019). OpenCL Implementation of an Adaptive Disruption Predictor Based on a Probabilistic Venn Classifier. IEEE Transactions on Nuclear Science. 66(7). 1007–1013. 3 indexed citations
6.
Esquembri, S., et al.. (2019). ITER upper visible/infrared wide angle viewing system: I&C design and prototyping status. Fusion Engineering and Design. 146. 2446–2449. 3 indexed citations
7.
Esquembri, S.. (2018). Embedded Linux Systems: Using Buildroot for building Embedded Linux Systems on Raspberry Pi 3. UPM Digital Archive (Technical University of Madrid). 1 indexed citations
8.
Esquembri, S., J. Vega, A. Murari, et al.. (2018). Real-Time Implementation in JET of the SPAD Disruption Predictor Using MARTe. IEEE Transactions on Nuclear Science. 65(2). 836–842. 14 indexed citations
9.
10.
Esquembri, S., et al.. (2017). FPGA-Based Solutions for Analog Data Acquisition and Processing Integrated in Area Detector Using FlexRIO Technology. IEEE Transactions on Nuclear Science. 65(2). 781–787. 5 indexed citations
11.
Ruíz, M., et al.. (2017). Implementing a Neutron-Diagnostic advanced DAQ system use case on a PXIe platform through a 3D remote laboratory. Fusion Engineering and Design. 123. 882–886. 1 indexed citations
12.
Iglesias, Daniel, P. Bunting, S. Esquembri, et al.. (2017). Digital twin applications for the JET divertor. Fusion Engineering and Design. 125. 71–76. 38 indexed citations
13.
14.
Sanz, D., S. Esquembri, Guillermo de Arcas, et al.. (2016). High performance image acquisition and processing architecture for fast plant system controllers based on FPGA and GPU. Fusion Engineering and Design. 112. 957–960. 6 indexed citations
15.
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
16.
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
17.
Ruíz, M., et al.. (2016). IRIO technology: Developing applications for advanced DAQ systems using FPGAs. 96 97. 1–5. 9 indexed citations
18.
Vega, J., R. Moreno, A. Pereira, et al.. (2016). Review of disruption predictors in nuclear fusion: Classical, from scratch and anomaly detection approaches. 6375–6379. 3 indexed citations
19.
Contreras, Daniel A., M. Ruíz, D. Sanz, et al.. (2016). 3D virtual world remote laboratory to assist in designing advanced user defined DAQ systems based on FlexRIO and EPICS. Fusion Engineering and Design. 112. 1059–1062. 6 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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