Sergio Barrachina

40 papers receiving 473 citations

Peers

Sergio Barrachina
Comparison fields: 5 of 74
  • Artificial Intelligence 256
  • Hardware and Architecture 135
  • Computer Vision and Pattern Recognition 103
  • Computer Networks and Communications 94
  • Computational Theory and Mathematics 60
Replace Chun Huang with:
Chun Huang China
Amin Farmahini-Farahani United States
Onur Günlü Germany
Qiang Zhou China
Henning Meyerhenke Germany
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Citations per field
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Citations per year

Countries citing papers authored by Sergio Barrachina

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Barrachina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergio Barrachina

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Barrachina. A scholar is included among the top collaborators of Sergio Barrachina 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 Sergio Barrachina. Sergio Barrachina 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
#WorkIndexed citations
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Utilizando ARMSim y QtARMSim para la docencia de Arquitectura de Computadores
2
12
Utilizando Arduino Due en la docencia de la entrada/salida
4
13
An Integrated Framework for Power-Performance Analysis of Parallel Scientific Workloads
27
14
AN INTERACTIVE ANIMATION FOR LEARNING HOW CACHE COHERENCE PROTOCOLS WORK
2
15
The UJIpenchars Database: a Pen-Based Database of Isolated Handwritten Characters.
32
16
Computer-assisted translation using finite-state transducers
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From Machine Translation to Computer Assisted Translation using Finite-State Models
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About Sergio Barrachina

Sergio Barrachina is a scholar working on Hardware and Architecture, Numerical Analysis and Artificial Intelligence, having authored 44 papers that have together received 534 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (17 papers), Advanced Neural Network Applications (10 papers) and Natural Language Processing Techniques (7 papers). The work is most often cited by research in Hardware and Architecture (135 citations), Artificial Intelligence (256 citations) and Computer Vision and Pattern Recognition (103 citations). Sergio Barrachina has collaborated with scholars based in Spain, Germany and United Kingdom. Frequent co-authors include Enrique S. Quintana–Ort́ı, Rafael Mayo, Maribel Castillo, Juan Miguel Vilar, Francisco D. Igual, Enrique Vidal, Francisco Casacuberta, Manuel F. Dolz, Hermann Ney and Jorge Civera. Their work appears in journals such as IEEE Internet of Things Journal, Computational Linguistics and Journal of Parallel and Distributed Computing.

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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