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Teresa Serrano-Gotarredona

Teresa Serrano-Gotarredona

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
42
Citations
10114
World Ranking
4027
National Ranking
68

Teresa Serrano-Gotarredona publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Teresa Serrano-Gotarredona sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 218 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Teresa Serrano-Gotarredona D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Teresa Serrano-Gotarredona sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 42 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Teresa Serrano-Gotarredona is affiliated with the University of Seville in Spain. Their research mainly addresses fields within engineering and neuroscience, focusing particularly on electrical and electronic engineering as well as artificial intelligence.

Their scholarly work encompasses multiple subfields, including cognitive neuroscience, cellular and molecular neuroscience, and computer networks and communications. Key topics of interest include advanced memory and neural computing, ferroelectric and negative capacitance devices, neural dynamics and brain function, and neural networks and reservoir computing. Additional areas of study involve CCD and CMOS imaging sensors, neuroscience and neural engineering, and applications of neural networks.

Teresa Serrano-Gotarredona has contributed publications to various scientific journals and repositories. Frequent publication venues include arXiv with seven publications, Frontiers in Neuroscience with two, IEEE Access with two, IEEE Journal on Emerging and Selected Topics in Circuits and Systems with two, and IEEE Transactions on Circuits and Systems I Regular Papers also with two papers.

Recent papers authored by or including Serrano-Gotarredona comprise:

  • "Roadmap to neuromorphic computing with emerging technologies" (2024) published in APL Materials
  • "Fully Parallel Stochastic Computing Hardware Implementation of Convolutional Neural Networks for Edge Computing Applications" (2022) published in IEEE Transactions on Neural Networks and Learning Systems
  • "Hardware Implementation of Differential Oscillatory Neural Networks Using VO 2-Based Oscillators and Memristor-Bridge Circuits" (2021) published in Frontiers in Neuroscience
  • "Liquid State Machine on SpiNNaker for Spatio-Temporal Classification Tasks" (2022) published in Frontiers in Neuroscience
  • "SL-Animals-DVS: event-driven sign language animals dataset" (2021) published in Pattern Analysis and Applications

The scientist collaborates frequently with other researchers. Notable frequent co-authors include B. Linares-Barranco with 32 collaborations, Elisa Vianello with six, Luis A. Camuñas-Mesa with six, Daniele Ielmini with four, and M.J. Avedillo with four co-authored works.

Best Publications

  • Neuromorphic Silicon Neuron Circuits

    Giacomo Indiveri;Bernabé Linares-Barranco;Tara Julia Hamilton;André van Schaik

  • On Spike-Timing-Dependent-Plasticity, Memristive Devices, and Building a Self-Learning Visual Cortex

    Carlos Zamarreño-Ramos;Luis A. Camuñas-Mesa;Jose A. Pérez-Carrasco;Timothée Masquelier

  • STDP and STDP variations with memristors for spiking neuromorphic learning systems.

    Teresa Serrano-Gotarredona;Timothée Masquelier;Themistoklis Prodromakis;Giacomo Indiveri

  • Retinomorphic event-based vision sensors: Bioinspired cameras with spiking output

    Christoph Posch;Teresa Serrano-Gotarredona;Bernabe Linares-Barranco;Tobi Delbruck

  • CAVIAR: A 45k Neuron, 5M Synapse, 12G Connects/s AER Hardware Sensory–Processing– Learning–Actuating System for High-Speed Visual Object Recognition and Tracking

    R. Serrano-Gotarredona;M. Oster;P. Lichtsteiner;A. Linares-Barranco

  • Mapping from Frame-Driven to Frame-Free Event-Driven Vision Systems by Low-Rate Rate Coding and Coincidence Processing--Application to Feedforward ConvNets

    J. A. Perez-Carrasco;Bo Zhao;C. Serrano;B. Acha

  • Memristance can explain Spike-Time-Dependent-Plasticity in Neural Synapses

    Bernabé Linares-Barranco;Teresa Serrano-Gotarredona

  • Plasticity in memristive devices for spiking neural networks

    Sylvain Saïghi;Christian G. Mayr;Teresa Serrano-Gotarredona;Heidemarie Schmidt

  • A memristive nanoparticle/organic hybrid synapstor for neuro-inspired computing

    F. Alibart;S. Pleutin;O. Bichler;C. Gamrat

  • On the design and characterization of femtoampere current-mode circuits

    B. Linares-Barranco;T. Serrano-Gotarredona

  • A Memristive Nanoparticle/Organic Hybrid Synapstor for Neuroinspired Computing

    Fabien Alibart;Stéphane Pleutin;Olivier Bichler;Christian Gamrat

  • Poker-DVS and MNIST-DVS. Their History, How They Were Made, and Other Details

    Teresa Serrano-Gotarredona;Bernabé Linares-Barranco

  • A 3.6 $\mu$ s Latency Asynchronous Frame-Free Event-Driven Dynamic-Vision-Sensor

    J A Leñero-Bardallo;T Serrano-Gotarredona;B Linares-Barranco

  • A Neuromorphic Cortical-Layer Microchip for Spike-Based Event Processing Vision Systems

    R. Serrano-Gotarredona;T. Serrano-Gotarredona;A. Acosta-Jimenez;B. Linares-Barranco

  • An Event-Driven Classifier for Spiking Neural Networks Fed with Synthetic or Dynamic Vision Sensor Data.

    Evangelos Stromatias;Miguel Soto;Teresa Serrano-Gotarredona;Bernabé Linares-Barranco

  • An Event-Driven Multi-Kernel Convolution Processor Module for Event-Driven Vision Sensors

    Luis Camunas-Mesa;C. Zamarreno-Ramos;A. Linares-Barranco;Antonio J. Acosta-Jimenez

  • A general translinear principle for subthreshold MOS transistors

    T. Serrano-Gotarredona;B. Linares-Barranco;A.G. Andreou

  • A Spatial Contrast Retina With On-Chip Calibration for Neuromorphic Spike-Based AER Vision Systems

    J. Costas-Santos;T.. Serrano-Gotarredona;R.. Serrano-Gotarredona;B. Linares-Barranco

  • AER image filtering architecture for vision-processing systems

    T. Serrano-Gotarredona;A.G. Andreou;B. Linares-Barranco

  • AER Building Blocks for Multi-Layer Multi-Chip Neuromorphic Vision Systems

    R. Serrano-Gotarredona;M. Oster;P. Lichtsteiner;A. Linares-Barranco

  • Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations

    Luis A. Camuñas-Mesa;Bernabé Linares-Barranco;Teresa Serrano-Gotarredona

Frequent Co-Authors

Bernabé Linares-Barranco
Bernabé Linares-Barranco University of Seville
Andreas G. Andreou
Andreas G. Andreou Johns Hopkins University
Steve Furber
Steve Furber University of Manchester
Tobi Delbruck
Tobi Delbruck ETH Zurich
Shih-Chii Liu
Shih-Chii Liu University of Zurich
Ryad Benosman
Ryad Benosman University of Pittsburgh
Dominique Vuillaume
Dominique Vuillaume Centre national de la recherche scientifique, CNRS
José L. Huertas
José L. Huertas Spanish National Research Council
Jose Silva-Martinez
Jose Silva-Martinez Texas A&M University
Giacomo Indiveri
Giacomo Indiveri University of Zurich

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