B. Linares-Barranco

12.4k total citations · 2 hit papers
242 papers, 8.6k citations indexed

About

B. Linares-Barranco is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, B. Linares-Barranco has authored 242 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 221 papers in Electrical and Electronic Engineering, 81 papers in Cellular and Molecular Neuroscience and 68 papers in Cognitive Neuroscience. Recurrent topics in B. Linares-Barranco's work include Advanced Memory and Neural Computing (166 papers), CCD and CMOS Imaging Sensors (85 papers) and Neuroscience and Neural Engineering (75 papers). B. Linares-Barranco is often cited by papers focused on Advanced Memory and Neural Computing (166 papers), CCD and CMOS Imaging Sensors (85 papers) and Neuroscience and Neural Engineering (75 papers). B. Linares-Barranco collaborates with scholars based in Spain, United States and France. B. Linares-Barranco's co-authors include Teresa Serrano‐Gotarredona, Giacomo Indiveri, Tobi Delbrück, Luis A. Camuñas-Mesa, Themis Prodromakis, Timothée Masquelier, Carlos Zamarreño-Ramos, E. Sánchez‐Sinencio, J. A. Pérez‐Carrasco and Á. Rodríguez‐Vázquez and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

B. Linares-Barranco

221 papers receiving 8.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Neuromorphic Silicon Neuron Circuits

2011 1.3k citations B. Linares-Barranco, Tobi Delbrück et al. Frontiers in Neuroscience profile →
Integration of nanoscale memristor synapses in neuromorphic computing architectures

2013 464 citations B. Linares-Barranco et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
B. Linares-Barranco Spain	44	7.2k	3.1k	2.9k	1.7k	1.1k	242	8.6k
Gert Cauwenberghs United States	49	6.1k 0.8×	3.5k 1.1×	4.3k 1.5×	2.0k 1.2×	3.2k 2.9×	378	11.7k
Shih‐Chii Liu Switzerland	38	6.4k 0.9×	2.2k 0.7×	3.6k 1.2×	2.2k 1.3×	512 0.5×	161	8.4k
Teresa Serrano‐Gotarredona Spain	34	5.2k 0.7×	2.5k 0.8×	2.2k 0.8×	997 0.6×	563 0.5×	171	6.0k
Giacomo Indiveri Switzerland	47	10.3k 1.4×	5.1k 1.6×	5.4k 1.8×	2.7k 1.6×	648 0.6×	283	11.7k
Kwabena Boahen United States	36	5.3k 0.7×	2.9k 0.9×	3.1k 1.0×	1.3k 0.7×	498 0.5×	110	6.6k
André van Schaik Australia	40	3.1k 0.4×	1.6k 0.5×	2.6k 0.9×	1.5k 0.9×	906 0.8×	242	7.2k
Luping Shi Singapore	34	4.3k 0.6×	1.1k 0.3×	1.4k 0.5×	1.5k 0.9×	495 0.4×	142	5.9k
Abu Sebastian Switzerland	46	10.3k 1.4×	2.2k 0.7×	1.1k 0.4×	2.9k 1.7×	1.1k 1.0×	224	12.7k
Tobi Delbrück Switzerland	53	9.6k 1.3×	3.3k 1.1×	4.2k 1.4×	2.3k 1.3×	915 0.8×	186	12.4k
John V. Arthur United States	21	7.0k 1.0×	2.9k 0.9×	3.1k 1.1×	2.4k 1.4×	219 0.2×	30	7.9k

Countries citing papers authored by B. Linares-Barranco

Since Specialization

Citations

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

Fields of papers citing papers by B. Linares-Barranco

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. Linares-Barranco. 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 B. Linares-Barranco. The network helps show where B. Linares-Barranco may publish in the future.

Co-authorship network of co-authors of B. Linares-Barranco

This figure shows the co-authorship network connecting the top 25 collaborators of B. Linares-Barranco. A scholar is included among the top collaborators of B. Linares-Barranco 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 B. Linares-Barranco. B. Linares-Barranco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Shooshtari, Mostafa, et al.. (2025). Spike-timing-dependent plasticity and synaptic consolidation in Hfo₂ memristors for adaptive neuromorphic computing. Neuromorphic Computing and Engineering. 5(4). 44008–44008. 1 indexed citations

Zhang, Tingting, Andrea Grimaldi, Manuel Jiménez, et al.. (2024). A Review of Ising Machines Implemented in Conventional and Emerging Technologies. IEEE Transactions on Nanotechnology. 23. 704–717. 9 indexed citations

Linares-Barranco, B., et al.. (2024). A 128×128 Electronically Multi-Foveated Dynamic Vision Sensor With Real-Time Resolution Reconfiguration. IEEE Access. 12. 192656–192671.

Linares-Barranco, B., et al.. (2024). A tunable multi-timescale Indium-Gallium-Zinc-Oxide thin-film transistor neuron towards hybrid solutions for spiking neuromorphic applications. SHILAP Revista de lepidopterología. 3(1). 102–102. 5 indexed citations

Camuñas-Mesa, Luis A., et al.. (2024). A Fully Digital Relaxation-Aware Analog Programming Technique for HfOx RRAM Arrays. IEEE Transactions on Circuits & Systems II Express Briefs. 71(8). 3685–3689. 1 indexed citations

Yousefzadeh, Amirreza, et al.. (2024). Co-optimized training of models with synaptic delays for digital neuromorphic accelerators. University of Twente Research Information. 1–5. 4 indexed citations

Linares-Barranco, B., et al.. (2023). Biohybrid restoration of the hippocampal loop re-establishes the non-seizing state in an in vitro model of limbic seizures. Journal of Neural Engineering. 20(4). 46021–46021.

Fiorelli, Rafaella, E. Peralías, Akash Kumar, et al.. (2023). CMOS Front End for Interfacing Spin-Hall Nano-Oscillators for Neuromorphic Computing in the GHz Range. Electronics. 12(1). 230–230.

Martinet, Jean, et al.. (2023). Stakes of neuromorphic foveation: a promising future for embedded event cameras. Biological Cybernetics. 117(4-5). 389–406.

10.

Camuñas-Mesa, Luis A., Elisa Vianello, C. Reita, Teresa Serrano‐Gotarredona, & B. Linares-Barranco. (2022). A CMOL-Like Memristor-CMOS Neuromorphic Chip-Core Demonstrating Stochastic Binary STDP. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 12(4). 898–912. 8 indexed citations

11.

Yang, Shuangming, Jiang Wang, Bin Deng, et al.. (2022). SAM: A Unified Self-Adaptive Multicompartmental Spiking Neuron Model for Learning With Working Memory. Frontiers in Neuroscience. 16. 850945–850945. 62 indexed citations

12.

Amiri, Mahmood, et al.. (2021). A Neuromorphic CMOS Circuit With Self-Repairing Capability. IEEE Transactions on Neural Networks and Learning Systems. 33(5). 2246–2258. 11 indexed citations

13.

Akolkar, Himanshu, et al.. (2021). Neutron-Induced, Single-Event Effects on Neuromorphic Event-Based Vision Sensor: A First Step and Tools to Space Applications. IEEE Access. 9. 85748–85763. 13 indexed citations

14.

Camuñas-Mesa, Luis A., et al.. (2021). Neuromorphic Low-Power Inference on Memristive Crossbars With On-Chip Offset Calibration. IEEE Access. 9. 38043–38061. 13 indexed citations

15.

Camuñas-Mesa, Luis A., B. Linares-Barranco, & Teresa Serrano‐Gotarredona. (2019). Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations. Materials. 12(17). 2745–2745. 83 indexed citations

16.

Camuñas-Mesa, Luis A., Teresa Serrano‐Gotarredona, Sio-Hoï Ieng, Ryad Benosman, & B. Linares-Barranco. (2017). Event-Driven Stereo Visual Tracking Algorithm to Solve Object Occlusion. IEEE Transactions on Neural Networks and Learning Systems. 29(9). 4223–4237. 44 indexed citations

17.

Saïghi, Sylvain, Christian Mayr, Teresa Serrano‐Gotarredona, et al.. (2015). Plasticity in memristive devices for spiking neural networks. Frontiers in Neuroscience. 9. 51–51. 174 indexed citations

18.

Linares-Barranco, B. & Teresa Serrano‐Gotarredona. (2009). Exploiting memristance in adaptive asynchronous spiking neuromorphic nanotechnology systems. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 601–604. 31 indexed citations

19.

Serrano-Gotarredona, R., Matthias Oster, P. Lichtsteiner, et al.. (2005). AER Building Blocks for Multi-Layer Multi-Chip Neuromorphic Vision Systems. idUS (Universidad de Sevilla). 18. 1217–1224. 56 indexed citations

20.

Linares-Barranco, B. & Teresa Serrano‐Gotarredona. (2002). Reliable handling of fempto-ampere currents in standard CMOS. European Solid-State Circuits Conference. 109–112. 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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