Rodrigo Alvarez-Icaza

7.6k total citations · 3 hit papers
11 papers, 5.0k citations indexed

About

Rodrigo Alvarez-Icaza is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rodrigo Alvarez-Icaza has authored 11 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 6 papers in Cognitive Neuroscience and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rodrigo Alvarez-Icaza's work include Advanced Memory and Neural Computing (9 papers), Neural dynamics and brain function (5 papers) and Neuroscience and Neural Engineering (4 papers). Rodrigo Alvarez-Icaza is often cited by papers focused on Advanced Memory and Neural Computing (9 papers), Neural dynamics and brain function (5 papers) and Neuroscience and Neural Engineering (4 papers). Rodrigo Alvarez-Icaza collaborates with scholars based in United States and Japan. Rodrigo Alvarez-Icaza's co-authors include John V. Arthur, Paul Merolla, Andrew S. Cassidy, Dharmendra S. Modha, W. P. Risk, Bryan L. Jackson, Filipp Akopyan, Jun Sawada, Brian Taba and Nabil Imam and has published in prestigious journals such as Science, Proceedings of the IEEE and Biological Cybernetics.

In The Last Decade

Rodrigo Alvarez-Icaza

11 papers receiving 4.9k citations

Hit Papers

A million spiking-neuron integrated circuit with a scalab... 2014 2026 2018 2022 2014 2015 2014 500 1000 1.5k 2.0k 2.5k
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.

  1. A million spiking-neuron integrated circuit with a scalable communication network and interface
    2014 2.8k citations Paul Merolla, John V. Arthur et al. Science profile →
  2. TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip
    2015 1.1k citations Filipp Akopyan, Jun Sawada et al. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems profile →
  3. Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations
    2014 847 citations Ben Varkey Benjamin, Peiran Gao et al. Proceedings of the IEEE profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rodrigo Alvarez-Icaza United States 8 4.6k 1.8k 1.7k 1.6k 211 11 5.0k
Filipp Akopyan United States 8 4.2k 0.9× 1.5k 0.9× 1.6k 0.9× 1.4k 0.9× 199 0.9× 9 4.5k
Nabil Imam United States 10 4.0k 0.9× 1.5k 0.8× 1.5k 0.9× 1.4k 0.8× 199 0.9× 16 4.4k
Steven K. Esser United States 11 3.6k 0.8× 1.6k 0.9× 1.5k 0.9× 1.3k 0.8× 205 1.0× 12 4.4k
Jun Sawada United States 8 3.9k 0.8× 1.3k 0.8× 1.4k 0.8× 1.3k 0.8× 197 0.9× 9 4.2k
Andrew S. Cassidy United States 18 4.8k 1.0× 1.8k 1.0× 1.7k 1.0× 1.7k 1.0× 207 1.0× 40 5.3k
Brian Taba United States 8 4.8k 1.0× 1.8k 1.0× 1.6k 0.9× 1.7k 1.0× 207 1.0× 8 5.3k
Paul Merolla United States 17 5.9k 1.3× 2.3k 1.3× 2.2k 1.3× 2.0k 1.2× 222 1.1× 24 6.4k
Bernard Brezzo United States 9 3.9k 0.8× 1.3k 0.8× 1.4k 0.8× 1.3k 0.8× 201 1.0× 11 4.3k
Rathinakumar Appuswamy United States 8 3.3k 0.7× 1.1k 0.6× 1.2k 0.7× 1.2k 0.7× 192 0.9× 13 3.6k
John V. Arthur United States 21 7.0k 1.5× 3.1k 1.8× 2.9k 1.7× 2.4k 1.5× 273 1.3× 30 7.9k

Countries citing papers authored by Rodrigo Alvarez-Icaza

Since Specialization
Citations

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

Fields of papers citing papers by Rodrigo Alvarez-Icaza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rodrigo Alvarez-Icaza. 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 Rodrigo Alvarez-Icaza. The network helps show where Rodrigo Alvarez-Icaza may publish in the future.

Co-authorship network of co-authors of Rodrigo Alvarez-Icaza

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

All Works

11 of 11 papers shown
1.
Andreou, Andreas G., Guillaume Garreau, Garrick Orchard, et al.. (2016). Real-time sensory information processing using the TrueNorth Neurosynaptic System. 2911–2911. 10 indexed citations
2.
Andreopoulos, Alexander, Rodrigo Alvarez-Icaza, Andrew S. Cassidy, & Myron Flickner. (2016). A low-power neurosynaptic implementation of Local Binary Patterns for texture analysis. 4308–4316. 5 indexed citations
3.
Cassidy, Andrew S., Jun Sawada, Paul Merolla, et al.. (2016). TrueNorth: A High-Performance, Low-Power Neurosynaptic Processor for Multi-Sensory Perception, Action, and Cognition. 12 indexed citations
4.
Akopyan, Filipp, Jun Sawada, Andrew S. Cassidy, et al.. (2015). TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 34(10). 1537–1557. 1064 indexed citations breakdown →
5.
Andreopoulos, Alexander, Brian Taba, Andrew S. Cassidy, et al.. (2015). Visual saliency on networks of neurosynaptic cores. IBM Journal of Research and Development. 59(2/3). 9:1–9:16. 12 indexed citations
6.
Benjamin, Ben Varkey, Peiran Gao, Emmett McQuinn, et al.. (2014). Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations. Proceedings of the IEEE. 102(5). 699–716. 847 indexed citations breakdown →
7.
Merolla, Paul, John V. Arthur, Rodrigo Alvarez-Icaza, et al.. (2014). A million spiking-neuron integrated circuit with a scalable communication network and interface. Science. 345(6197). 668–673. 2780 indexed citations breakdown →
8.
Amir, Arnon, Pallab Datta, W. P. Risk, et al.. (2013). Cognitive computing programming paradigm: A Corelet Language for composing networks of neurosynaptic cores. 1–10. 110 indexed citations
9.
Cassidy, Andrew S., Paul Merolla, John V. Arthur, et al.. (2013). Cognitive computing building block: A versatile and efficient digital neuron model for neurosynaptic cores. 1–10. 171 indexed citations
10.
Alvarez-Icaza, Rodrigo & Kwabena Boahen. (2012). Inferior olive mirrors joint dynamics to implement an inverse controller. Biological Cybernetics. 106(8-9). 429–439. 2 indexed citations
11.
Alvarez-Icaza, Rodrigo & Kwabena Boahen. (2011). Deep cerebellar neurons mirror the spinal cord’s gain to implement an inverse controller. Biological Cybernetics. 105(1). 29–40. 1 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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