Filipp Akopyan

9 papers receiving 4.4k citations

Hit Papers

A million spiking-neuron integrated circuit with a scalab...20142026201820222014201550010001.5k2.0k2.5k

Peers

Filipp Akopyan
Comparison fields: 5 of 96
  • Electrical and Electronic Engineering 4.2k
  • Cellular and Molecular Neuroscience 1.6k
  • Cognitive Neuroscience 1.5k
  • Artificial Intelligence 1.4k
  • Polymers and Plastics 199
Replace Nabil Imam with:
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Filipp Akopyan relative to Nabil Imam United States Nabil Imam's profile →
Citations per field
00.5×1.5×
Nabil Imam · 1×
Citations per year

Countries citing papers authored by Filipp Akopyan

Since Specialization
Citations

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

Fields of papers citing papers by Filipp Akopyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filipp Akopyan

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1
TrueNorth: A High-Performance, Low-Power Neurosynaptic Processor for Multi-Sensory Perception, Action, and Cognition
12
2 6
3
TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chipbreakdown →
1064
4
A million spiking-neuron integrated circuit with a scalable communication network and interfacebreakdown →
2780
5 171
6 27
7 27
8 103
9 315

About Filipp Akopyan

Filipp Akopyan is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems, having authored 9 papers that have together received 4.5k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Neural dynamics and brain function (7 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Cognitive Neuroscience (1.5k citations) and Electrical and Electronic Engineering (4.2k citations). Filipp Akopyan has collaborated with scholars based in United States and Japan. Frequent co-authors include John V. Arthur, Paul Merolla, Dharmendra S. Modha, Rajit Manohar, Nabil Imam, Andrew S. Cassidy, W. P. Risk, Jun Sawada, Bryan L. Jackson and Rodrigo Alvarez-Icaza. Their work appears in journals such as Science, Frontiers in Neuroscience and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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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