Athanasios Vasilopoulos

455 citations
11 papers · 275 · 1 hit paper · h-index 6

Impact in

Papers in

Athanasios Vasilopoulos

11 papers receiving 271 citations

Athanasios Vasilopoulos's Hit Papers

A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference 2023 · 205 citations
2050+1+2Years since publication50100150200

Peers

Athanasios Vasilopoulos
Comparison fields: 5 of 31
  • Electrical and Electronic Engineering 225
  • Artificial Intelligence 98
  • Cellular and Molecular Neuroscience 39
  • Hardware and Architecture 14
  • Materials Chemistry 38
Replace Julian Büchel with:
Julian Büchel Switzerland
S. Choi United States
Aihua Chen United States
Brian Crafton United States
Nicola Lepri Italy
Artem Glukhov Italy
Xuan Hu United States
Samuel D. Spetalnick United States
Ping-Chen Huang Taiwan
Yiwei Du China
Athanasios Vasilopoulos relative to Julian Büchel Switzerland Julian Büchel's profile →
Citations per field
00.5×1.5×
Julian Büchel · 1×
Citations per year

Countries citing papers authored by Athanasios Vasilopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Athanasios Vasilopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Athanasios Vasilopoulos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Athanasios Vasilopoulos Line = papers co-authored together Athanasios Vasilopoulos links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference
Hit paper breakdown →
2023205
2 202517
3 202513
4 202311
5 20238
6 20246
7 20255
8 20245
9 20243
10 20251
11 20251

About Athanasios Vasilopoulos

Athanasios Vasilopoulos is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computational Theory and Mathematics, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 11 papers that have together received 275 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (11 papers), Ferroelectric and Negative Capacitance Devices (8 papers), Neural Networks and Reservoir Computing (4 papers), Quantum-Dot Cellular Automata (1 paper), Neuroscience and Neural Engineering (1 paper), Neural dynamics and brain function (1 paper), Analog and Mixed-Signal Circuit Design (1 paper) and CCD and CMOS Imaging Sensors (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (225 citations), Artificial Intelligence (98 citations), Cellular and Molecular Neuroscience (39 citations), Hardware and Architecture (14 citations) and Materials Chemistry (38 citations). Athanasios Vasilopoulos has collaborated with scholars based in Switzerland, United States and Greece. Frequent co-authors include Abu Sebastian, Manuel Le Gallo, Julian Büchel, Corey Lammie, Vijay Narayanan, Benedikt Kersting, Alejandro Linares-Barranco, Abbas Rahimi, Timothy M. Philip and Nicole Saulnier. Their work appears in journals such as Nature Communications, Nature Electronics, Nature Computational Science, Nature Machine Intelligence and IEEE Journal on Emerging and Selected Topics in 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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