Continual Learning Through Synaptic Intelligence.

421 indexed citations

Abstract

loading...

About

This paper, published in 2017, received 421 indexed citations. Written by Friedemann Zenke, Ben Poole and Surya Ganguli covering the research area of Artificial Intelligence and Electrical and Electronic Engineering. It is primarily cited by scholars working on Artificial Intelligence (350 citations), Computer Vision and Pattern Recognition (213 citations) and Cognitive Neuroscience (52 citations). Published in PubMed.

In The Last Decade

doi.org/w40748536 →

Countries where authors are citing Continual Learning Through Synaptic Intelligence.

Specialization
Citations

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

Fields of papers citing Continual Learning Through Synaptic Intelligence.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Continual Learning Through Synaptic Intelligence.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Continual Learning Through Synaptic Intelligence..

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.

This paper is also available at doi.org/w40748536.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026