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Neural Networks and Reservoir Computing

TopicLeading institutions, researchers & key papers

Neural Networks and Reservoir Computing is a topic indexed in ScholarIQ from OpenAlex.

What is known about Neural Networks and Reservoir Computing?

ScholarIQrecord summary

This cluster of papers focuses on the application of photonic reservoir computing for neural computation, machine learning, and information processing. It explores the use of semiconductor lasers, neuromorphic photonics, and optical neural networks, as well as the implementation of echo state networks and nonlinear dynamics in photonic systems.

How many works does Neural Networks and Reservoir Computing have?

ScholarIQindexed works

Neural Networks and Reservoir Computing has 37,153 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

How many citations does Neural Networks and Reservoir Computing have?

ScholarIQcitation count

Neural Networks and Reservoir Computing has 299,828 citations in the OpenAlex counts ScholarIQ stores.

What is the OpenAlex record for Neural Networks and Reservoir Computing?

ScholarIQopenalex

The OpenAlex for Neural Networks and Reservoir Computing is on the source record.

Who are the most-cited researchers behind Neural Networks and Reservoir Computing?

ScholarIQtop researchers by citations
1
Yoshua Bengio · Neural Networks and Applications
1,290 works476,190 citations
2
Valery L. Feigin · Acute Ischemic Stroke Management
642 works335,199 citations
3
Hua Zhang · 2D Materials and Applications
2,601 works193,790 citations
4
Koray Kavukcuoglu · Reinforcement Learning in Robotics
111 works165,806 citations
5
Han Zhang · Advanced Fiber Laser Technologies
3,862 works158,704 citations

Where is Neural Networks and Reservoir Computing research published, and who funds it?

ScholarIQvenues & funding sources

TOP JOURNALS

No journal data available yet.

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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