RisingSenior

Greg Wayne

Google (United Kingdom)

OpenAlex

Core Metrics

Total Citations

7,257

H-Index

Publications

i10-Index

2-Year Citedness

42.3

avg citations per work

Ability Dimensions

Overall Score53

Late Bloomer

Impact34%

7,257 citations, h=29

Momentum94%

2yr mean: 42.3

Output17%

60 papers (1.6/year)

Efficiency82%

121 cites/paper

Novelty22%

3 unique research topics

Breadth50%

5 topic areas

Peak Power69%

Top 3 papers: 42% of citations

* Percentile scores are calculated relative to all scholars in the computational neuroscience dataset. Tags are assigned based on dimension combinations. Hover over the radar chart for details.

Scholar Profile Analysis

Greg Wayne is a rising scholar with 5k+ citations in computational neuroscience, currently affiliated with Google (United Kingdom).

Over a 38-year academic career, published 60 papers (averaging 1.6 per year), with 7,257 citations.

Academic impact accumulated gradually: first 5 years account for only 0.2%, indicating later works are more influential.

Primary research areas include Embodied cognition, Embodied cognition, Embodied cognition.

Key Findings

Signature Work

"Hybrid computing using a neural network with dynamic external memory" is the most influential work, with 1,369 citations, published in 2016.

Consistent Output

Averaging 121 citations per paper, maintaining steady high-quality output.

Sustained Impact

Two-year mean citedness of 42.3 indicates research continues to generate significant impact.

Early Career Analysis (First 5 Years)

Career Start

1987 - 1991

Early Citations

Early Works

Early Impact %

0.2%

Top Early Career Paper

Exclusive production of proton-antiproton pairs in two-photon collisions

Publication Timeline

Research Topics

Embodied cognition69.8%

Embodied cognition0%

Embodied cognition61.3%

Recall46.1%

Autoencoder82%

Top Publications

12016• Nature

Hybrid computing using a neural network with dynamic external memory

1,369

Citations

22019• Nature Neuroscience

A deep learning framework for neuroscience

1,018

Citations

32018• Nature

Vector-based navigation using grid-like representations in artificial agents

697

Citations

2016• arXiv (Cornell University)

Towards an integration of deep learning and neuroscience

669

Citations

2017• arXiv (Cornell University)

Emergence of Locomotion Behaviours in Rich Environments

665

Citations

2018• arXiv (Cornell University)

Experience Replay for Continual Learning

375

Citations

2015• arXiv (Cornell University)

Learning continuous control policies by stochastic value gradients

286

Citations

2019• Nature Communications

Hierarchical motor control in mammals and machines

266

Citations

2014• Nature Neuroscience

A temporal basis for predicting the sensory consequences of motor commands in an electric fish

207

Citations

2017• arXiv (Cornell University)

Learning human behaviors from motion capture by adversarial imitation

154

Citations