EstablishedEstablished

Daniel Yamins

Neurosciences Institute

ORCID OpenAlex

Core Metrics

Total Citations

12,452

H-Index

Publications

165

i10-Index

2-Year Citedness

4.5

avg citations per work

Ability Dimensions

Overall Score45

Impact45%

12,452 citations, h=36

Momentum49%

2yr mean: 4.5

Output51%

165 papers (7.2/year)

Efficiency53%

75 cites/paper

Novelty5%

2 unique research topics

Breadth40%

4 topic areas

Peak Power71%

Top 3 papers: 43% 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

Daniel Yamins is a established scholar with 10k+ citations in computational neuroscience, currently affiliated with Neurosciences Institute.

Over a 23-year academic career, published 165 papers (averaging 7.2 per year), with 12,452 citations.

An h-index of 36 reflects an active and influential researcher.

Academic impact accumulated gradually: first 5 years account for only 2%, indicating later works are more influential.

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

Key Findings

Signature Work

"Performance-optimized hierarchical models predict neural responses in higher visual cortex" is the most influential work, with 2,020 citations, published in 2014.

Early Career Analysis (First 5 Years)

Career Start

2002 - 2006

Early Citations

255

Early Works

Early Impact %

Top Early Career Paper

Dynamic Task Assignment in Robot Swarms

Publication Timeline

Research Topics

Embodied cognition75.2%

Embodied cognition80.3%

Embodied cognition77.1%

Finance0%

Top Publications

12014• Proceedings of the National Academy of Sciences

Performance-optimized hierarchical models predict neural responses in higher visual cortex

2,020

Citations

22016• Nature Neuroscience

Using goal-driven deep learning models to understand sensory cortex

1,655

Citations

32013• Digital Access to Scholarship at Harvard (DASH) (Harvard University)

Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures

1,644

Citations

2019• Nature Neuroscience

A deep learning framework for neuroscience

1,018

Citations

2014• PLoS Computational Biology

Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition

896

Citations

2018• Neuron

A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses, and Reveals a Cortical Processing Hierarchy

571

Citations

2018• bioRxiv (Cold Spring Harbor Laboratory)

Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like?

478

Citations

Impact Classification

中高影响力

总引用超过1万次，在特定方向具有显著影响