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EmergingSenior

Danijar Hafner

Google (United States)

US

Core Metrics

Total Citations

3,189

H-Index

20

Publications

54

i10-Index

26

2-Year Citedness

22.3

avg citations per work

Ability Dimensions

Overall Score39
Late Bloomer
Impact14%

3,189 citations, h=20

Momentum88%

2yr mean: 22.3

Output13%

54 papers (1.2/year)

Efficiency40%

59 cites/paper

Novelty22%

3 unique research topics

Breadth40%

4 topic areas

Peak Power56%

Top 3 papers: 32% 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

Danijar Hafner is a emerging scholar in computational neuroscience, currently affiliated with Google (United States).

Over a 45-year academic career, published 54 papers (averaging 1.2 per year), with 3,189 citations.

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

Primary research areas include Finance, Finance, Autoencoder.

Key Findings

Signature Work

"A deep learning framework for neuroscience" is the most influential work, with 1,018 citations, published in 2019.

Sustained Impact

Two-year mean citedness of 22.3 indicates research continues to generate significant impact.

Early Career Analysis (First 5 Years)

Career Start

1980 - 1984

Early Citations

6

Early Works

1

Early Impact %

0.2%

Top Early Career Paper

Castlereagh, the Balance of Power, and ‘Non‐Intervention’

Publication Timeline

Research Topics

Finance0%
Finance0%
Autoencoder90.3%
Gene0%

Top Publications

12019Nature Neuroscience

A deep learning framework for neuroscience

1,018

Citations