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DistinguishedSenior

David Marr

Massachusetts Institute of Technology

US

Core Metrics

Total Citations

28,998

H-Index

29

Publications

60

i10-Index

38

2-Year Citedness

0.0

avg citations per work

Ability Dimensions

Overall Score44
Impact50%

28,998 citations, h=29

Momentum0%

Based on publication trend

Output17%

60 papers (1.1/year)

Efficiency98%

483 cites/paper

Novelty61%

4 unique research topics

Breadth50%

5 topic areas

Peak Power35%

Top 3 papers: 21% 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

David Marr is a distinguished scholar with 20k+ citations in computational neuroscience, currently affiliated with Massachusetts Institute of Technology.

Over a 56-year academic career, published 60 papers (averaging 1.1 per year), with 28,998 citations.

Primary research areas include Recall, Spatial frequency, Modular design.

Key Findings

Signature Work

"Theory of edge detection" is the most influential work, with 6,118 citations, published in 1980.

Consistent Output

Averaging 483 citations per paper, maintaining steady high-quality output.

Classic Scholar

Despite lower recent citations, the substantial total citations suggest impact comes primarily from classic works.

Early Career Analysis (First 5 Years)

Career Start

1969 - 1973

Early Citations

6,724

Early Works

8

Early Impact %

23.2%

Top Early Career Paper

A theory of cerebellar cortex

Publication Timeline

Research Topics

Recall57.8%
Spatial frequency49.3%
Modular design64.2%
Motion (physics)55.9%
Motion (physics)58.7%

Top Publications

11980Proceedings of the Royal Society of London. Series B, Biological sciences

Theory of edge detection

6,118

Citations

Impact Classification

高影响力

总引用超过2万次,是领域内公认的重要人物