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DistinguishedSenior

Michael J. Frank

Allen Institute for Brain Science

US

Core Metrics

Total Citations

37,805

H-Index

97

Publications

456

i10-Index

217

2-Year Citedness

4.2

avg citations per work

Ability Dimensions

Overall Score47
Impact86%

37,805 citations, h=97

Momentum46%

2yr mean: 4.2

Output83%

456 papers (7.7/year)

Efficiency61%

83 cites/paper

Novelty0%

1 unique research topics

Breadth40%

4 topic areas

Peak Power16%

Top 3 papers: 15% 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

Michael J. Frank is a distinguished scholar with 20k+ citations in computational neuroscience, currently affiliated with Allen Institute for Brain Science.

Over a 59-year academic career, published 456 papers (averaging 7.7 per year), with 37,805 citations.

An h-index of 97, well above field average, indicates a substantial body of highly-cited work.

Academic impact accumulated gradually: first 5 years account for only 0%, indicating later works are more influential.

Primary research areas include Recall, Recall, Recall.

Key Findings

Signature Work

"Frontal theta as a mechanism for cognitive control" is the most influential work, with 2,468 citations, published in 2014.

Sustained Growth

Very low early citation share indicates influence built through long-term accumulation, with later works being more impactful.

Early Career Analysis (First 5 Years)

Career Start

1966 - 1970

Early Citations

4

Early Works

1

Early Impact %

0%

Top Early Career Paper

Schuldscheindarlehen als Mittel der langfristigen Industriefinanzierung

Publication Timeline

Research Topics

Recall47.5%
Recall41.6%
Recall45.5%
Recall21.5%

Top Publications

12014Trends in Cognitive Sciences

Frontal theta as a mechanism for cognitive control

2,468

Citations

22004Science

By Carrot or by Stick: Cognitive Reinforcement Learning in Parkinsonism

1,991

Citations

32007Science

Hold Your Horses: Impulsivity, Deep Brain Stimulation, and Medication in Parkinsonism

1,112

Citations

2005Neural Computation

Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia

1,079

Citations

2016Nature Neuroscience

Computational psychiatry as a bridge from neuroscience to clinical applications

1,013

Citations

2007Journal of Neuroscience

Triangulating a Cognitive Control Network Using Diffusion-Weighted Magnetic Resonance Imaging (MRI) and Functional MRI

984

Citations

2005Journal of Cognitive Neuroscience

Dynamic Dopamine Modulation in the Basal Ganglia: A Neurocomputational Account of Cognitive Deficits in Medicated and Nonmedicated Parkinsonism

938

Citations

2001Cognitive Affective & Behavioral Neuroscience

Interactions between frontal cortex and basal ganglia in working memory: A computational model

905

Citations

2011Nature Neuroscience

From reinforcement learning models to psychiatric and neurological disorders

733

Citations

2007Proceedings of the National Academy of Sciences

Genetic triple dissociation reveals multiple roles for dopamine in reinforcement learning

707

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

稳定产出

h-index超过50,具有持续的学术产出能力