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EmergingMid-Career

João Sacramento

Independent

ORCIDOpenAlex

Core Metrics

Total Citations

1,665

H-Index

15

Publications

58

i10-Index

19

2-Year Citedness

2.3

avg citations per work

Ability Dimensions

Overall Score35
Landmark Paper
Impact7%

1,665 citations, h=15

Momentum21%

2yr mean: 2.3

Output15%

58 papers (3.9/year)

Efficiency6%

29 cites/paper

Novelty61%

4 unique research topics

Breadth40%

4 topic areas

Peak Power95%

Top 3 papers: 72% 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

João Sacramento is a emerging scholar in computational neuroscience, currently affiliated with Independent Research.

Over a 15-year academic career, published 58 papers (averaging 3.9 per year), with 1,665 citations.

Academic impact accumulated gradually: first 5 years account for only 1.3%, indicating later works are more influential.

Primary research areas include Recall, Modular design, Similarity (geometry).

Key Findings

Signature Work

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

Early Career Analysis (First 5 Years)

Career Start

2010 - 2014

Early Citations

21

Early Works

3

Early Impact %

1.3%

Top Early Career Paper

Tree-like hierarchical associative memory structures

Publication Timeline

Research Topics

Recall55.9%
Modular design85.6%
Similarity (geometry)49%
Gene0%

Top Publications

12019• Nature Neuroscience

A deep learning framework for neuroscience

1,018

Citations

22018• arXiv (Cornell University)

Dendritic cortical microcircuits approximate the backpropagation\n algorithm

93

Citations

32022• arXiv (Cornell University)

Transformers learn in-context by gradient descent

88

Citations

2018• Bern Open Repository and Information System (University of Bern)

Dendritic cortical microcircuits approximate the backpropagation algorithm

68

Citations

2017• arXiv (Cornell University)

Dendritic error backpropagation in deep cortical microcircuits

35

Citations

2018• Scientific Reports

Sensory representation of an auditory cued tactile stimulus in the posterior parietal cortex of the mouse

32

Citations

2020• arXiv (Cornell University)

A Theoretical Framework for Target Propagation

32

Citations

2015• PLoS Computational Biology

Energy Efficient Sparse Connectivity from Imbalanced Synaptic Plasticity Rules

29

Citations

2018• Current Opinion in Neurobiology

Computational roles of plastic probabilistic synapses

25

Citations

2021• Zurich Open Repository and Archive (University of Zurich)

Learning where to learn: Gradient sparsity in meta and continual learning

24

Citations