Core Metrics
Total Citations
30,751
H-Index
71
Publications
311
i10-Index
130
2-Year Citedness
5.9
avg citations per work
Ability Dimensions
30,751 citations, h=71
2yr mean: 5.9
311 papers (13.0/year)
99 cites/paper
4 unique research topics
4 topic areas
Top 3 papers: 28% 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
Nikolaus Kriegeskorte is a distinguished scholar with 20k+ citations in computational neuroscience, currently affiliated with Brain (Germany).
Over a 24-year academic career, published 311 papers (averaging 13.0 per year), with 30,751 citations.
An h-index of 71, well above field average, indicates a substantial body of highly-cited work.
Academic impact accumulated gradually: first 5 years account for only 3.5%, indicating later works are more influential.
Primary research areas include Algorithm, Engineering, Artificial intelligence.
Key Findings
Signature Work
"Representational similarity analysis – connecting the branches of systems neuroscience" is the most influential work, with 3,612 citations, published in 2008.
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
2001 - 2005
Early Citations
1,073
Early Works
8
Early Impact %
3.5%
Top Early Career Paper
Cortical capacity constraints for visual working memory: dissociation of fMRI load effects in a fronto-parietal network
Publication Timeline
Research Topics
Top Publications
Representational similarity analysis – connecting the branches of systems neuroscience
3,612
Citations
Circular analysis in systems neuroscience: the dangers of double dipping
2,729
Citations
Information-based functional brain mapping
2,254
Citations
Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey
1,439
Citations
Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation
1,318
Citations
Deep Neural Networks: A New Framework for Modeling Biological Vision and Brain Information Processing
1,088
Citations
A deep learning framework for neuroscience
1,018
Citations
A Toolbox for Representational Similarity Analysis
1,010
Citations
Representational geometry: integrating cognition, computation, and the brain
997
Citations
Best practices in data analysis and sharing in neuroimaging using MRI
682
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