Core Metrics
Total Citations
15,010
H-Index
43
Publications
263
i10-Index
100
2-Year Citedness
7.6
avg citations per work
Ability Dimensions
15,010 citations, h=43
2yr mean: 7.6
263 papers (13.8/year)
57 cites/paper
2 unique research topics
4 topic areas
Top 3 papers: 54% 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
Claudia Clopath is a established scholar with 10k+ citations in computational neuroscience, currently affiliated with Imperial College London.
Over a 19-year academic career, published 263 papers (averaging 13.8 per year), with 15,010 citations.
An h-index of 43 reflects an active and influential researcher.
Academic impact accumulated gradually: first 5 years account for only 7.9%, indicating later works are more influential.
Primary research areas include Embodied cognition, Embodied cognition, Embodied cognition.
Key Findings
Signature Work
"Overcoming catastrophic forgetting in neural networks" is the most influential work, with 6,331 citations, published in 2017.
Early Career Analysis (First 5 Years)
Career Start
2006 - 2010
Early Citations
1,188
Early Works
8
Early Impact %
7.9%
Top Early Career Paper
Connectivity reflects coding: a model of voltage-based STDP with homeostasis
Publication Timeline
Research Topics
Top Publications
Overcoming catastrophic forgetting in neural networks
6,331
Citations
A deep learning framework for neuroscience
1,018
Citations
Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks
829
Citations
Connectivity reflects coding: a model of voltage-based STDP with homeostasis
615
Citations
The emergence of functional microcircuits in visual cortex
461
Citations
Firing patterns in the adaptive exponential integrate-and-fire model
321
Citations
AI for social good: unlocking the opportunity for positive impact
303
Citations
Catalyzing next-generation Artificial Intelligence through NeuroAI
242
Citations
Supervised learning in spiking neural networks with FORCE training
227
Citations
A triplet spike-timing–dependent plasticity model generalizes the Bienenstock–Cooper–Munro rule to higher-order spatiotemporal correlations
213
Citations
Impact Classification
中高影响力
总引用超过1万次，在特定方向具有显著影响