Core Metrics
Total Citations
31,962
H-Index
77
Publications
443
i10-Index
210
2-Year Citedness
5.5
avg citations per work
Ability Dimensions
31,962 citations, h=77
2yr mean: 5.5
443 papers (12.7/year)
72 cites/paper
4 unique research topics
4 topic areas
Top 3 papers: 9% 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
Wulfram Gerstner is a distinguished scholar with 20k+ citations in computational neuroscience, currently affiliated with École Polytechnique Fédérale de Lausanne.
Over a 35-year academic career, published 443 papers (averaging 12.7 per year), with 31,962 citations.
An h-index of 77, 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 Physics, Psychology, Neuroscience.
Key Findings
Signature Work
"Spiking Neuron Models" is the most influential work, with 2,884 citations, published in 2002.
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
1990 - 1994
Early Citations
1,130
Early Works
18
Early Impact %
3.5%
Top Early Career Paper
Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns
Publication Timeline
Research Topics
Top Publications
Spiking Neuron Models
2,884
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