Core Metrics
Total Citations
14,300
H-Index
45
Publications
174
i10-Index
76
2-Year Citedness
5.2
avg citations per work
Ability Dimensions
14,300 citations, h=45
2yr mean: 5.2
174 papers (2.0/year)
82 cites/paper
3 unique research topics
5 topic areas
Top 3 papers: 30% 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
Peter E. Latham is a established scholar with 10k+ citations in computational neuroscience, currently affiliated with University College London.
Over a 89-year academic career, published 174 papers (averaging 2.0 per year), with 14,300 citations.
An h-index of 45 reflects an active and influential researcher.
Primary research areas include Bridge (graph theory), Poisson distribution, Poisson distribution.
Key Findings
Signature Work
"Neural correlations, population coding and computation" is the most influential work, with 1,811 citations, published in 2006.
Early Career Analysis (First 5 Years)
Career Start
1936 - 1940
Early Citations
0
Early Works
1
Early Impact %
0%
Top Early Career Paper
Indian Music
Publication Timeline
Research Topics
Top Publications
Neural correlations, population coding and computation
1,811
Citations
Bayesian inference with probabilistic population codes
1,509
Citations
A deep learning framework for neuroscience
1,018
Citations
Optimally Interacting Minds
733
Citations
Probabilistic Population Codes for Bayesian Decision Making
681
Citations
Probabilistic brains: knowns and unknowns
643
Citations
Information-limiting correlations
618
Citations
Sensitivity to perturbations in vivo implies high noise and suggests rate coding in cortex
459
Citations
Reading population codes: a neural implementation of ideal observers
403
Citations
Efficient computation and cue integration with noisy population codes
358
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