Core Metrics
Total Citations
31,679
H-Index
67
Publications
207
i10-Index
112
2-Year Citedness
15.0
avg citations per work
Ability Dimensions
31,679 citations, h=67
2yr mean: 15.0
207 papers (6.1/year)
153 cites/paper
3 unique research topics
5 topic areas
Top 3 papers: 41% 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
James J. DiCarlo is a distinguished scholar with 20k+ citations in computational neuroscience, currently affiliated with McGovern Institute for Brain Research.
Over a 34-year academic career, published 207 papers (averaging 6.1 per year), with 31,679 citations.
An h-index of 67, well above field average, indicates a substantial body of highly-cited work.
Academic impact accumulated gradually: first 5 years account for only 1.2%, indicating later works are more influential.
Primary research areas include Embodied cognition, Embodied cognition, Embodied cognition.
Key Findings
Signature Work
"RNA-Guided Human Genome Engineering via Cas9" is the most influential work, with 9,137 citations, published in 2013.
Consistent Output
Averaging 153 citations per paper, maintaining steady high-quality output.
Sustained Impact
Two-year mean citedness of 15.0 indicates research continues to generate significant impact.
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
1991 - 1995
Early Citations
366
Early Works
5
Early Impact %
1.2%
Top Early Career Paper
Stimulus configuration, classical conditioning, and hippocampal function.
Publication Timeline
Research Topics
Top Publications
RNA-Guided Human Genome Engineering via Cas9
9,137
Citations
Performance-optimized hierarchical models predict neural responses in higher visual cortex
2,020
Citations
How Does the Brain Solve Visual Object Recognition?
1,807
Citations
Using goal-driven deep learning models to understand sensory cortex
1,655
Citations
Genome engineering in Saccharomyces cerevisiae using CRISPR-Cas systems
1,574
Citations
Untangling invariant object recognition
1,011
Citations
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition
896
Citations
Fast Readout of Object Identity from Macaque Inferior Temporal Cortex
879
Citations
Why is Real-World Visual Object Recognition Hard?
546
Citations
Evidence that recurrent circuits are critical to the ventral stream’s execution of core object recognition behavior
486
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