Core Metrics
Total Citations
40,131
H-Index
94
Publications
671
i10-Index
372
2-Year Citedness
44.5
avg citations per work
Ability Dimensions
40,131 citations, h=94
2yr mean: 44.5
671 papers (16.0/year)
60 cites/paper
3 unique research topics
4 topic areas
Top 3 papers: 7% 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
Eric Horvitz is a distinguished scholar with 20k+ citations in computational neuroscience, currently affiliated with Microsoft (United States).
Over a 42-year academic career, published 671 papers (averaging 16.0 per year), with 40,131 citations.
An h-index of 94, well above field average, indicates a substantial body of highly-cited work.
Academic impact accumulated gradually: first 5 years account for only 3%, indicating later works are more influential.
Primary research areas include Protein sequencing, Dynamic web page, Perplexity.
Key Findings
Signature Work
"Predicting Depression via Social Media" is the most influential work, with 1,495 citations, published in 2021.
Sustained Impact
Two-year mean citedness of 44.5 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
1984 - 1988
Early Citations
1,208
Early Works
14
Early Impact %
3%
Top Early Career Paper
Decision theory in expert systems and artificial intelligence
Publication Timeline
Research Topics
Top Publications
Predicting Depression via Social Media
1,495
Citations
Sparks of Artificial General Intelligence: Early experiments with GPT-4
1,487
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
高产学者
发表超过671篇论文，产出极为丰富