K Weinberger Google Scholar: h-index, Total Citations, and Citation Map
K Weinberger's h-index is 100 (211 i10-index, 160,288+ total citations across 353+ publications) according to Google Scholar as of October 2026. K Weinberger is affiliated with Cornell University.
K Weinberger is a researcher affiliated with Cornell University, specializing in machine learning, deep learning, metric learning. Their work has been cited 160,288 times. This profile visualizes their global influence, highlighting strong citation networks in China.
K Weinberger's Citation Metrics
Bibliometric impact based on 353 indexed publications.
- H-Index
- 100
- i10-Index
- 211
- Total Citations
- 160,288
- Citing Countries
- 77
As of October 2026.
K Weinberger has an h-index of 100 and 160,288 total citations across 353 publications, with research cited by institutions in 77 countries.
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Global Impact Map
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Densely connected convolutional networks
201765,352
Top Citing Countries
Top Citing Institutions
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Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
5 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed influential methods for measuring semantic similarity in text, progressing from document-level distances to neural evaluation metrics for text generation.
The researcher introduced densely connected convolutional networks, a highly cited architectural innovation that has become a foundational standard in deep learning research.
The researcher developed a kernel-based approach for nonlinear dimensionality reduction, establishing a foundational method for mapping complex data into lower-dimensional spaces while preserving structural relationships.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About K Weinberger's research
K Weinberger is a researcher in machine learning, deep learning and metric learning at Cornell University. Their work has been cited 160,288 times across 353 publications (h-index 100), according to Google Scholar.
Their most-cited work, “Densely connected convolutional networks” (2017), has accumulated 65,352 citations. Other influential works include “On calibration of modern neural networks” (2017) with 12,402 citations and “Bertscore: Evaluating text generation with bert” (2019) with 12,052 citations.
Citations of K Weinberger's research come primarily from China, United States and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
