Vladlen Koltun Google Scholar: h-index, Total Citations, and Citation Map
Vladlen Koltun's h-index is 85 (160 i10-index, 134,205+ total citations across 303+ publications) according to Google Scholar as of October 2026. Vladlen Koltun is affiliated with Distinguished Scientist, Apple.
Vladlen Koltun is a researcher affiliated with Distinguished Scientist, Apple, specializing in AI & Machine Learning. Their work has been cited 134,205 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Vladlen Koltun's Citation Metrics
Bibliometric impact based on 303 indexed publications.
- H-Index
- 85
- i10-Index
- 160
- Total Citations
- 134,205
- Citing Countries
- 83
As of October 2026.
Vladlen Koltun has an h-index of 85 and 134,205 total citations across 303 publications, with research cited by institutions in 83 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Multi-Scale Context Aggregation by Dilated Convolutions
201613,268
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Vladlen Koltun's research
Vladlen Koltun is a researcher in AI & Machine Learning at Distinguished Scientist, Apple. Their work has been cited 134,205 times across 303 publications (h-index 85), according to Google Scholar.
Their most-cited work, “Multi-Scale Context Aggregation by Dilated Convolutions” (2016), has accumulated 13,268 citations. Other influential works include “An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling” (2018) with 4,314 citations and “Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials” (2012) with 2,974 citations.
Citations of Vladlen Koltun'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.
