Tim Salimans Google Scholar: h-index, Total Citations, and Citation Map
Tim Salimans's h-index is 47 (60 i10-index, 126,121+ total citations across 89+ publications) according to Google Scholar as of October 2026. Tim Salimans is affiliated with Google DeepMind Amsterdam.
Tim Salimans is a researcher affiliated with Google DeepMind Amsterdam, specializing in generative models, reinforcement learning, deep learning. Their work has been cited 126,121 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Tim Salimans's Citation Metrics
Bibliometric impact based on 89 indexed publications.
- H-Index
- 47
- i10-Index
- 60
- Total Citations
- 126,121
- Citing Countries
- 82
As of October 2026.
Tim Salimans has an h-index of 47 and 126,121 total citations across 89 publications, with research cited by institutions in 82 countries.
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2019 publication — 24382 citations
201924,382
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Top Citing Institutions
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Tim Salimans's research
Tim Salimans is a researcher in generative models, reinforcement learning and deep learning at Google DeepMind Amsterdam. Their work has been cited 126,121 times across 89 publications (h-index 47), according to Google Scholar.
Their most-cited work, “2019 publication — 24382 citations” (2019), has accumulated 24,382 citations. Other influential works include “Improving language understanding by generative pre-training” (2018) with 20,784 citations and “Improved techniques for training gans” (2016) with 14,146 citations.
Citations of Tim Salimans's research come primarily from United States, China 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.
