Tim Salimans Google Scholar: h-index, Total Citations, and Citation Map
Tim Salimans's h-index is 49 (63 i10-index, 126,121+ total citations across 91+ publications) according to Google Scholar as of November 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 91 indexed publications.
- H-Index
- 49
- i10-Index
- 63
- Total Citations
- 126,121
- Citing Countries
- 81
As of November 2026.
Tim Salimans has an h-index of 49 and 126,121 total citations across 91 publications, with research cited by institutions in 81 countries.
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Language models are unsupervised multitask learners
201925,200
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
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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 91 publications (h-index 49), according to Google Scholar.
Their most-cited work, “Language models are unsupervised multitask learners” (2019), has accumulated 25,200 citations. Other influential works include “2019 publication — 24382 citations” (2019) with 24,382 citations and “Improving language understanding by generative pre-training” (2018) with 20,784 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.
