Sebastian Ruder Google Scholar: h-index, Total Citations, and Citation Map
Sebastian Ruder's h-index is 1 (1 i10-index, 56,872+ total citations across 1+ publications) according to Google Scholar as of October 2026. Sebastian Ruder is affiliated with Research Scientist, Meta.
Sebastian Ruder is a researcher affiliated with Research Scientist, Meta, specializing in AI & Machine Learning. Their work has been cited 56,872 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Sebastian Ruder's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 56,872
- Citing Countries
- 9
As of October 2026.
Sebastian Ruder has an h-index of 1 and 56,872 total citations across 1 publication, with research cited by institutions in 9 countries.
Global Impact Map
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An overview of gradient descent optimization algorithms
201613,419
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)
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About Sebastian Ruder's research
Sebastian Ruder is a researcher in AI & Machine Learning at Research Scientist, Meta. Their work has been cited 56,872 times across 1 publications, according to Google Scholar.
Their most-cited work, “An overview of gradient descent optimization algorithms” (2016), has accumulated 13,419 citations.
Citations of Sebastian Ruder's research come primarily from United States, Bangladesh and Canada, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
