An overview of gradient descent optimization algorithms
2016 • 13419 Citations
Published in arXiv preprint (arXiv:1609.04747)
Sebastian Ruder
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 US.
AI & Machine Learning
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Sebastian Ruder's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 56,872
- Citing Countries
- 1
As of April 2026.
Sebastian Ruder has an h-index of 1 and 56,872 total citations across 1 publication, with research cited by institutions in 1 country.
Global Impact Map
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Top Citing Countries(Limited)
United States(US)
3Top Citing Institutions(Limited)
Princeton University
3Visa 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.
Citer Influence Network
Visa-ready visualisation: each outer ring node is a country citing this scholar. Node size & edge weight scale with citing-paper count. Showing top 1 of 1 countries (3 total citations).
Letter of Support — Candidate Recommenders
Ranked by EB-1A / O-1A relevance: independence from your home institution, affiliation with a top-ranked institution, repeat citations of your work, and recency. Reach out to the highest-scoring candidates to request support letters.
- #1
Yu Meng
7.0Princeton University
United States· Cited your work 1 time
IndependentTop institution - #2
Mengzhou Xia
7.0Princeton University
United States· Cited your work 1 time
IndependentTop institution - #3
Danqi Chen
7.0Princeton University
United States· Cited your work 1 time
IndependentTop institution
Scores combine 5 signals: independence (+3), prestige institution (+2), repeat citations (+2 per paper, cap 5), recent activity (+1), and geography diversity (+1.5). Identity matching uses name + institution; namesakes at the same org are merged.
Cited by 5 papers
· cites “An overview of gradient descent optimization algorithms”
· cites “An overview of gradient descent optimization algorithms”
Yu Meng, Mengzhou Xia, Danqi Chen
Advances in Neural Information Processing Systems 37 (NeurIPS 2024)· cites “An overview of gradient descent optimization algorithms”
· cites “An overview of gradient descent optimization algorithms”
· cites “An overview of gradient descent optimization algorithms”
Top Cited Works(Showing 1 of 1)
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Citation Trend (Last 10 Years)
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