Aidan Gomez Google Scholar: h-index, Total Citations, and Citation Map
Aidan Gomez's h-index is 51 (64 i10-index, 303,213+ total citations across 79+ publications) according to Google Scholar as of November 2026. Aidan Gomez is affiliated with Cohere.
Aidan Gomez is a researcher affiliated with Cohere, specializing in Artificial Intelligence, Deep Learning. Their work has been cited 303,213 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Aidan Gomez's Citation Metrics
Bibliometric impact based on 79 indexed publications.
- H-Index
- 51
- i10-Index
- 64
- Total Citations
- 303,213
- Citing Countries
- 67
As of November 2026.
Aidan Gomez has an h-index of 51 and 303,213 total citations across 79 publications, with research cited by institutions in 67 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.
Attention is all you need, 2023
2023282,202
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.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
The researcher introduced the Transformer architecture, a foundational model relying solely on attention mechanisms, which has become a seminal contribution to neural network design.
The researcher introduced the Transformer architecture, a foundational attention-based model that replaced recurrence in sequence modeling, as evidenced by the seminal 2017 paper's extensive independent citations.
The researcher introduced the Transformer architecture, establishing attention mechanisms as the foundational component for sequence modeling in neural networks.
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 Aidan Gomez's research
Aidan Gomez is a researcher in Artificial Intelligence and Deep Learning at Cohere. Their work has been cited 303,213 times across 79 publications (h-index 51), according to Google Scholar.
Their most-cited work, “Attention is all you need, 2023” (2023), has accumulated 282,202 citations. Other influential work includes “Attention Is All You Need” (2017) with 252,224 citations.
Citations of Aidan Gomez'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.
