Adam Roberts: h-index, Total Citations, and Citation Map
Adam Roberts's h-index is 58 (85 i10-index, 101,868+ total citations across 123+ publications) according to Google Scholar as of July 2026. Adam Roberts is affiliated with Google DeepMind.
Adam Roberts is a researcher affiliated with Google DeepMind, specializing in Machine Learning, Music Generation, Computer Science. Their work has been cited 101,868 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Adam Roberts's Citation Metrics
Bibliometric impact based on 123 indexed publications.
- H-Index
- 58
- i10-Index
- 85
- Total Citations
- 101,868
- Citing Countries
- 18
As of July 2026.
Adam Roberts has an h-index of 58 and 101,868 total citations across 123 publications, with research cited by institutions in 18 countries.
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Global Impact Map
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Exploring the limits of transfer learning with a unified text-to-text transformer
201933,720
Top Citing Countries
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 Adam Roberts's research
Adam Roberts is a researcher in Machine Learning, Music Generation and Computer Science at Google DeepMind. Their work has been cited 101,868 times across 123 publications (h-index 58), according to Google Scholar.
Their most-cited work, “Exploring the limits of transfer learning with a unified text-to-text transformer” (2019), has accumulated 33,720 citations. Other influential works include “Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks” (2012) with 14,082 citations and “Palm: Scaling language modeling with pathways” (2023) with 9,697 citations.
Citations of Adam Roberts's research come primarily from United States, China and Singapore, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
