Martin Riedmiller: h-index, Total Citations, and Citation Map
Martin Riedmiller's h-index is 1 (1 i10-index, 111,194+ total citations across 1+ publications) according to Google Scholar as of June 2026. Martin Riedmiller is affiliated with DeepMind.
Martin Riedmiller is a researcher affiliated with DeepMind, specializing in AI & Machine Learning. Their work has been cited 111,194 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Martin Riedmiller's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 111,194
- Citing Countries
- 9
As of June 2026.
Martin Riedmiller has an h-index of 1 and 111,194 total citations across 1 publication, with research cited by institutions in 9 countries.
Global Impact Map
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Human-level control through deep reinforcement learning
201541,258
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 Martin Riedmiller's research
Martin Riedmiller is a researcher in AI & Machine Learning at DeepMind. Their work has been cited 111,194 times across 1 publications, according to Google Scholar.
Their most-cited work, “Human-level control through deep reinforcement learning” (2015), has accumulated 41,258 citations.
Citations of Martin Riedmiller's research come primarily from China, Germany and Greece, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
