Juergen Schmidhuber Google Scholar: h-index, Total Citations, and Citation Map
Juergen Schmidhuber's h-index is 136 (492 i10-index, 344,156+ total citations across 807+ publications) according to Google Scholar as of November 2026. Juergen Schmidhuber is affiliated with King Abdullah University of Science and Technology / The Swiss AI Lab, IDSIA / University of Lugano.
Juergen Schmidhuber is a researcher affiliated with King Abdullah University of Science and Technology / The Swiss AI Lab, IDSIA / University of Lugano, specializing in AI & Machine Learning. Their work has been cited 344,156 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Juergen Schmidhuber's Citation Metrics
Bibliometric impact based on 807 indexed publications.
- H-Index
- 136
- i10-Index
- 492
- Total Citations
- 344,156
- Citing Countries
- 87
As of November 2026.
Juergen Schmidhuber has an h-index of 136 and 344,156 total citations across 807 publications, with research cited by institutions in 87 countries.
Global Impact Map
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Long short-term memory
1997148,727
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.
3276 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered computational models for active visual search, evolving from early foveal trajectory generation to broad deep learning frameworks and goal-conditioned policy generation.
The researcher established a foundational framework for online dynamic reinforcement learning in reactive environments, a line of work that has evolved into advanced long-term planning and world modeling architectures.
The researcher established a foundational framework for curious model-building control systems, a line of work that has since evolved into modern model-based generalization in reinforcement learning.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Juergen Schmidhuber's research
Juergen Schmidhuber is a researcher in AI & Machine Learning at King Abdullah University of Science and Technology / The Swiss AI Lab, IDSIA / University of Lugano. Their work has been cited 344,156 times across 807 publications (h-index 136), according to Google Scholar.
Their most-cited work, “Long short-term memory” (1997), has accumulated 148,727 citations. Other influential works include “Deep learning in neural networks: An overview” (2014) with 17,774 citations and “LSTM: A Search Space Odyssey” (2016) with 6,647 citations.
Citations of Juergen Schmidhuber'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.
