Sepp Hochreiter: h-index, Total Citations, and Citation Map
Sepp Hochreiter's h-index is 1 (1 i10-index, 224,431+ total citations across 1+ publications) according to Google Scholar as of June 2026. Sepp Hochreiter is affiliated with Institute for Machine Learning, Johannes Kepler University Linz.
Sepp Hochreiter is a researcher affiliated with Institute for Machine Learning, Johannes Kepler University Linz, specializing in AI & Machine Learning. Their work has been cited 224,431 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Sepp Hochreiter's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 224,431
- Citing Countries
- 5
As of June 2026.
Sepp Hochreiter has an h-index of 1 and 224,431 total citations across 1 publication, with research cited by institutions in 5 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.
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.
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 Sepp Hochreiter's research
Sepp Hochreiter is a researcher in AI & Machine Learning at Institute for Machine Learning, Johannes Kepler University Linz. Their work has been cited 224,431 times across 1 publications, according to Google Scholar.
Their most-cited work, “Long short-term memory” (1997), has accumulated 148,727 citations.
Citations of Sepp Hochreiter's research come primarily from United States, Australia and Bangladesh, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
