Damien Ernst: h-index, Total Citations, and Citation Map
Damien Ernst's h-index is 52 (192 i10-index, 26,472+ total citations across 591+ publications) according to Google Scholar as of July 2026. Damien Ernst is affiliated with Professor of Electrical Engineering and Computer Science, ULiège.
Damien Ernst is a researcher affiliated with Professor of Electrical Engineering and Computer Science, ULiège, specializing in Power Systems, Smart Grids, Reinforcement Learning. Their work has been cited 26,472 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Damien Ernst's Citation Metrics
Bibliometric impact based on 591 indexed publications.
- H-Index
- 52
- i10-Index
- 192
- Total Citations
- 26,472
- Citing Countries
- 90
As of July 2026.
Damien Ernst has an h-index of 52 and 26,472 total citations across 591 publications, with research cited by institutions in 90 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Damien Ernst's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
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.
Extremely randomized trees
200612,186
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.
733 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered extremely randomized trees and advanced reinforcement learning applications, establishing foundational methods widely adopted by independent researchers across diverse scientific domains.
The researcher developed a unified framework for transient stability contingency filtering, ranking, and assessment, establishing a foundational methodology for power system security analysis.
The researcher established a foundational reinforcement learning framework for power systems stability control, a seminal contribution that has been widely adopted by the independent academic community.
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 Damien Ernst's research
Damien Ernst is a researcher in Power Systems, Smart Grids and Reinforcement Learning at Professor of Electrical Engineering and Computer Science, ULiège. Their work has been cited 26,472 times across 591 publications (h-index 52), according to Google Scholar.
Their most-cited work, “Extremely randomized trees” (2006), has accumulated 12,186 citations. Other influential works include “Tree-Based Batch Mode Reinforcement Learning” (2005) with 1,730 citations and “Reinforcement learning and dynamic programming using function approximators” (2017) with 1,428 citations.
Citations of Damien Ernst'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.











