Mario Šercer: h-index, Total Citations, and Citation Map
Mario Šercer's h-index is 7 (2 i10-index, 119+ total citations across 5+ publications) according to Google Scholar as of May 2026. Mario Šercer is affiliated with Unknown affiliation.
Mario Šercer is a researcher affiliated with Unknown affiliation, specializing in various fields. Their work has been cited 119 times. This profile visualizes their global influence, highlighting strong citation networks in Australia.
Mario Šercer's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 7
- i10-Index
- 2
- Total Citations
- 119
- Citing Countries
- 6
As of May 2026.
Mario Šercer has an h-index of 7 and 119 total citations across 5 publications, with research cited by institutions in 6 countries.
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Global Impact Map
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Top Cited Works
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Dynamics modeling of industrial robotic manipulators: A machine learning approach based on synthetic data
202230
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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.
The researcher developed a machine learning approach using synthetic data to model the dynamics of industrial robotic manipulators, offering a novel alternative to traditional identification methods.
The researcher developed a genetic algorithm-based method for parametrizing PI controllers in DC motor systems, offering an automated optimization approach for control engineering.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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