Ibne Farabi Shihab, PhD: h-index, Total Citations, and Citation Map
Ibne Farabi Shihab, PhD's h-index is 7 (5 i10-index, 161+ total citations across 46+ publications) according to Google Scholar as of May 2026. Ibne Farabi Shihab, PhD is affiliated with Iowa State University.
Ibne Farabi Shihab, PhD is a researcher affiliated with Iowa State University, specializing in Deep Learning, robotics, Large Language Model. Their work has been cited 161 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Ibne Farabi Shihab, PhD's Citation Metrics
Bibliometric impact based on 46 indexed publications. Of these, 18 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 7
- i10-Index
- 5
- Total Citations
- 161
- Citing Countries
- 19
As of May 2026.
Ibne Farabi Shihab, PhD has an h-index of 7 and 161 total citations across 46 publications, with research cited by institutions in 19 countries.
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Top Cited Works
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A machine learning approach to suggest ideal geographical location for new restaurant establishment
201819
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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.
Self-citation 33.3% — above the ~30% level that commonly triggers an RFE.
66 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered machine learning methods for optimal restaurant site selection, later extending these spatial analytics to robust urban sidewalk detection and LLM-based image segmentation for intelligent transportation systems.
The researcher developed evaluator stress tests to detect proxy gaming in reinforcement learning and large language model alignment, establishing a critical diagnostic framework for AI safety.
The researcher developed a neural network-based quantum-driven zero trust architecture with dynamic anomaly detection for 7G technology, establishing a novel security framework for next-generation networks.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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