Abdullah Almaatouq: h-index, Total Citations, and Citation Map
Abdullah Almaatouq's h-index is 20 (25 i10-index, 2,744+ total citations across 5+ publications) according to Google Scholar as of May 2026. Abdullah Almaatouq is affiliated with Massachusetts Institute of Technology.
Abdullah Almaatouq is a researcher affiliated with Massachusetts Institute of Technology, specializing in various fields. Their work has been cited 2,744 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Abdullah Almaatouq's Citation Metrics
Bibliometric impact based on 5 indexed publications. Of these, 4 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 20
- i10-Index
- 25
- Total Citations
- 2,744
- Citing Countries
- 20
As of May 2026.
Abdullah Almaatouq has an h-index of 20 and 2,744 total citations across 5 publications, with research cited by institutions in 20 countries.
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Top Cited Works
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When combinations of humans and AI are useful: A systematic review and meta-analysis
2024641
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.
The researcher advanced collective intelligence theory by demonstrating how adaptive social networks enhance crowd wisdom and extending these insights to integrative experimental design in behavioral sciences.
The researcher pioneered a scientific mass collaboration framework to measure the predictability of life outcomes, establishing a highly cited benchmark for large-scale social science inquiry.
The researcher established a systematic framework for evaluating human-AI collaboration utility through a high-impact meta-analysis published in Nature Human Behaviour.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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