MAYANK JINDAL: h-index, Total Citations, and Citation Map
MAYANK JINDAL's h-index is 2 (1 i10-index, 63+ total citations across 7+ publications) according to Google Scholar as of May 2026. MAYANK JINDAL is affiliated with Machine learning engineer/Software Engineer.
MAYANK JINDAL is a researcher affiliated with Machine learning engineer/Software Engineer, specializing in Artificial Intelligence, Software, Machine learning deployment. Their work has been cited 63 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
MAYANK JINDAL's Citation Metrics
Bibliometric impact based on 7 indexed publications. Of these, 6 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 2
- i10-Index
- 1
- Total Citations
- 63
- Citing Countries
- 12
As of May 2026.
MAYANK JINDAL has an h-index of 2 and 63 total citations across 7 publications, with research cited by institutions in 12 countries.
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Global Impact Map
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Top Cited Works
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Cause and effect: Can large language models truly understand causality?
202458
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.
21 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher critically examined whether large language models possess genuine causal understanding, establishing a foundational framework for evaluating causality in AI systems.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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