Mohit Bansal Google Scholar: h-index, Total Citations, and Citation Map
Mohit Bansal has 47,599+ total citations according to Google Scholar as of November 2026. Mohit Bansal is affiliated with Parker Distinguished Professor, UNC Chapel Hill (PECASE/ACL/AAAI Fellow).
Mohit Bansal is a researcher affiliated with Parker Distinguished Professor, UNC Chapel Hill (PECASE/ACL/AAAI Fellow), specializing in AI & Machine Learning. Their work has been cited 47,599 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Mohit Bansal's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 47,599
- Citing Countries
- 4
As of November 2026.
Mohit Bansal has an h-index of 1 and 47,599 total citations across 1 publication, with research cited by institutions in 4 countries.
Global Impact Map
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LXMERT: Learning Cross-Modality Encoder Representations from Transformers
20193,690
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.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Mohit Bansal's research
Mohit Bansal is a researcher in AI & Machine Learning at Parker Distinguished Professor, UNC Chapel Hill (PECASE/ACL/AAAI Fellow). Their work has been cited 47,599 times across 1 publication, according to Google Scholar.
Their most-cited work, “LXMERT: Learning Cross-Modality Encoder Representations from Transformers” (2019), has accumulated 3,690 citations.
Citations of Mohit Bansal's research come primarily from United States, Canada and India, reflecting international research impact across 4+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
