Mohit Bansal: h-index, Total Citations, and Citation Map
Mohit Bansal's h-index is 1 (1 i10-index, 47,599+ total citations across 1+ publications) according to Google Scholar as of June 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
- 3
As of June 2026.
Mohit Bansal has an h-index of 1 and 47,599 total citations across 1 publication, with research cited by institutions in 3 countries.
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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 publications, 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. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
