Anirban Mukherjee: h-index, Total Citations, and Citation Map
Anirban Mukherjee's h-index is 12 (13 i10-index, 524+ total citations across 4+ publications) according to Google Scholar as of May 2026. Anirban Mukherjee is affiliated with Principal at Avyayam Holdings.
Anirban Mukherjee is a researcher affiliated with Principal at Avyayam Holdings, specializing in Artificial Intelligence, Innovation, Law. Their work has been cited 524 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Anirban Mukherjee's Citation Metrics
Bibliometric impact based on 4 indexed publications.
- H-Index
- 12
- i10-Index
- 13
- Total Citations
- 524
- Citing Countries
- 19
As of May 2026.
Anirban Mukherjee has an h-index of 12 and 524 total citations across 4 publications, with research cited by institutions in 19 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Anirban Mukherjee's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Top Cited Works
Tip: clickto hide a row from the map
Modeling Multichannel Home Video Demand in the U.S. Motion Picture Industry
201146
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 developed a foundational model for analyzing multichannel home video demand within the U.S. motion picture industry, published in a top-tier marketing journal.
The researcher established a foundational framework for managing generative AI by analyzing the critical tradeoff between novelty and usefulness in creative outputs.
The researcher established that increasing the number of distinct voices in audio messages enhances persuasion by capturing greater audience attention.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.











