Anirban Mukherjee: h-index, Total Citations, and Citation Map

Anirban Mukherjee's h-index is 14 (18 i10-index, 759+ total citations across 89+ publications) according to Google Scholar as of June 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 759 times. This profile visualizes their global influence, highlighting strong citation networks in United States.

Artificial IntelligenceInnovationLawMachine LearningMarketing

14h-index

18i10-index

759Citations

89Works

23Countries

Principal at Avyayam Holdings•

Google Scholar

Data updated 8 days ago

Anirban Mukherjee's Citation Metrics

Bibliometric impact based on 89 indexed publications.

H-Index: 14
i10-Index: 18
Total Citations: 759
Citing Countries: 23

As of June 2026.

Anirban Mukherjee has an h-index of 14 and 759 total citations across 89 publications, with research cited by institutions in 23 countries.

Crawled 55 / 89 publications·154 / 759 citations

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Top Cited Works

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Handbook of the sharing economy

201995

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Top Citing Countries

23 total

United States(US)

United Kingdom(GB)

China(CN)

Australia(AU)

Canada(CA)

Germany(DE)

Austria(AT)

France(FR)

Hong Kong(HK)

India(IN)

Indonesia(ID)

Kuwait(KW)

Poland(PL)

Singapore(SG)

South Korea(KR)

Spain(ES)

Switzerland(CH)

Taiwan(TW)

Turkey(TR)

UAE(AE)

Denmark(DK)

Finland(FI)

Estonia(EE)

Top Citing Institutions

50 total

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University of Oxford

Northwestern University

Macquarie University

Xidian University

University of Granada

University of Ottawa

Institute of Business Management

IT:U Interdisciplinary Transformation University

Singapore National Eye Centre

Aviation Industry Development Research Center of China

University of Calgary

Universitas Muslim Indonesia

University of Leeds

Sookmyung Women's University

Universitas Komputer Indonesia

Prin. L. N. Welingkar Institute of Management Development and Research

Erzincan Binali Yildirim University

Frankfurter Institut für Klinische Krebsforschung IKF

Dayananda Sagar College of Arts Science and Commerce

Kuwait Civil Aviation

VTT Technical Research Centre of Finland

Aarhus University

National Central University

Higher Colleges of Technology

Cornell Tech

University of Tartu

Massachusetts Institute of Technology

The Hong Kong Polytechnic University

Technische Universität Wien

Fordham University

University of Texas at Dallas

Yale University

University of Limoges

Monash University

University of Helsinki

Simon Fraser University

Georgia Institute of Technology

University of Illinois Urbana-Champaign

University of Maryland

Beijing Technology and Business University

Duke University

Northumbria University

Polish Academy of Sciences

TU Wien

ESCP Business School

Byers Eye Institute

Ministry of Health (MOH)

Goethe University Frankfurt

Brock University

Nanjing Audit University

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

EB-1A Report · Free EB-1B Report · Free NIW Report · Free

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.

Citation independence

100% independent25 independent0 self0 co-author0 same-institution

Contribution 1

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.

Core paper

Modeling Multichannel Home Video Demand in the U.S. Motion Picture Industry

2011 · 46 citations

Contribution 2

The researcher established a foundational framework for managing generative AI by analyzing the critical tradeoff between novelty and usefulness in creative outputs.

Core paper

Managing the Creative Frontier of Generative AI: The Novelty-Usefulness Tradeoff

2023 · 46 citations

Contribution 3

The researcher established that increasing the number of distinct voices in audio messages enhances persuasion by capturing greater audience attention.

Core paper

More Voices Persuade: The Attentional Benefits of Voice Numerosity

2023 · 46 citations

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Citation trend (last 10 years)Click to expand