Thomas Davenport

Thomas Davenport is a researcher affiliated with Distinguished Professor of IT and Management, Babson College, specializing in AI & Machine Learning. Their work has been cited 179,389 times. This profile visualizes their global influence, highlighting strong citation networks in US.

AI & Machine Learning

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Distinguished Professor of IT and Management, Babson College•

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Thomas Davenport's Citation Metrics

Bibliometric impact based on 1 indexed publication.

H-Index: 1
i10-Index: 1
Total Citations: 179,389
Citing Countries: 1

As of April 2026.

Thomas Davenport has an h-index of 1 and 179,389 total citations across 1 publication, with research cited by institutions in 1 country.

Global Impact Map

Visualizing the geographic distribution of institutions that have cited your work.

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Top Citing Countries(Limited)

United States(US)

Top Citing Institutions(Limited)

University of Nevada, Las Vegas

University of Virginia

Georgia Institute of Technology

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.

Citer Influence Network

Visa-ready visualisation: each outer ring node is a country citing this scholar. Node size & edge weight scale with citing-paper count. Showing top 1 of 1 countries (3 total citations).

Scholar

Thomas Davenport

USA

React Flow

Letter of Support — Candidate Recommenders

Ranked by EB-1A / O-1A relevance: independence from your home institution, affiliation with a top-ranked institution, repeat citations of your work, and recency. Reach out to the highest-scoring candidates to request support letters.

#1
Maryam Alavi
7.0
Georgia Institute of Technology
USA· Cited your work 1 time
IndependentTop institution
#2
Sheng Wang
5.0
University of Nevada, Las Vegas
USA· Cited your work 1 time
Independent
#3
Reza Mousavi
5.0
University of Virginia
USA· Cited your work 1 time
Independent

Scores combine 5 signals: independence (+3), prestige institution (+2), repeat citations (+2 per paper, cap 5), recent activity (+1), and geography diversity (+1.5). Identity matching uses name + institution; namesakes at the same org are merged.

Cited by 5 papers

5 / 5 independent

Citations flagged as non-independent share the scholar's home institution (University of Texas at Austin). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.

(title pending — citation is still being processed)
· cites “Working Knowledge: How Organizations Manage What They Know”
Knowledge sharing: A review and directions for future research
Sheng Wang
Human Resource Management Review· cites “Working Knowledge: How Organizations Manage What They Know”
Knowledge Management Perspective of Generative Artificial Intelligence (GenAI)
Maryam Alavi, Dorothy E. Leidner, Reza Mousavi
Journal of the Association for Information Systems· cites “Working Knowledge: How Organizations Manage What They Know”
(title pending — citation is still being processed)
· cites “Working Knowledge: How Organizations Manage What They Know”
(title pending — citation is still being processed)
· cites “Working Knowledge: How Organizations Manage What They Know”