Andrew McCallum

Andrew McCallum is a researcher affiliated with Distinguished Professor of Computer Science, University of Massachusetts Amherst, specializing in AI & Machine Learning. Their work has been cited 116,273 times. This profile visualizes their global influence, highlighting strong citation networks in US.

AI & Machine Learning

0h-index

0i10-index

0Citations

0Works

0Countries

Distinguished Professor of Computer Science, University of Massachusetts Amherst•

Google Scholar

Unlock Full Map — Elite tier (100K+ citations)

One-time payment. Full data, CSV export, and embed code.

Viewing Limited Data

Showing up to 10 papers and top 10 citing sources. Upgrade to see all 1 paper and complete citation data.

Andrew McCallum's Citation Metrics

Bibliometric impact based on 1 indexed publication.

H-Index: 1
i10-Index: 1
Total Citations: 116,273
Citing Countries: 4

As of April 2026.

Andrew McCallum has an h-index of 1 and 116,273 total citations across 1 publication, with research cited by institutions in 4 countries.

Global Impact Map

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

Marker

Color

Show home

Top Citing Countries(Limited)

United States(US)

China(CN)

Hong Kong(HK)

Singapore(SG)

Top Citing Institutions(Limited)

Carnegie Mellon University

Alibaba Group

The Chinese University of Hong Kong

National University of Singapore

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 4 of 4 countries (11 total citations).

Scholar

Andrew McCallum

114

United States

China

Hong Kong

Singapore

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
Weizhe Yuan
7.0
Carnegie Mellon University
United States· Cited your work 1 time
IndependentTop institution
#2
Hiroaki Hayashi
7.0
Carnegie Mellon University
United States· Cited your work 1 time
IndependentTop institution
#3
Wai Lam
8.5
The Chinese University of Hong Kong
Hong Kong· Cited your work 1 time
IndependentTop institutionDiversifies geography
#4
Yang Deng
8.5
The Chinese University of Hong Kong
Hong Kong· Cited your work 1 time
IndependentTop institutionDiversifies geography
#5
Jinlan Fu
8.5
National University of Singapore
Singapore· Cited your work 1 time
IndependentTop institutionDiversifies geography
#6
Lidong Bing
6.5
Alibaba Group
China· Cited your work 1 time
IndependentDiversifies geography
#7
Wenxuan Zhang
6.5
Alibaba Group
China· Cited your work 1 time
IndependentDiversifies geography
#8
Graham Neubig
7.0
Carnegie Mellon University
United States· Cited your work 1 time
IndependentTop institution
#9
Pengfei Liu
7.0
Carnegie Mellon University
United States· Cited your work 1 time
IndependentTop institution
#10
Zhengbao Jiang
7.0
Carnegie Mellon University
United States· Cited your work 1 time
IndependentTop institution

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.