Matteo Cremonesi

Matteo Cremonesi is a researcher affiliated with Assistant Professor, Carnegie Mellon University, specializing in AI & Machine Learning. Their work has been cited 108,089 times. This profile visualizes their global influence, highlighting strong citation networks in US.

AI & Machine Learning

0h-index

0i10-index

0Citations

0Works

0Countries

Assistant Professor, Carnegie Mellon University•

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.

Matteo Cremonesi's Citation Metrics

Bibliometric impact based on 1 indexed publication.

H-Index: 1
i10-Index: 1
Total Citations: 108,089
Citing Countries: 6

As of April 2026.

Matteo Cremonesi has an h-index of 1 and 108,089 total citations across 1 publication, with research cited by institutions in 6 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)

Italy(IT)

Czech Republic(CZ)

Switzerland(CH)

France(FR)

Netherlands(NL)

Top Citing Institutions(Limited)

Jefferson Lab

Czech Technical University in Prague

CERN

Duke University

CEA

Temple University

Hampton University & Jefferson Lab

Yerevan Physics Institute

VU Amsterdam & Nikhef

INFN

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 7 of 7 countries (12 total citations).

Scholar

Matteo Cremonesi

127

USA

France

Netherlands

Czech Republic

Italy

Armenia

Switzerland

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
Rabah Abdul Khalek
8.5
VU Amsterdam & Nikhef
Netherlands· Cited your work 1 time
IndependentTop institutionDiversifies geography
#2
Anselm Vossen
7.0
Duke University
USA· Cited your work 1 time
IndependentTop institution
#3
Olga Evdokimov
7.0
University of Illinois at Chicago
USA· Cited your work 1 time
IndependentTop institution
#4
A. Tumasyan
8.5
Yerevan Physics Institute
Armenia· Cited your work 1 time
IndependentTop institutionDiversifies geography
#5
The CMS Collaboration
8.5
CERN
Switzerland· Cited your work 1 time
IndependentTop institutionDiversifies geography
#6
Franck Sabatié
6.5
CEA
France· Cited your work 1 time
IndependentDiversifies geography
#7
Jaroslav Adam
6.5
Czech Technical University in Prague
Czech Republic· Cited your work 1 time
IndependentDiversifies geography
#8
Silvia Dalla Torre
6.5
INFN
Italy· Cited your work 1 time
IndependentDiversifies geography
#9
Daria Akers
5.0
Jefferson Lab
USA· Cited your work 1 time
Independent
#10
Rolf Ent
5.0
Jefferson Lab
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.