Piotr Dollár

Piotr Dollár is a researcher affiliated with Thinking Machines, specializing in AI & Machine Learning. Their work has been cited 342,322 times. This profile visualizes their global influence, highlighting strong citation networks in Hong Kong.

AI & Machine Learning

0h-index

0i10-index

0Citations

0Works

0Countries

Thinking Machines•

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Piotr Dollár's Citation Metrics

Bibliometric impact based on 1 indexed publication.

H-Index: 1
i10-Index: 1
Total Citations: 342,322
Citing Countries: 4

As of April 2026.

Piotr Dollár has an h-index of 1 and 342,322 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.

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Top Citing Countries(Limited)

Hong Kong(HK)

China(CN)

India(IN)

United States(US)

Top Citing Institutions(Limited)

University of Hong Kong

VIT-AP University

The University of Hong Kong

TikTok

TikTok / ByteDance

ByteDance

Guangdong University of Finance and Economics

Jinan University

Mississippi State University

Changchun University of Science and 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.

Sustained Acclaim Timeline

Years in which other researchers published work citing this scholar. EB-1A & O-1A petitions use this pattern to evidence sustained recognition.

Years cited: 1
First cited: 2024; Through 2024
Unique citing papers: 3
Last 3 years: 1; Recent activity

2024: 1 paper

'24

This scholar has been cited across 1 consecutive years (2024–2024) by 3 unique papers — evidence of sustained recognition in the field.

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 (22 total citations).

Scholar

Piotr Dollár

224

China

India

Hong Kong

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
Xiaogang Xu
8.0
University of Hong Kong
Hong Kong· Cited your work 1 time· Latest 2024
IndependentTop institutionRecent
#2
Zhen Zhao
8.0
The University of Hong Kong
Hong Kong· Cited your work 1 time· Latest 2024
IndependentTop institutionRecent
#3
Yufei Zhang
8.5
Changchun University of Science and Technology
China· Cited your work 1 time
IndependentTop institutionDiversifies geography
#4
Bingyi Kang
7.5
ByteDance
China· Cited your work 1 time· Latest 2024
IndependentRecentDiversifies geography
#5
Venkata Rami Reddy Ch.
6.5
VIT-AP University
India· Cited your work 1 time
IndependentDiversifies geography
#6
Ch. Venkata Rami Reddy
6.5
VIT-AP University
India· Cited your work 1 time
IndependentDiversifies geography
#7
Milan Deepak Parmar
6.5
Mississippi State University
USA· Cited your work 1 time
IndependentDiversifies geography
#8
Xiaogang Xu
8.0
The University of Hong Kong
Hong Kong· Cited your work 1 time· Latest 2024
IndependentTop institutionRecent
#9
Hengshuang Zhao
8.0
The University of Hong Kong
Hong Kong· Cited your work 1 time· Latest 2024
IndependentTop institutionRecent
#10
Lihe Yang
8.0
University of Hong Kong
Hong Kong· Cited your work 1 time· Latest 2024
IndependentTop institutionRecent

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 (Thinking Machines). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.