Ross Girshick

Ross Girshick is a researcher affiliated with Anthropic, specializing in AI & Machine Learning. Their work has been cited 680,481 times. This profile visualizes their global influence, highlighting strong citation networks in CN.

AI & Machine Learning

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0i10-index

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Anthropic•

Google Scholar

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Ross Girshick's Citation Metrics

Bibliometric impact based on 1 indexed publication.

H-Index: 1
i10-Index: 1
Total Citations: 680,481
Citing Countries: 3

As of April 2026.

Ross Girshick has an h-index of 1 and 680,481 total citations across 1 publication, with research cited by institutions in 3 countries.

Global Impact Map

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

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Top Citing Countries(Limited)

China(CN)

Mexico(MX)

Singapore(SG)

Top Citing Institutions(Limited)

Zhejiang University

Universidad Autónoma de Querétaro

Shannon.AI

Amazon

Instituto Politécnico Nacional

Nanyang Technological 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.

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 3 of 3 countries (12 total citations).

Scholar

Ross Girshick

123

China

Mexico

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
Xiaofei Sun
7.0
Zhejiang University
China· Cited your work 1 time
IndependentTop institution
#2
Linfeng Dong
7.0
Zhejiang University
China· Cited your work 1 time
IndependentTop institution
#3
Tianwei Zhang
8.5
Nanyang Technological University
Singapore· Cited your work 1 time
IndependentTop institutionDiversifies geography
#4
Julio-Alejandro Romero-González
6.5
Universidad Autónoma de Querétaro
Mexico· Cited your work 1 time
IndependentDiversifies geography
#5
Diana-Margarita Córdova-Esparza
6.5
Universidad Autónoma de Querétaro
Mexico· Cited your work 1 time
IndependentDiversifies geography
#6
Shengyu Zhang
7.0
Zhejiang University
China· Cited your work 1 time
IndependentTop institution
#7
Fei Wu
7.0
Zhejiang University
China· Cited your work 1 time
IndependentTop institution
#8
Sen Zhang
7.0
Zhejiang University
China· Cited your work 1 time
IndependentTop institution
#9
Runyi Hu
7.0
Zhejiang University
China· Cited your work 1 time
IndependentTop institution
#10
Xiaoya Li
5.0
Shannon.AI
China· 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 (Microsoft Research). 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 “Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks”
(title pending — citation is still being processed)
· cites “Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks”
Instruction Tuning for Large Language Models: A Survey
Shengyu Zhang, Linfeng Dong, Xiaoya Li, Sen Zhang + 7 more
arXiv preprint· cites “Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks”
(title pending — citation is still being processed)
· cites “Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks”
A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS
Juan Terven, Diana-Margarita Córdova-Esparza, Julio-Alejandro Romero-González
Machine Learning and Knowledge Extraction· cites “Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks”