Computer Vision: Algorithms and Applications
2022 • 12049 Citations
Published in Texts in Computer Science
Richard Szeliski
Richard Szeliski is a researcher affiliated with Google DeepMind + CSE, The University of Washington, specializing in AI & Machine Learning. Their work has been cited 116,153 times. This profile visualizes their global influence, highlighting strong citation networks in DE.
AI & Machine Learning
0h-index
0i10-index
0Citations
0Works
0Countries
Google DeepMind + CSE, The University of Washington•
Share:
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.
Richard Szeliski's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 116,153
- Citing Countries
- 4
As of April 2026.
Richard Szeliski has an h-index of 1 and 116,153 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
Loading map
Top Citing Countries(Limited)
Germany(DE)
3United States(US)
2China(CN)
1Czech Republic(CZ)
1Top Citing Institutions(Limited)
University of Tübingen
3Princeton University
2Czech Technical University in Prague
1ShanghaiTech University
1Visa 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 (7 total citations).
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
Sayash Kapoor
8.5Princeton University
USA· Cited your work 1 time
IndependentTop institutionDiversifies geography - #2
Arvind Narayanan
8.5Princeton University
USA· Cited your work 1 time
IndependentTop institutionDiversifies geography - #3
Anpei Chen
5.0University of Tübingen
Germany· Cited your work 1 time
Independent - #4
Zehao Yu
5.0University of Tübingen
Germany· Cited your work 1 time
Independent - #5
Torsten Sattler
6.5Czech Technical University in Prague
Czech Republic· Cited your work 1 time
IndependentDiversifies geography - #6
Binbin Huang
6.5ShanghaiTech University
China· Cited your work 1 time
IndependentDiversifies geography - #7
Andreas Geiger
5.0University of Tübingen
Germany· 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
· cites “Computer Vision: Algorithms and Applications”
· cites “Computer Vision: Algorithms and Applications”
Zehao Yu, Anpei Chen, Binbin Huang, Torsten Sattler + 1 more
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)· cites “Computer Vision: Algorithms and Applications”
Sayash Kapoor, Arvind Narayanan
Patterns· cites “Computer Vision: Algorithms and Applications”
· cites “Computer Vision: Algorithms and Applications”
Top Cited Works(Showing 1 of 1)
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Insufficient data
0 citations
0 citations
0 citations
0 citations
0 citations
0 citations
12,049 citations
0 citations
0 citations
0 citations
0 citations
'16
'18
'20
'22
'24
'26
Related Guides
Learn how to use citation maps for your research and visa applications.