Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
2015 • 14521 Citations
Published in Proceedings of the 32nd International Conference on Machine Learning (ICML 2015)
Richard Zemel
Richard Zemel is a researcher affiliated with Professor of Computer Science, University of Toronto, specializing in AI & Machine Learning. Their work has been cited 110,561 times. This profile visualizes their global influence, highlighting strong citation networks in DE.
AI & Machine Learning
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0i10-index
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Professor of Computer Science, University of Toronto•
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Richard Zemel's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 110,561
- Citing Countries
- 4
As of April 2026.
Richard Zemel has an h-index of 1 and 110,561 total citations across 1 publication, with research cited by institutions in 4 countries.
Global Impact Map
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Top Citing Countries(Limited)
Germany(DE)
10United States(US)
4France(FR)
1United States(US)
1Top Citing Institutions(Limited)
LAION
7University of Washington
2LAION; Forschungszentrum Jülich
2Massachusetts Institute of Technology
1University of California, Berkeley
1Michigan State University
1Berlin School of Economics and Law
1IMT Atlantique
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 (16 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
Mitchell Wortsman
7.0University of Washington
USA· Cited your work 1 time
IndependentTop institution - #2
Ludwig Schmidt
7.0University of Washington
USA· Cited your work 1 time
IndependentTop institution - #3
Cade W. Gordon
8.5University of California, Berkeley
United States· Cited your work 1 time
IndependentTop institutionDiversifies geography - #4
Dmitry Ivanov
7.0Berlin School of Economics and Law
Germany· Cited your work 1 time
IndependentTop institution - #5
Clayton Mullis
5.0LAION
Germany· Cited your work 1 time
Independent - #6
Alexandre Dolgui
6.5IMT Atlantique
France· Cited your work 1 time
IndependentDiversifies geography - #7
Jafar Namdar
7.0Michigan State University
USA· Cited your work 1 time
IndependentTop institution - #8
Ilya Jackson
7.0Massachusetts Institute of Technology
USA· Cited your work 1 time
IndependentTop institution - #9
Christoph Schuhmann
5.0LAION
Germany· Cited your work 1 time
Independent - #10
Srivatsa R. Kundurthy
5.0LAION
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 4 papers
4 / 4 independent
Citations flagged as non-independent share the scholar's home institution (University of Toronto). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
· cites “Show, Attend and Tell: Neural Image Caption Generation with Visual Attention”
· cites “Show, Attend and Tell: Neural Image Caption Generation with Visual Attention”
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade W. Gordon + 12 more
36th Conference on Neural Information Processing Systems (NeurIPS 2022)· cites “Show, Attend and Tell: Neural Image Caption Generation with Visual Attention”
Ilya Jackson, Dmitry Ivanov, Alexandre Dolgui, Jafar Namdar
International Journal of Production Research (IJPR)· cites “Show, Attend and Tell: Neural Image Caption Generation with Visual Attention”
Top Cited Works(Showing 1 of 1)
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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