GloVe: Global Vectors for Word Representation
2014 • 50131 Citations
Published in Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP 2014)
Christopher D Manning
Christopher D Manning is a researcher affiliated with Professor of Computer Science and Linguistics, Stanford University, specializing in AI & Machine Learning. Their work has been cited 318,549 times. This profile visualizes their global influence, highlighting strong citation networks in US.
AI & Machine Learning
0h-index
0i10-index
0Citations
0Works
0Countries
Professor of Computer Science and Linguistics, Stanford University•
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.
Christopher D Manning's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 318,549
- Citing Countries
- 5
As of April 2026.
Christopher D Manning has an h-index of 1 and 318,549 total citations across 1 publication, with research cited by institutions in 5 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Marker
Color
Loading map
Top Citing Countries(Limited)
United States(US)
50Switzerland(CH)
2India(IN)
1United States(US)
1Japan(JP)
1Top Citing Institutions(Limited)
Stanford University
43Microsoft Corporation
6ETH Zurich
2University of California, Santa Barbara
1Dr. B. R. Ambedkar National Institute of Technology Jalandhar
1Meta AI
1Hitachi
1Columbia 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 5 of 5 countries (55 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
Binhang Yuan
8.5ETH Zurich
Switzerland· Cited your work 1 time
IndependentTop institutionDiversifies geography - #2
Ce Zhang
8.5ETH Zurich
Switzerland· Cited your work 1 time
IndependentTop institutionDiversifies geography - #3
Faisal Ladhak
7.0Columbia University
United States· Cited your work 1 time
IndependentTop institution - #4
Pranjal Kumar
8.5Dr. B. R. Ambedkar National Institute of Technology Jalandhar
India· Cited your work 1 time
IndependentTop institutionDiversifies geography - #5
Xiaolong Huang
5.0Microsoft Corporation
United States· Cited your work 1 time
Independent - #6
Yuta Koreeda
6.5Hitachi
Japan· Cited your work 1 time
IndependentDiversifies geography - #7
Christopher Ré
5.5Stanford University
USA· Cited your work 1 time
Top institutionDiversifies geography - #8
Liang Wang
5.0Microsoft Corporation
United States· Cited your work 1 time
Independent - #9
Linjun Yang
5.0Microsoft Corporation
United States· Cited your work 1 time
Independent - #10
Rangan Majumder
5.0Microsoft Corporation
United States· 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
4 / 5 independent
Citations flagged as non-independent share the scholar's home institution (Stanford University). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
· cites “GloVe: Global Vectors for Word Representation”
· cites “GloVe: Global Vectors for Word Representation”
Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang + 2 more
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Volume 1: Long Papers· cites “GloVe: Global Vectors for Word Representation”
- Holistic Evaluation of Language ModelsSame institution
Surya Ganguli, Christopher Ré, Percy Liang, Tatsunori Hashimoto + 46 more
Transactions on Machine Learning Research (TMLR)· cites “GloVe: Global Vectors for Word Representation”
Pranjal Kumar
Artificial Intelligence Review· cites “GloVe: Global Vectors for Word Representation”
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
0 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.