The State and Fate of Linguistic Diversity and Inclusion in the NLP World
2020 • 1498 Citations
Published in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020)
Monojit Choudhury
Monojit Choudhury is a researcher affiliated with Professor of Natural Language Processing, MBZUAI, specializing in AI & Machine Learning. Their work has been cited 7,809 times. This profile visualizes their global influence, highlighting strong citation networks in US.
AI & Machine Learning
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0i10-index
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Professor of Natural Language Processing, MBZUAI•
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Monojit Choudhury's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 7,809
- Citing Countries
- 4
As of April 2026.
Monojit Choudhury has an h-index of 1 and 7,809 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)
United States(US)
48Japan(JP)
3Switzerland(CH)
1United States(US)
1Top Citing Institutions(Limited)
Stanford University
48Kitami Institute of Technology
3ETH Zurich
1University of California, Santa Barbara
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 (53 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
Yuta Koreeda
7.0Stanford University
United States· Cited your work 1 time
IndependentTop institution - #2
Tianyi Zhang
7.0Stanford University
United States· Cited your work 1 time
IndependentTop institution - #3
Christopher Ré
8.5Stanford University
USA· Cited your work 1 time
IndependentTop institutionDiversifies geography - #4
Juuso Eronen
8.5Kitami Institute of Technology
Japan· Cited your work 1 time
IndependentTop institutionDiversifies geography - #5
Fumito Masui
8.5Kitami Institute of Technology
Japan· Cited your work 1 time
IndependentTop institutionDiversifies geography - #6
Ce Zhang
8.5ETH Zurich
Switzerland· Cited your work 1 time
IndependentTop institutionDiversifies geography - #7
Vishrav Chaudhary
7.0Stanford University
United States· Cited your work 1 time
IndependentTop institution - #8
Xuechen Li
7.0Stanford University
United States· Cited your work 1 time
IndependentTop institution - #9
Yifan Mai
7.0Stanford University
United States· Cited your work 1 time
IndependentTop institution - #10
Yuhui Zhang
7.0Stanford University
United States· Cited your work 1 time
IndependentTop institution
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.
· cites “The State and Fate of Linguistic Diversity and Inclusion in the NLP World”
Tanjim Mahmud, Michal Ptaszynski, Juuso Eronen, Fumito Masui
Information Processing & Management· cites “The State and Fate of Linguistic Diversity and Inclusion in the NLP World”
Surya Ganguli, Christopher Ré, Percy Liang, Tatsunori Hashimoto + 46 more
Transactions on Machine Learning Research (TMLR)· cites “The State and Fate of Linguistic Diversity and Inclusion in the NLP World”
· cites “The State and Fate of Linguistic Diversity and Inclusion in the NLP World”
· cites “The State and Fate of Linguistic Diversity and Inclusion in the NLP World”
Top Cited Works(Showing 1 of 1)
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Citation Trend (Last 10 Years)
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