Richard Socher: h-index, Total Citations, and Citation Map
Richard Socher's h-index is 113 (239 i10-index, 240,483+ total citations across 338+ publications) according to Google Scholar as of June 2026. Richard Socher is affiliated with you.com.
Richard Socher is a researcher affiliated with you.com, specializing in natural language processing, deep learning, machine learning. Their work has been cited 240,483 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Richard Socher's Citation Metrics
Bibliometric impact based on 338 indexed publications.
- H-Index
- 113
- i10-Index
- 239
- Total Citations
- 240,483
- Citing Countries
- 79
As of June 2026.
Richard Socher has an h-index of 113 and 240,483 total citations across 338 publications, with research cited by institutions in 79 countries.
Global Impact Map
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2009 publication — 94058 citations
200994,058
Top Citing Countries
Top Citing Institutions
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.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
287 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed the GloVe framework for global word vectors and advanced semantic representations using tree-structured LSTM networks, establishing foundational methods in natural language processing.
The researcher published a seminal 2009 paper that established a foundational framework, evidenced by over 94,000 citations and widespread independent adoption.
The researcher introduced Pointer Sentinel Mixture Models, a seminal framework for sequence-to-sequence learning that has become a foundational reference in the field.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Richard Socher's research
Richard Socher is a researcher in natural language processing, deep learning and machine learning at you.com. Their work has been cited 240,483 times across 338 publications (h-index 113), according to Google Scholar.
Their most-cited work, “2009 publication — 94058 citations” (2009), has accumulated 94,058 citations. Other influential works include “GloVe: Global Vectors for Word Representation” (2014) with 50,537 citations and “Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank” (2013) with 11,677 citations.
Citations of Richard Socher's research come primarily from United States, China and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
