Christopher Potts

26.7k citations
118 papers · 10.7k · 5 hit papers · h-index 32

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Sentiment Analysis and Opinion Mining
    • Advanced Text Analysis Techniques
    • Text and Document Classification Technologies
    • Syntax, Semantics, Linguistic Variation
    • Language, Discourse, Communication Strategies

Papers in

Christopher Potts

108 papers receiving 9.7k citations

Christopher Potts's Hit Papers

A large annotated corpus for learning natural language inference 2015 · 1.8k citations
1.8k0+7+14Years since publication10002.0k3.0k

Peers

Christopher Potts
Comparison fields: 5 of 158
  • Artificial Intelligence 8.4k
  • Language and Linguistics 1.4k
  • Computer Vision and Pattern Recognition 1.4k
  • Experimental and Cognitive Psychology 830
  • Linguistics and Language 264
Replace Adam Kilgarriff with:
Adam Kilgarriff United Kingdom
Daniel Jurafsky United States
Ewan Klein United Kingdom
Mark Steedman United Kingdom
James Pustejovsky United States
Dan Jurafsky United States
Marco Baroni Italy
Steven Bird Australia
Julia Hirschberg United States
Christiane Fellbaum United States
Christopher Potts relative to Adam Kilgarriff United Kingdom Adam Kilgarriff's profile →
Citations per field
00.5×4.8×
Adam Kilgarriff · 1×
Citations per year

Countries citing papers authored by Christopher Potts

Since Specialization
Citations

This map shows the geographic impact of Christopher Potts's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christopher Potts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Potts more than expected).

Fields of papers citing papers by Christopher Potts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher Potts. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christopher Potts. The network helps show where Christopher Potts may publish in the future.

Co-authors

The 25 scholars most cited alongside Christopher Potts, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christopher Potts Line = papers co-authored together Christopher Potts links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
Hit paper breakdown →
20133712
2
Learning Word Vectors for Sentiment Analysis
Hit paper breakdown →
20111826
3
A large annotated corpus for learning natural language inference
Hit paper breakdown →
20151791
4
The Logic of Conventional Implicatures
Hit paper breakdown →
2004658
5
The expressive dimension
Hit paper breakdown →
2007357
6 2013215
7 2016143
8 2022123
9 2014117
10 2009101
11
Crowdsourcing and language studies: the new generation of linguistic data
201096
12 201275
13
The Life and Death of Discourse Entities: Identifying Singleton Mentions
201373
14 200271
15 201067
16 201456
17 200754
18 200453
19 200752
20 201749

About Christopher Potts

Christopher Potts is a scholar working on Artificial Intelligence, Language and Linguistics, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Molecular Biology, having authored 118 papers that have together received 10.7k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (59 papers), Topic Modeling (43 papers), Syntax, Semantics, Linguistic Variation (26 papers), Speech and dialogue systems (20 papers), Language, Metaphor, and Cognition (13 papers), Language, Discourse, Communication Strategies (12 papers), Multimodal Machine Learning Applications (11 papers) and Discourse Analysis in Language Studies (6 papers). The work is most often cited by research in Artificial Intelligence (8.4k citations), Language and Linguistics (1.4k citations), Computer Vision and Pattern Recognition (1.4k citations), Experimental and Cognitive Psychology (830 citations) and Linguistics and Language (264 citations). Christopher Potts has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Christopher D. Manning, Andrew Y. Ng, Jean Y. Wu, Richard Socher, Jason Chuang, Samuel R. Bowman, Gabor Angeli, Andrew L. Maas, Dan Huang and Jure Leskovec. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Language, Theoretical Linguistics, Phonology and American Sociological Review.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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