Greg N. Carlson

6.4k citations
40 papers · 2.3k indexed · h-index 20

Impact in

Papers in

Greg N. Carlson

35 papers receiving 1.9k citations

Peers

Greg N. Carlson
Comparison fields: 5 of 75
  • Language and Linguistics 1.2k
  • Developmental and Educational Psychology 689
  • Experimental and Cognitive Psychology 668
  • Cognitive Neuroscience 824
  • Linguistics and Language 171
Replace Janet Dean Fodor with:
Janet Dean Fodor United States
Bart Geurts Netherlands
David Pesetsky United States
Thomas Wasow United States
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Tanya Reinhart Israel
John Lyons United Kingdom
Gennaro Chierchia United States
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Adriana Belletti Italy
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Citations per field
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Citations per year

Countries citing papers authored by Greg N. Carlson

Since Specialization
Citations

This map shows the geographic impact of Greg N. Carlson'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 Greg N. Carlson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg N. Carlson more than expected).

Fields of papers citing papers by Greg N. Carlson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg N. Carlson. 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 Greg N. Carlson. The network helps show where Greg N. Carlson may publish in the future.

Co-authors

The 16 scholars most cited alongside Greg N. Carlson, 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 Greg N. Carlson Line = papers co-authored together Greg N. Carlson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20131
2 201312
3 201214
4
Reference and Quantification: The Partee Effect
200553
5 19980
6 199716
7
Modification of Event Relations
19936
8 19927
9 1991324
10 199087
11 199063
12 198956
13 198913
14 1989248
15
Processing Deep and Surface Anaphors
19857
16 198396
17 19831
18
Comments on Infinitives
19793
19 197774
20
This Antecedent Isn't the Right One.
19751

About Greg N. Carlson

Greg N. Carlson is a scholar working on Language and Linguistics, Experimental and Cognitive Psychology, Developmental and Educational Psychology, Cognitive Neuroscience and Artificial Intelligence, having authored 40 papers that have together received 2.3k indexed citations. Recurring topics across this work include Syntax, Semantics, Linguistic Variation (11 papers), Natural Language Processing Techniques (9 papers), Neurobiology of Language and Bilingualism (9 papers), Language, Metaphor, and Cognition (8 papers), Linguistics and Discourse Analysis (4 papers), Second Language Acquisition and Learning (4 papers), Semantic Web and Ontologies (3 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Language and Linguistics (1.2k citations), Developmental and Educational Psychology (689 citations), Experimental and Cognitive Psychology (668 citations), Cognitive Neuroscience (824 citations) and Linguistics and Language (171 citations). Greg N. Carlson has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Michael K. Tanenhaus, Julie E. Boland, Susan M. Garnsey, Hana Filip, Craig G. Chambers, John C. Trueswell, Kathleen M. Eberhard, Margery Lucas, Gail Mauner and Francis Jeffry Pelletier. Their work appears in journals such as Language, Linguistics and Philosophy, Journal of Memory and Language, Journal of Psycholinguistic Research and Natural Language Semantics.

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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