Jon Gajewski
Impact in
- Language and Linguistics top 1%
- Syntax, Semantics, Linguistic Variation
- Language, Discourse, Communication Strategies
- Linguistics and Language top 5%
- Linguistic Variation and Morphology
Papers in
-
- Syntax, Semantics, Linguistic Variation 9
- linguistics and terminology studies 5
- Lexicography and Language Studies 1
-
- Natural Language Processing Techniques 6
- Co-authors
- Yael Sharvit (3 shared papers)Diane Lillo‐Martin (1 shared paper)Seth Yalcin (1 shared paper)Valentine Hacquard (1 shared paper)Bernhard Nickel (1 shared paper)
- Journals
- Natural Language Semantics (3 papers)Journal of Semantics (1 paper)Linguistic Inquiry (1 paper)Linguistics and Philosophy (1 paper)Wiley Interdisciplinary Reviews Cognitive Science (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Jon Gajewski
17 papers receiving 450 citations
Peers
Comparison fields: 5 of 35
- Language and Linguistics 454
- Linguistics and Language 64
- Experimental and Cognitive Psychology 163
- Philosophy 127
- Artificial Intelligence 197
Countries citing papers authored by Jon Gajewski
This map shows the geographic impact of Jon Gajewski'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 Jon Gajewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Gajewski more than expected).
Fields of papers citing papers by Jon Gajewski
This network shows the impact of papers produced by Jon Gajewski. 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 Jon Gajewski. The network helps show where Jon Gajewski may publish in the future.
Co-authors
The 5 scholars most cited alongside Jon Gajewski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 124 | |
| 2 | Semantic Correlates of the NP/DP Parameter | 2008 | 74 |
| 3 | 2011 | 66 | |
| 4 | 2011 | 48 | |
| 5 | 2013 | 45 | |
| 6 | 2008 | 35 | |
| 7 | 2015 | 31 | |
| 8 | 2008 | 28 | |
| 9 | 2008 | 28 | |
| 10 | 2010 | 14 | |
| 11 | 2008 | 13 | |
| 12 | 2014 | 12 | |
| 13 | New work on modality | 2005 | 11 |
| 14 | New Work on Modality, MIT Working Papers in Linguistics | 2005 | 6 |
| 15 | 2013 | 2 | |
| 16 | 2015 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2015 | 0 |
About Jon Gajewski
Jon Gajewski is a scholar working on Language and Linguistics, Artificial Intelligence, Philosophy, Developmental and Educational Psychology and Computational Theory and Mathematics, having authored 18 papers that have together received 539 indexed citations. Recurring topics across this work include Syntax, Semantics, Linguistic Variation (9 papers), Natural Language Processing Techniques (6 papers), linguistics and terminology studies (5 papers), Advanced Algebra and Logic (3 papers), Linguistics and Discourse Analysis (3 papers), Hearing Impairment and Communication (2 papers), Language, Metaphor, and Cognition (2 papers) and Lexicography and Language Studies (1 paper). The work is most often cited by research in Language and Linguistics (454 citations), Linguistics and Language (64 citations), Experimental and Cognitive Psychology (163 citations), Philosophy (127 citations) and Artificial Intelligence (197 citations). Jon Gajewski has collaborated with scholars based in United States and Japan. Frequent co-authors include Yael Sharvit, Diane Lillo‐Martin, Seth Yalcin, Valentine Hacquard and Bernhard Nickel. Their work appears in journals such as Natural Language Semantics, Journal of Semantics, Linguistic Inquiry, Linguistics and Philosophy and Wiley Interdisciplinary Reviews Cognitive Science.
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.