Natural Language Semantics

About

The 327 papers published in Natural Language Semantics in the last decades have received a total of 14.1k indexed citations. Papers published in Natural Language Semantics usually cover Language and Linguistics (288 papers), Artificial Intelligence (183 papers) and Philosophy (92 papers) specifically the topics of Syntax, Semantics, Linguistic Variation (279 papers), Natural Language Processing Techniques (135 papers) and Linguistics and Discourse Analysis (78 papers). The most active scholars publishing in Natural Language Semantics are Mats Rooth, Gennaro Chierchia, Roger Schwarzschild, Sigrid Beck, Thomas Ede Zimmermann, Danny Fox, Paul Pörtner, Lisa Matthewson, Fred Landman and Philippe Schlenker.

In The Last Decade

Natural Language Semantics

306 papers receiving 11.2k citations

Countries where authors publish in Natural Language Semantics

Since Specialization
Citations

This map shows the geographic impact of research published in Natural Language Semantics. 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 papers published in Natural Language Semantics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natural Language Semantics more than expected).

Fields of papers published in Natural Language Semantics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Natural Language Semantics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in 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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