Stage-Level and Individual-Level Predicates
Impact in
Classified as
- Authors
- Angelika Kratzer
- Journal
- Scholarworks (University of Massachusetts Amherst)
In The Last Decade
doi.org/w3020638 →Countries where authors are citing Stage-Level and Individual-Level Predicates
This map shows the geographic impact of Stage-Level and Individual-Level Predicates. 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 Stage-Level and Individual-Level Predicates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stage-Level and Individual-Level Predicates more than expected).
Fields of papers citing Stage-Level and Individual-Level Predicates
This network shows the impact of Stage-Level and Individual-Level Predicates. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Stage-Level and Individual-Level Predicates.
About Stage-Level and Individual-Level Predicates
This paper, published in 1989, received 476 indexed citations . Written by Angelika Kratzer covering the research area of Language and Linguistics and Artificial Intelligence. It is primarily cited by scholars working on Language and Linguistics (408 citations), Artificial Intelligence (209 citations), Experimental and Cognitive Psychology (122 citations), Philosophy (121 citations) and Linguistics and Language (89 citations). Published in Scholarworks (University of Massachusetts Amherst).
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.
This paper is also available at doi.org/w3020638.