David M. Perlmutter
- Language and Linguistics top 0.5%
- Artificial Intelligence top 5%
- Experimental and Cognitive Psychology top 5%
- Developmental and Educational Psychology top 5%
- Linguistics and Language top 2%
- Co-authors
- John C. MooreCarol PaddenScott SoamesFrank H. NuesselJudith AissenDonna B. GerdtsMaria PolinskyOliver Sacks
- Topics
- Syntax, Semantics, Linguistic Variation (6 papers)Linguistic Variation and Morphology (2 papers)Historical Linguistics and Language Studies (2 papers)
- Partner nations
- United States
In The Last Decade
David M. Perlmutter
16 papers receiving 891 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Language and Linguistics 974
- Artificial Intelligence 365
- Experimental and Cognitive Psychology 336
- Developmental and Educational Psychology 280
- Linguistics and Language 260
Countries citing papers authored by David M. Perlmutter
This map shows the geographic impact of David M. Perlmutter'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 David M. Perlmutter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Perlmutter more than expected).
Fields of papers citing papers by David M. Perlmutter
This network shows the impact of papers produced by David M. Perlmutter. 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 David M. Perlmutter. The network helps show where David M. Perlmutter may publish in the future.
Co-authorship network of co-authors of David M. Perlmutter
This figure shows the co-authorship network connecting the top 25 collaborators of David M. Perlmutter. A scholar is included among the top collaborators of David M. Perlmutter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David M. Perlmutter. David M. Perlmutter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | Hypothesis A/hypothesis B : linguistic explorations in honor of David M. Perlmutter | 39 |
| 3 | 35 | |
| 4 | 70 | |
| 5 | The Language of the Deaf | 10 |
| 6 | 49 | |
| 7 | 96 | |
| 8 | 1 | |
| 9 | 45 | |
| 10 | 40 | |
| 11 | 22 | |
| 12 | Impersonal Passives and the Unaccusative Hypothesis - eScholarship | 1 |
| 13 | Impersonal Passives and the Unaccusative Hypothesisbreakdown → | 659 |
| 14 | 127 | |
| 15 | Syntax und generative Grammatik | 1 |
| 16 | 1 |
About David M. Perlmutter
David M. Perlmutter is a scholar working on Language and Linguistics, Linguistics and Language and Experimental and Cognitive Psychology, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Syntax, Semantics, Linguistic Variation (6 papers), Linguistic Variation and Morphology (2 papers) and Historical Linguistics and Language Studies (2 papers). The work is most often cited by research in Language and Linguistics (974 citations), Linguistics and Language (260 citations) and Experimental and Cognitive Psychology (336 citations). David M. Perlmutter has collaborated with scholars based in United States. Frequent co-authors include John C. Moore, Carol Padden, Scott Soames, Frank H. Nuessel, Judith Aissen, John C. Moore, Donna B. Gerdts, Maria Polinsky, Oliver Sacks and Ferenc Kiefer. Their work appears in journals such as Language, Modern Language Journal and Natural Language & Linguistic Theory.
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.