Daniel Lassiter
Impact in
- General Decision Sciences top 10%
- Language and Linguistics top 2%
- Syntax, Semantics, Linguistic Variation
- Language, Discourse, Communication Strategies
Papers in
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- Logic, Reasoning, and Knowledge 11
- Natural Language Processing Techniques 9
- Bayesian Modeling and Causal Inference 4
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- Syntax, Semantics, Linguistic Variation 13
- Language, Discourse, Communication Strategies 4
- Co-authors
- Noah D. Goodman (6 shared papers)Christopher Potts (1 shared paper)Michael C. Frank (1 shared paper)Roger Lévy (1 shared paper)Jean Baratgin (2 shared papers)Judith Degen (2 shared papers)Michael Franke (1 shared paper)
- Journals
- Cognitive Science (3 papers)Inquiry (2 papers)Mind & Language (2 papers)Synthese (1 paper)Natural Language Semantics (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Daniel Lassiter
33 papers receiving 404 citations
Peers
Comparison fields: 5 of 41
- General Decision Sciences 34
- Language and Linguistics 183
- Philosophy 128
- Experimental and Cognitive Psychology 130
- Artificial Intelligence 236
Countries citing papers authored by Daniel Lassiter
This map shows the geographic impact of Daniel Lassiter'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 Daniel Lassiter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lassiter more than expected).
Fields of papers citing papers by Daniel Lassiter
This network shows the impact of papers produced by Daniel Lassiter. 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 Daniel Lassiter. The network helps show where Daniel Lassiter may publish in the future.
Co-authors
The 7 scholars most cited alongside Daniel Lassiter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 59 | |
| 2 | 2013 | 50 | |
| 3 | 2010 | 47 | |
| 4 | 2017 | 46 | |
| 5 | 2015 | 45 | |
| 6 | 2016 | 42 | |
| 7 | 2014 | 29 | |
| 8 | 2012 | 23 | |
| 9 | 2008 | 17 | |
| 10 | 2022 | 13 | |
| 11 | 2019 | 10 | |
| 12 | 2017 | 8 | |
| 13 | 2015 | 7 | |
| 14 | 2011 | 7 | |
| 15 | A rational speech-act model of projective content. | 2016 | 6 |
| 16 | 2023 | 6 | |
| 17 | 2015 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2014 | 4 | |
| 20 | 2012 | 4 |
About Daniel Lassiter
Daniel Lassiter is a scholar working on Artificial Intelligence, Language and Linguistics, Philosophy, Experimental and Cognitive Psychology and Computational Theory and Mathematics, having authored 34 papers that have together received 456 indexed citations. Recurring topics across this work include Syntax, Semantics, Linguistic Variation (13 papers), Logic, Reasoning, and Knowledge (11 papers), Natural Language Processing Techniques (9 papers), Epistemology, Ethics, and Metaphysics (7 papers), Advanced Algebra and Logic (5 papers), Philosophy and Theoretical Science (4 papers), Language, Discourse, Communication Strategies (4 papers) and Bayesian Modeling and Causal Inference (4 papers). The work is most often cited by research in General Decision Sciences (34 citations), Language and Linguistics (183 citations), Philosophy (128 citations), Experimental and Cognitive Psychology (130 citations) and Artificial Intelligence (236 citations). Daniel Lassiter has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Noah D. Goodman, Christopher Potts, Michael C. Frank, Roger Lévy, Jean Baratgin, Judith Degen and Michael Franke. Their work appears in journals such as Cognitive Science, Inquiry, Mind & Language, Synthese 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.