Tal Linzen
- Artificial Intelligence top 0.5%
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 5%
- Developmental and Educational Psychology top 5%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Ellie PavlickYoav GoldbergEmmanuel DupouxRebecca MarvinNajoung KimR. Thomas McCoyAlec MarantzMarten van Schijndel
- Topics
- Topic Modeling (41 papers)Natural Language Processing Techniques (41 papers)Neurobiology of Language and Bilingualism (20 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Tal Linzen
68 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 1.7k
- Cognitive Neuroscience 449
- Computer Vision and Pattern Recognition 338
- Developmental and Educational Psychology 226
- Experimental and Cognitive Psychology 202
Countries citing papers authored by Tal Linzen
This map shows the geographic impact of Tal Linzen'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 Tal Linzen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tal Linzen more than expected).
Fields of papers citing papers by Tal Linzen
This network shows the impact of papers produced by Tal Linzen. 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 Tal Linzen. The network helps show where Tal Linzen may publish in the future.
Co-authorship network of co-authors of Tal Linzen
This figure shows the co-authorship network connecting the top 25 collaborators of Tal Linzen. A scholar is included among the top collaborators of Tal Linzen 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 Tal Linzen. Tal Linzen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 23 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 93 | |
| 12 | Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inferencebreakdown → | 471 |
| 13 | 6 | |
| 14 | 67 | |
| 15 | Modeling garden path effects without explicit hierarchical syntax. | 23 |
| 16 | Distinct patterns of syntactic agreement errors in recurrent networks and humans. | 12 |
| 17 | Revisiting the poverty of the stimulus: hierarchical generalization without a hierarchical bias in recurrent neural networks. | 16 |
| 18 | Prediction and uncertainty in an artificial language. | 1 |
| 19 | Syntactic categories as lexical features or syntactic heads: A MEG approach | 4 |
| 20 | 13 |
About Tal Linzen
Tal Linzen is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Developmental and Educational Psychology, having authored 74 papers that have together received 2.1k indexed citations. Recurring topics across this work include Topic Modeling (41 papers), Natural Language Processing Techniques (41 papers) and Neurobiology of Language and Bilingualism (20 papers). The work is most often cited by research in Artificial Intelligence (1.7k citations), Cognitive Neuroscience (449 citations) and Developmental and Educational Psychology (226 citations). Tal Linzen has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Ellie Pavlick, Yoav Goldberg, Emmanuel Dupoux, Rebecca Marvin, Najoung Kim, R. Thomas McCoy, Alec Marantz, Marten van Schijndel, T. Florian Jaeger and David Poeppel. Their work appears in journals such as Nature Communications, Journal of Neuroscience and Journal of Cognitive Neuroscience.
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.