Roger Lévy
About
In The Last Decade
Roger Lévy
134 papers receiving 12.9k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Cognitive Neuroscience 6.4k
- Developmental and Educational Psychology 4.5k
- Artificial Intelligence 3.9k
- Experimental and Cognitive Psychology 3.5k
- Language and Linguistics 2.0k
Countries citing papers authored by Roger Lévy
This map shows the geographic impact of Roger Lévy'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 Roger Lévy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roger Lévy more than expected).
Fields of papers citing papers by Roger Lévy
This network shows the impact of papers produced by Roger Lévy. 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 Roger Lévy. The network helps show where Roger Lévy may publish in the future.
Co-authorship network of co-authors of Roger Lévy
This figure shows the co-authorship network connecting the top 25 collaborators of Roger Lévy. A scholar is included among the top collaborators of Roger Lévy 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 Roger Lévy. Roger Lévy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 10 | |
| 3 | 39 | |
| 4 | Using the Interpolated Maze Task to Assess Incremental Processing in English Relative Clauses | 4 |
| 5 | 18 | |
| 6 | Cloze Distillation Improves Psychometric Predictive Power | 1 |
| 7 | 22 | |
| 8 | 5 | |
| 9 | Data-driven learning of symbolic constraints for a log-linear model in a phonological setting. | 2 |
| 10 | Structure-sensitive Noise Inference: Comprehenders Expect Exchange Errors. | 13 |
| 11 | Why long words take longer to read: the role of uncertainty about word length | 3 |
| 12 | Automated Whole Sentence Grammar Correction Using a Noisy Channel Model | 39 |
| 13 | Integrating surprisal and uncertain-input models in online sentence comprehension: formal techniques and empirical results | 36 |
| 14 | Fixation durations in first-pass reading reflect uncertainty about word identity | 3 |
| 15 | Rational eye movements in reading combining uncertainty about previous words with contextual probability | 8 |
| 16 | Probabilistic Prediction and the Continuity of Language Comprehension | 1 |
| 17 | Modeling the effects of memory on human online sentence processing with particle filters | 58 |
| 18 | A Noisy-Channel Model of Human Sentence Comprehension under Uncertain Input | 15 |
| 19 | Jacques Gernet. La Chine ancienne, des origines à l'Empire | 0 |
| 20 | Jean-Paul Faivre. L'expansion française dans le Pacifique (1800-1842) | 1 |
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.