Xavier Carreras
About
In The Last Decade
Xavier Carreras
52 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 2.4k
- Molecular Biology 282
- Computer Vision and Pattern Recognition 227
- Information Systems 203
- Computational Theory and Mathematics 72
Countries citing papers authored by Xavier Carreras
This map shows the geographic impact of Xavier Carreras'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 Xavier Carreras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xavier Carreras more than expected).
Fields of papers citing papers by Xavier Carreras
This network shows the impact of papers produced by Xavier Carreras. 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 Xavier Carreras. The network helps show where Xavier Carreras may publish in the future.
Co-authorship network of co-authors of Xavier Carreras
This figure shows the co-authorship network connecting the top 25 collaborators of Xavier Carreras. A scholar is included among the top collaborators of Xavier Carreras 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 Xavier Carreras. Xavier Carreras is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A Maximum Matching Algorithm for Basis Selection in Spectral Learning | 2 |
| 2 | Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing | 5 |
| 3 | Spectral Regularization for Max-Margin Sequence Tagging | 7 |
| 4 | Learning Task-specific Bilexical Embeddings | 8 |
| 5 | 8 | |
| 6 | Unsupervised Spectral Learning of Finite State Transducers | 8 |
| 7 | Unsupervised spectral learning of FSTs | 2 |
| 8 | Spectral Learning for Non-Deterministic Dependency Parsing | 17 |
| 9 | 87 | |
| 10 | Simple Semi-supervised Dependency Parsing | 280 |
| 11 | Structured Prediction Models via the Matrix-Tree Theorem | 65 |
| 12 | Experiments with a Higher-Order Projective Dependency Parser | 160 |
| 13 | Hierarchical Recognition of Propositional Arguments with Perceptrons | 19 |
| 14 | Introduction to the CoNLL-2004 Shared Task: Semantic Role Labeling | 282 |
| 15 | FreeLing: An Open-Source Suite of Language Analyzers | 159 |
| 16 | Online Learning via Global Feedback for Phrase Recognition | 9 |
| 17 | Named Entity Recognition For Catalan Using Only Spanish Resources and Unlabelled Data | 2 |
| 18 | A Proposal for Wide--Coverage Spanish Named Entity Recognition | 8 |
| 19 | A Flexible Distributed Architecture for Natural Language Analyzers | 13 |
| 20 | Learning and Inference for Clause Identification | 7 |
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.