Joäo Graça

985 total citations
24 papers, 579 citations indexed

About

Joäo Graça is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Joäo Graça has authored 24 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 3 papers in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Joäo Graça's work include Topic Modeling (22 papers), Natural Language Processing Techniques (21 papers) and Speech and dialogue systems (5 papers). Joäo Graça is often cited by papers focused on Topic Modeling (22 papers), Natural Language Processing Techniques (21 papers) and Speech and dialogue systems (5 papers). Joäo Graça collaborates with scholars based in Portugal, United States and United Kingdom. Joäo Graça's co-authors include Ben Taskar, Kuzman Ganchev, Jennifer Gillenwater, Shen Li, Fernando Pereira, Luísa Coheur, Isabel Trancoso, Diamantino Caseiro, Phil Blunsom and John Blitzer and has published in prestigious journals such as Journal of Machine Learning Research, Computational Linguistics and Journal of Artificial Intelligence Research.

In The Last Decade

Joäo Graça

24 papers receiving 529 citations

Peers

Joäo Graça
Comparison fields: 5 of 55
  • Artificial Intelligence 541
  • Computer Vision and Pattern Recognition 85
  • Molecular Biology 45
  • Information Systems 41
  • Signal Processing 18
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Citations per field, relative to Joäo Graça
Joäo Graça · 1×
Citations per year, relative to Joäo Graça
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Countries citing papers authored by Joäo Graça

Since Specialization
Citations

This map shows the geographic impact of Joäo Graça'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 Joäo Graça with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joäo Graça more than expected).

Fields of papers citing papers by Joäo Graça

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joäo Graça. 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 Joäo Graça. The network helps show where Joäo Graça may publish in the future.

Co-authorship network of co-authors of Joäo Graça

This figure shows the co-authorship network connecting the top 25 collaborators of Joäo Graça. A scholar is included among the top collaborators of Joäo Graça 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 Joäo Graça. Joäo Graça is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1
Project MAIA: Multilingual AI Agent Assistant
1
2
The PASCAL Challenge on Grammar Induction
14
3
Entropy-based Pruning for Phrase-based Machine Translation
13
4
Wiki-ly Supervised Part-of-Speech Tagging
55
5 21
6
Posterior Sparsity in Unsupervised Dependency Parsing
26
7
Rich Prior Knowledge in Learning for Natural Language Processing
2
8 7
9
Discriminative Phrase-based Lexicalized Reordering Models using Weighted Reordering Graphs
2
10
Reordering Modeling using Weighted Alignment Matrices
1
11
Universal Morphological Analysis using Structured Nearest Neighbor Prediction
6
12
Posterior Sparsity in Dependency Grammar Induction
1
13
Posterior Regularization for Structured Latent Variable Models
254
14
Developing a Deep Linguistic Databank Supporting a Collection of Treebanks: the CINTIL DeepGramBank
9
15
Towards a General and Extensible Phrase-Extraction Algorithm
11
16
Sparsity in Dependency Grammar Induction
39
17 20
18 6
19
Building a Golden Collection of Parallel Multi-Language Word Alignment
25
20
Ontology building process: The wine domain
14

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.

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