Giorgio Satta

2.7k total citations
102 papers, 1.4k citations indexed

About

Giorgio Satta is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Giorgio Satta has authored 102 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Artificial Intelligence, 44 papers in Computational Theory and Mathematics and 13 papers in Molecular Biology. Recurrent topics in Giorgio Satta's work include Natural Language Processing Techniques (85 papers), Algorithms and Data Compression (49 papers) and semigroups and automata theory (44 papers). Giorgio Satta is often cited by papers focused on Natural Language Processing Techniques (85 papers), Algorithms and Data Compression (49 papers) and semigroups and automata theory (44 papers). Giorgio Satta collaborates with scholars based in Italy, United States and Sweden. Giorgio Satta's co-authors include Marco Kuhlmann, Mark-Jan Nederhof, Jason Eisner, Carlos Gómez‐Rodríguez, Shay B. Cohen, Ryan McDonald, Aravind K. Joshi, Libin Shen, Robert Frank and Owen Rambow and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Artificial Intelligence and Journal of the ACM.

In The Last Decade

Giorgio Satta

97 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Giorgio Satta Italy 19 1.3k 340 146 81 79 102 1.4k
Yves Schabes United States 20 1.8k 1.3× 311 0.9× 78 0.5× 96 1.2× 76 1.0× 37 1.9k
Gertjan van Noord Netherlands 19 1.1k 0.8× 133 0.4× 40 0.3× 92 1.1× 41 0.5× 94 1.2k
Leon S. Levy United States 11 511 0.4× 239 0.7× 79 0.5× 69 0.9× 19 0.2× 33 692
J. Gerard Wolff United Kingdom 14 328 0.2× 210 0.6× 71 0.5× 70 0.9× 26 0.3× 41 494
Jens Nilsson Sweden 16 2.0k 1.5× 67 0.2× 181 1.2× 176 2.2× 130 1.6× 30 2.2k
Johan Hall Sweden 15 1.8k 1.4× 44 0.1× 139 1.0× 161 2.0× 169 2.1× 31 2.0k
Dan Flickinger United States 25 2.1k 1.6× 41 0.1× 110 0.8× 87 1.1× 84 1.1× 61 2.3k
Laura Kallmeyer Germany 16 660 0.5× 95 0.3× 34 0.2× 38 0.5× 28 0.4× 82 705
David Chiang United States 24 3.9k 3.0× 136 0.4× 310 2.1× 167 2.1× 479 6.1× 95 4.1k
Aarne Ranta Sweden 13 930 0.7× 299 0.9× 31 0.2× 78 1.0× 31 0.4× 75 1.0k

Countries citing papers authored by Giorgio Satta

Since Specialization
Citations

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

Fields of papers citing papers by Giorgio Satta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giorgio Satta

This figure shows the co-authorship network connecting the top 25 collaborators of Giorgio Satta. A scholar is included among the top collaborators of Giorgio Satta 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 Giorgio Satta. Giorgio Satta 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
1.
Satta, Giorgio, et al.. (2013). A Transition-Based Dependency Parser Using a Dynamic Parsing Strategy. Research Padua Archive (University of Padua). 135–144. 18 indexed citations
2.
Cohen, Shay B., Carlos Gómez‐Rodríguez, & Giorgio Satta. (2011). Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing. 12 indexed citations
3.
Cohen, Shay B., Carlos Gómez‐Rodríguez, & Giorgio Satta. (2011). Exact Inference for Generative Probabilistic Non-Projective Dependency Parsing. Edinburgh Research Explorer (University of Edinburgh). 1234–1245. 14 indexed citations
4.
Crescenzi, Pierluigi, Daniel Gildea, Andrea Marino, Gianluca Del Rossi, & Giorgio Satta. (2011). Optimal Head-Driven Parsing Complexity for Linear Context-Free Rewriting Systems. CINECA IRIS Institutial research information system (University of Pisa). 1. 450–459. 4 indexed citations
5.
Nederhof, Mark-Jan & Giorgio Satta. (2011). Computation of Infix Probabilities for Probabilistic Context-Free Grammars. St Andrews Research Repository (St Andrews Research Repository). 1213–1221. 5 indexed citations
6.
Gómez‐Rodríguez, Carlos, Marco Kuhlmann, & Giorgio Satta. (2010). Efficient Parsing of Well-Nested Linear Context-Free Rewriting Systems. North American Chapter of the Association for Computational Linguistics. 276–284. 26 indexed citations
7.
Kuhlmann, Marco, Alexander Koller, & Giorgio Satta. (2010). The Importance of Rule Restrictions in CCG. Meeting of the Association for Computational Linguistics. 534–543. 5 indexed citations
8.
Maletti, Andreas & Giorgio Satta. (2010). Parsing and Translation Algorithms Based on Weighted Extended Tree Transducers. Meeting of the Association for Computational Linguistics. 19–27. 2 indexed citations
9.
Sagot, Benoît & Giorgio Satta. (2010). Optimal Rank Reduction for Linear Context-Free Rewriting Systems with Fan-Out Two. HAL (Le Centre pour la Communication Scientifique Directe). 525–533. 7 indexed citations
10.
Bosco, Cristina, Alessandro Mazzei, Vincenzo Lombardo, et al.. (2008). Comparing Italian parsers on a common treebank: the Evalita experience. Language Resources and Evaluation. 2066–2073. 9 indexed citations
11.
Shen, Libin, Giorgio Satta, & Aravind K. Joshi. (2007). Guided Learning for Bidirectional Sequence Classification. Meeting of the Association for Computational Linguistics. 760–767. 112 indexed citations
12.
Satta, Giorgio. (2004). 42th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Meeting of the Association for Computational Linguistics. 10 indexed citations
13.
Satta, Giorgio. (2004). 20th International Conference on Computational Linguistics, Proceedings of the Conference. Meeting of the Association for Computational Linguistics. 1 indexed citations
14.
Satta, Giorgio & Stuart M. Shieber. (2003). Partially ordered multiset context-free grammars and free-word-order parsing. Data Archiving and Networked Services (DANS). 171–182. 1 indexed citations
15.
Satta, Giorgio & John C. Henderson. (1997). String transformation learning. 444–451. 1 indexed citations
16.
Satta, Giorgio. (1995). The Membership Problem for Unordered Vector Languages.. Research Padua Archive (University of Padua). 267–275. 1 indexed citations
17.
Satta, Giorgio. (1994). Tree-adjoining grammar parsing and boolean matrix multiplication. Computational Linguistics. 20(2). 173–191. 19 indexed citations
18.
Corazza, Anna, Renato De Mori, & Giorgio Satta. (1992). Computation of upper-bounds for stochastic context-free languages. National Conference on Artificial Intelligence. 3(4). 344–349. 1 indexed citations
19.
Satta, Giorgio & Oliviero Stock. (1991). A tabular method for island-driven context-free grammar parsing. Research Padua Archive (University of Padua). 143–148. 2 indexed citations
20.
Satta, Giorgio & Oliviero Stock. (1989). Head-Driven Bidirectional Parsing: A Tabular Method. Research Padua Archive (University of Padua). 43–51. 12 indexed citations

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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