Maria Simi

1.5k total citations
45 papers, 450 citations indexed

About

Maria Simi is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Maria Simi has authored 45 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 5 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Maria Simi's work include Natural Language Processing Techniques (28 papers), Topic Modeling (20 papers) and Semantic Web and Ontologies (10 papers). Maria Simi is often cited by papers focused on Natural Language Processing Techniques (28 papers), Topic Modeling (20 papers) and Semantic Web and Ontologies (10 papers). Maria Simi collaborates with scholars based in Italy, United States and Sweden. Maria Simi's co-authors include Giuseppe Attardi, Simonetta Montemagni⋄, Cristina Bosco, Felice Dell’Orletta⋄, Fabrizio Sebastiani, Antonio Cisternino, Joseph Turian, Atanas Chanev, Carl Hewitt and Massimiliano Ciaramita and has published in prestigious journals such as Lecture notes in computer science, Language Resources and Evaluation and BIT Numerical Mathematics.

In The Last Decade

Maria Simi

43 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Simi Italy 13 396 84 42 28 27 45 450
Hans-Jürgen Profitlich Germany 6 223 0.6× 49 0.6× 50 1.2× 55 2.0× 25 0.9× 11 270
Hans‐Ulrich Krieger Germany 12 504 1.3× 77 0.9× 37 0.9× 27 1.0× 44 1.6× 46 565
Robert Frederking United States 15 539 1.4× 133 1.6× 31 0.7× 51 1.8× 9 0.3× 58 655
Timothy Chklovski United States 14 778 2.0× 87 1.0× 13 0.3× 48 1.7× 16 0.6× 20 845
Harksoo Kim South Korea 12 380 1.0× 122 1.5× 29 0.7× 41 1.5× 7 0.3× 91 474
Yaser Al-Onaizan United States 13 653 1.6× 69 0.8× 27 0.6× 98 3.5× 9 0.3× 28 696
Jussi Kurki Finland 7 204 0.5× 85 1.0× 34 0.8× 23 0.8× 5 0.2× 10 260
Olli Alm Finland 8 216 0.5× 90 1.1× 35 0.8× 26 0.9× 5 0.2× 18 278
Maria Teresa Pazienza Italy 14 583 1.5× 175 2.1× 38 0.9× 18 0.6× 14 0.5× 91 654
Jakub Zavrel Netherlands 12 752 1.9× 78 0.9× 15 0.4× 49 1.8× 25 0.9× 35 802

Countries citing papers authored by Maria Simi

Since Specialization
Citations

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

Fields of papers citing papers by Maria Simi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Simi

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Simi. A scholar is included among the top collaborators of Maria Simi 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 Maria Simi. Maria Simi 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.
Attardi, Giuseppe, et al.. (2020). Linear Neural Parsing and Hybrid Enhancement for Enhanced Universal Dependencies. CINECA IRIS Institutial research information system (University of Pisa). 206–214. 2 indexed citations
2.
Simi, Maria, Cristina Bosco, & Simonetta Montemagni⋄. (2014). Less is More? Towards a Reduced Inventory of Categories for Training a Parser for the Italian Stanford Dependencies. Language Resources and Evaluation. 83–90. 14 indexed citations
3.
Bosco, Cristina, Simonetta Montemagni⋄, & Maria Simi. (2013). Converting Italian Treebanks: Towards an Italian Stanford Dependency Treebank. 1. 61–69. 29 indexed citations
4.
Attardi, Giuseppe, et al.. (2012). Index Expansion for Machine Reading and Question Answering. Lecture notes in computer science. 6 indexed citations
5.
Attardi, Giuseppe, et al.. (2010). TANL-1: Coreference Resolution by Parse Analysis and Similarity Clustering. CINECA IRIS Institutial research information system (University of Pisa). 108–111. 11 indexed citations
6.
Atserias, Jordi, Giuseppe Attardi, Maria Simi, & Hugo Zaragoza. (2010). Active Learning for Building a Corpus of Questions for Parsing. Language Resources and Evaluation. 789–793. 5 indexed citations
7.
Bosco, Cristina, Simonetta Montemagni⋄, Alessandro Mazzei, et al.. (2010). Comparing the Influence of Different Treebank Annotations on Dependency Parsing. Language Resources and Evaluation. 1794–1801. 11 indexed citations
8.
Attardi, Giuseppe, et al.. (2010). A Resource and Tool for Super-sense Tagging of Italian Texts. Language Resources and Evaluation. 2242–2248. 6 indexed citations
9.
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
10.
Attardi, Giuseppe, Felice Dell’Orletta⋄, Maria Simi, Atanas Chanev, & Massimiliano Ciaramita. (2007). Multilingual Dependency Parsing and Domain Adaptation using DeSR. CINECA IRIS Institutial research information system (University of Pisa). 1112–1118. 29 indexed citations
11.
Attardi, Giuseppe & Maria Simi. (2007). DeSR at the Evalita Dependency Parsing Task. CINECA IRIS Institutial research information system (University of Pisa). 4(2). 2 indexed citations
12.
Attardi, Giuseppe & Maria Simi. (2006). Blog Mining Through Opinionated Words. CINECA IRIS Institutial research information system (University of Pisa). 36 indexed citations
13.
Bertagna, Francesca, et al.. (2004). QA at ILC-UniPI: Description of the Prototype.. CLEF (Working Notes). 3 indexed citations
14.
Attardi, Giuseppe, et al.. (2001). PiQASso: Pisa Question Answering system. Text REtrieval Conference. 13(6). 566–607. 32 indexed citations
15.
Sebastiani, Fabrizio, et al.. (2000). Feature Selection and Negative Evidence in Automated Text Categorization. CINECA IRIS Institutial research information system (University of Pisa). 27 indexed citations
16.
Attardi, Giuseppe & Maria Simi. (1991). Reflections about reflection. CINECA IRIS Institutial research information system (University of Pisa). 22–31. 8 indexed citations
17.
Attardi, Giuseppe & Maria Simi. (1984). Metalanguage and Reasoning Across Viewpoints.. European Conference on Artificial Intelligence. 413–422. 16 indexed citations
18.
Simi, Maria, et al.. (1981). Consistency and completeness of Omega, a logic for knowledge representation. International Joint Conference on Artificial Intelligence. 504–510. 20 indexed citations
19.
Hewitt, Carl, Giuseppe Attardi, & Maria Simi. (1980). Knowledge embedding in the description system omega. National Conference on Artificial Intelligence. 157–164. 18 indexed citations
20.
Simi, Maria, et al.. (1978). Testing equality in lisp-like environments. BIT Numerical Mathematics. 18(3). 334–341. 1 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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