Simonetta Montemagni⋄
About
In The Last Decade
Simonetta Montemagni⋄
85 papers receiving 798 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 739
- Molecular Biology 123
- Language and Linguistics 114
- Political Science and International Relations 91
- Information Systems 90
Countries citing papers authored by Simonetta Montemagni⋄
This map shows the geographic impact of Simonetta Montemagni⋄'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 Simonetta Montemagni⋄ with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simonetta Montemagni⋄ more than expected).
Fields of papers citing papers by Simonetta Montemagni⋄
This network shows the impact of papers produced by Simonetta Montemagni⋄. 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 Simonetta Montemagni⋄. The network helps show where Simonetta Montemagni⋄ may publish in the future.
Co-authorship network of co-authors of Simonetta Montemagni⋄
This figure shows the co-authorship network connecting the top 25 collaborators of Simonetta Montemagni⋄. A scholar is included among the top collaborators of Simonetta Montemagni⋄ 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 Simonetta Montemagni⋄. Simonetta Montemagni⋄ is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Dangerous Relations in Dependency Treebanks | 1 |
| 2 | 1 | |
| 3 | CItA: an L1 Italian Learners Corpus to Study the Development of Writing Competence. | 5 |
| 4 | Less is More? Towards a Reduced Inventory of Categories for Training a Parser for the Italian Stanford Dependencies | 14 |
| 5 | 1 | |
| 6 | Linguistic Profiling based on General--purpose Features and Native Language Identification | 10 |
| 7 | Unsupervised Linguistically-Driven Reliable Dependency Parses Detection and Self-Training for Adaptation to the Biomedical Domain | 3 |
| 8 | LEXICAL DIFFERENCES BETWEENTUSCAN DIALECTSAND STANDARD ITALIAN:ACCOUNTING FOR GEOGRAPHICAND SOCIODEMOGRAPHIC VARIATION USING GENERALIZEDADDITIVE MIXED MODELING | 1 |
| 9 | ULISSE: an Unsupervised Algorithm for Detecting Reliable Dependency Parses | 7 |
| 10 | Contrastive Filtering of Domain-Specific Multi-Word Terms from Different Types of Corpora | 6 |
| 11 | Unsupervised Acquisition of Verb Subcategorization Frames from Shallow-Parsed Corpora | 7 |
| 12 | Building a Bio-Event Annotated Corpus for the Acquisition of Semantic Frames from Biomedical Corpora | 8 |
| 13 | BioLexicon: Towards a Reference Terminological Resource in the Biomedical Domain | 9 |
| 14 | BioLexicon: A Lexical Resource for the Biology Domain | 26 |
| 15 | Multimedia Information Extraction in Ontology-based Semantic Annotation of Product Catalogues. | 3 |
| 16 | Semantic Mark-up of Italian Legal Texts Through NLP-based Techniques. | 8 |
| 17 | SHALLOW PARSING AND TEXT CHUNKING: A VIEW ON UNDERSPECIFICATION IN SYNTAX | 10 |
| 18 | The Lexicon-Grammar Balance in Robust Parsing of Italian | 4 |
| 19 | Chunking Italian: Linguistic and Task-oriented Evaluation | 6 |
| 20 | Analogy-based learning and Natural Language Processing | 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.