Alberto Lavelli
Impact in
- Health Informatics top 2%
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
- Machine Learning in Healthcare
- Text and Document Classification Technologies
Papers in
-
- Natural Language Processing Techniques 51
- Topic Modeling 51
- Semantic Web and Ontologies 14
- Advanced Text Analysis Techniques 12
- Text and Document Classification Technologies 8
- Speech and dialogue systems 7
- Text Readability and Simplification 6
-
- Biomedical Text Mining and Ontologies 25
- Co-authors
- Ivano Lauriola (5 shared papers)Fabio Aiolli (4 shared papers)Lorenza Romano (7 shared papers)Claudio Giuliano (8 shared papers)Fabio Rinaldi (11 shared papers)Seyedmostafa Sheikhalishahi (2 shared papers)Riccardo Miotto (2 shared papers)Venet Osmani (2 shared papers)
- Journals
- Language Resources and Evaluation (10 papers)Natural Language Engineering (3 papers)Journal of Biomedical Semantics (2 papers)Neurocomputing (1 paper)Electronics (1 paper)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Alberto Lavelli
78 papers receiving 1.7k citations
Alberto Lavelli's Hit Papers
Peers
Comparison fields: 5 of 154
- Health Informatics 61
- Artificial Intelligence 1.2k
- Health Information Management 57
- Toxicology 41
- Information Systems 209
Countries citing papers authored by Alberto Lavelli
This map shows the geographic impact of Alberto Lavelli'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 Alberto Lavelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Lavelli more than expected).
Fields of papers citing papers by Alberto Lavelli
This network shows the impact of papers produced by Alberto Lavelli. 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 Alberto Lavelli. The network helps show where Alberto Lavelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Alberto Lavelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools Hit paper breakdown → | 2021 | 402 |
| 2 | Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Hit paper breakdown → | 2019 | 331 |
| 3 | Exploiting Shallow Linguistic Information for Relation Extraction from Biomedical Literature | 2006 | 197 |
| 4 | FBK-irst : A Multi-Phase Kernel Based Approach for Drug-Drug Interaction Detection and Classification that Exploits Linguistic Information | 2013 | 67 |
| 5 | Investigating a Generic Paraphrase-Based Approach for Relation Extraction | 2006 | 66 |
| 6 | 2015 | 61 | |
| 7 | 2022 | 39 | |
| 8 | 2005 | 37 | |
| 9 | 2018 | 31 | |
| 10 | 2004 | 31 | |
| 11 | Disease Mention Recognition with Specific Features | 2010 | 29 |
| 12 | 2007 | 28 | |
| 13 | 2007 | 24 | |
| 14 | Combining Tree Structures, Flat Features and Patterns for Biomedical Relation Extraction | 2012 | 22 |
| 15 | Exploiting the Scope of Negations and Heterogeneous Features for Relation Extraction: A Case Study for Drug-Drug Interaction Extraction | 2013 | 22 |
| 16 | 2018 | 20 | |
| 17 | 2016 | 20 | |
| 18 | A Study on Dependency Tree Kernels for Automatic Extraction of Protein-Protein Interaction | 2011 | 19 |
| 19 | FACILE: classifying texts integrating pattern matching and information extraction | 1999 | 18 |
| 20 | Extending the coverage of DBpedia properties using distant supervision over Wikipedia | 2013 | 18 |
About Alberto Lavelli
Alberto Lavelli is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Health Information Management and Computational Theory and Mathematics, having authored 86 papers that have together received 1.9k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (51 papers), Topic Modeling (51 papers), Biomedical Text Mining and Ontologies (25 papers), Semantic Web and Ontologies (14 papers), Advanced Text Analysis Techniques (12 papers), Text and Document Classification Technologies (8 papers), Speech and dialogue systems (7 papers) and Text Readability and Simplification (6 papers). The work is most often cited by research in Health Informatics (61 citations), Artificial Intelligence (1.2k citations), Health Information Management (57 citations), Toxicology (41 citations) and Information Systems (209 citations). Alberto Lavelli has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Ivano Lauriola, Fabio Aiolli, Lorenza Romano, Claudio Giuliano, Fabio Rinaldi, Seyedmostafa Sheikhalishahi, Riccardo Miotto, Venet Osmani, Joel T. Dudley and Fabio Ciravegna. Their work appears in journals such as Language Resources and Evaluation, Natural Language Engineering, Journal of Biomedical Semantics, Neurocomputing and Electronics.
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.