Andrea Cimino
- Communication top 5%
- Artificial Intelligence top 5%
- Natural Language Processing Techniques 5
- Topic Modeling 4
- Sentiment Analysis and Opinion Mining 3
- Authorship Attribution and Profiling 3
- Advanced Text Analysis Techniques 3
- Text Readability and Simplification 3
- Explainable Artificial Intelligence (XAI) 2
- Hate Speech and Cyberbullying Detection 2
- Signal Processing top 10%
- Information Systems top 10%
- Co-authors
- Felice Dell’Orletta⋄Maurizio TesconiMarinella PetrocchiFabio Del VignaStefano CresciGiulia Venturi⋄Fabio CarraraFabrizio Falchi
- Journals
- Electronics (1 paper)World Patent Information (1 paper)INFM-OAR (INFN Catania) (1 paper)
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Andrea Cimino
14 papers receiving 471 citations
Peers
Comparison fields: 5 of 67
- Communication 91
- Artificial Intelligence 410
- Signal Processing 47
- Information Systems 84
- Health Informatics 3
Countries citing papers authored by Andrea Cimino
This map shows the geographic impact of Andrea Cimino'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 Andrea Cimino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Cimino more than expected).
Fields of papers citing papers by Andrea Cimino
This network shows the impact of papers produced by Andrea Cimino. 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 Andrea Cimino. The network helps show where Andrea Cimino may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Andrea Cimino, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 20 | |
| 2 | Extractive Summarization for Explainable Sentiment Analysis using Transformers. | 2021 | 7 |
| 3 | Quanti anni hai? Age Identification for Italian. | 2019 | 2 |
| 4 | 2018 | 6 | |
| 5 | 2018 | 24 | |
| 6 | Multi-Task Learning in Deep Neural Network for Sentiment Polarity and Irony classification. | 2018 | 4 |
| 7 | 2017 | 86 | |
| 8 | Hate Me, Hate Me Not: Hate Speech Detection on Facebook. | 2017 | 227 |
| 9 | 2017 | 13 | |
| 10 | 2016 | 22 | |
| 11 | 2015 | 60 | |
| 12 | 2014 | 19 | |
| 13 | Linguistic Profiling based on General--purpose Features and Native Language Identification | 2013 | 10 |
| 14 | The Saint-John sepulchre at Brindisi (South Italy): Identification and provenance of marbles | 2006 | 1 |
About Andrea Cimino
Andrea Cimino is a scholar working on Artificial Intelligence, Communication and Management of Technology and Innovation, having authored 14 papers that have together received 501 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Authorship Attribution and Profiling (3 papers), Advanced Text Analysis Techniques (3 papers), Text Readability and Simplification (3 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Hate Speech and Cyberbullying Detection (2 papers). The work is most often cited by research in Communication (91 citations), Artificial Intelligence (410 citations) and Signal Processing (47 citations). Andrea Cimino has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Felice Dell’Orletta⋄, Maurizio Tesconi, Marinella Petrocchi, Fabio Del Vigna, Stefano Cresci, Giulia Venturi⋄, Fabio Carrara, Fabrizio Falchi, Lucia Vadicamo and Mario Merone. Their work appears in journals such as Electronics, World Patent Information and INFM-OAR (INFN Catania).
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.