Giuseppe Castellucci
- Artificial Intelligence top 5%
- Topic Modeling 18
- Natural Language Processing Techniques 12
- Sentiment Analysis and Opinion Mining 6
- Text and Document Classification Technologies 4
- Advanced Text Analysis Techniques 3
- Domain Adaptation and Few-Shot Learning 3
- Speech and dialogue systems 2
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- Multimodal Machine Learning Applications 6
- Information Systems top 10%
- General Social Sciences top 10%
- Co-authors
- Danilo CroceRoberto BasiliSimone FiliceEmanuele BastianelliOleg RokhlenkoDaniele NardiGiovanni Da San MartinoLuca Iocchi
- Journals
- SHILAP Revista de lepidopterología (1 paper)The International Journal of Robotics Research (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- ItalyUnited StatesQatar
In The Last Decade
Giuseppe Castellucci
21 papers receiving 325 citations
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 289
- Computer Vision and Pattern Recognition 64
- Information Systems 58
- General Social Sciences 7
- Signal Processing 19
Countries citing papers authored by Giuseppe Castellucci
This map shows the geographic impact of Giuseppe Castellucci'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 Giuseppe Castellucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Castellucci more than expected).
Fields of papers citing papers by Giuseppe Castellucci
This network shows the impact of papers produced by Giuseppe Castellucci. 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 Giuseppe Castellucci. The network helps show where Giuseppe Castellucci may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Giuseppe Castellucci, 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 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2021 | 15 | |
| 4 | 2021 | 1 | |
| 5 | 2021 | 3 | |
| 6 | 2020 | 108 | |
| 7 | KELP: a Kernel-based Learning Platform | 2018 | 26 |
| 8 | Transfer learning for industrial applications of named entity recognition | 2018 | 3 |
| 9 | 2017 | 12 | |
| 10 | 2017 | 12 | |
| 11 | 2017 | 8 | |
| 12 | A language independent method for generating large scale polarity lexicons | 2016 | 3 |
| 13 | 2015 | 2 | |
| 14 | 2015 | 32 | |
| 15 | HuRIC: a Human Robot Interaction Corpus | 2014 | 20 |
| 16 | 2014 | 21 | |
| 17 | UNITOR: Combining Syntactic and Semantic Kernels for Twitter Sentiment Analysis | 2013 | 6 |
| 18 | Textual Inference and Meaning Representation in Human Robot Interaction | 2013 | 23 |
| 19 | 2013 | 0 | |
| 20 | 2012 | 8 |
About Giuseppe Castellucci
Giuseppe Castellucci is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 22 papers that have together received 344 indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Natural Language Processing Techniques (12 papers), Sentiment Analysis and Opinion Mining (6 papers), Multimodal Machine Learning Applications (6 papers), Text and Document Classification Technologies (4 papers), Advanced Text Analysis Techniques (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Artificial Intelligence (289 citations), Computer Vision and Pattern Recognition (64 citations) and Information Systems (58 citations). Giuseppe Castellucci has collaborated with scholars based in Italy, United States and Qatar. Frequent co-authors include Danilo Croce, Roberto Basili, Simone Filice, Emanuele Bastianelli, Oleg Rokhlenko, Daniele Nardi, Giovanni Da San Martino, Luca Iocchi, Heng Ji and Alessandro Moschitti. Their work appears in journals such as SHILAP Revista de lepidopterología, The International Journal of Robotics Research and Journal of Machine Learning Research.
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.