Carlo Aliprandi
- Artificial Intelligence top 10%
- Information Systems top 10%
- Sociology and Political Science
- Statistical and Nonlinear Physics
- Management Science and Operations Research
- Co-authors
- Montse CuadrosMaurizio TesconiAndrea MarchettiGermán RigauMonica MonachiniWauter BosmaPiek VossenAitor Soroa
- Topics
- Natural Language Processing Techniques (6 papers)Topic Modeling (3 papers)Subtitles and Audiovisual Media (3 papers)
- Partner nations
- ItalySpainSwitzerland
In The Last Decade
Carlo Aliprandi
14 papers receiving 222 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 177
- Information Systems 82
- Sociology and Political Science 43
- Statistical and Nonlinear Physics 18
- Management Science and Operations Research 17
Countries citing papers authored by Carlo Aliprandi
This map shows the geographic impact of Carlo Aliprandi'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 Carlo Aliprandi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Aliprandi more than expected).
Fields of papers citing papers by Carlo Aliprandi
This network shows the impact of papers produced by Carlo Aliprandi. 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 Carlo Aliprandi. The network helps show where Carlo Aliprandi may publish in the future.
Co-authorship network of co-authors of Carlo Aliprandi
This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Aliprandi. A scholar is included among the top collaborators of Carlo Aliprandi 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 Carlo Aliprandi. Carlo Aliprandi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 12 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | SAVAS: Collecting, Annotating and Sharing Audiovisual Language Resources for Automatic Subtitling | 6 |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 148 | |
| 11 | KAF: a Generic Semantic Annotation Format | 37 |
| 12 | 1 | |
| 13 | A word predictor for inflected languages: system design and user-centric interface | 4 |
| 14 | An Inflected-Sensitive Letter and Word Prediction System | 4 |
About Carlo Aliprandi
Carlo Aliprandi is a scholar working on Language and Linguistics, Information Systems and Artificial Intelligence, having authored 14 papers that have together received 253 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (3 papers) and Subtitles and Audiovisual Media (3 papers). The work is most often cited by research in Artificial Intelligence (177 citations), Information Systems (82 citations) and General Social Sciences (5 citations). Carlo Aliprandi has collaborated with scholars based in Italy, Spain and Switzerland. Frequent co-authors include Montse Cuadros, Maurizio Tesconi, Andrea Marchetti, Germán Rigau, Monica Monachini, Wauter Bosma, Piek Vossen, Aitor Soroa, Sérgio Roberto de Paulo and Paolo Mancarella. Their work appears in journals such as Multimedia Tools and Applications, Language Resources and Evaluation and Procedia Manufacturing.
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.