Federico Landini
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Experimental and Cognitive Psychology
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Co-authors
- Mireia DíezLukáš BurgetAlicia Lozano-DíezJaň ČernockýOndřej NovotnýPavel MatějkaKarel VeselýLadislav Mošner
- Topics
- Speech Recognition and Synthesis (10 papers)Music and Audio Processing (6 papers)Speech and Audio Processing (4 papers)
- Journals
- Computer Speech & LanguageIEEE/ACM Transactions on Audio Speech and Language ProcessingBiblos-e Archivo (Universidad Autónoma de Madrid)
- Partner nations
- CzechiaJapanUnited States
In The Last Decade
Federico Landini
12 papers receiving 95 citations
Peers
Comparison fields: 5 of 9
- Artificial Intelligence 94
- Signal Processing 76
- Experimental and Cognitive Psychology 3
- Computer Vision and Pattern Recognition 2
- Computer Networks and Communications 1
Countries citing papers authored by Federico Landini
This map shows the geographic impact of Federico Landini'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 Federico Landini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Landini more than expected).
Fields of papers citing papers by Federico Landini
This network shows the impact of papers produced by Federico Landini. 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 Federico Landini. The network helps show where Federico Landini may publish in the future.
Co-authorship network of co-authors of Federico Landini
This figure shows the co-authorship network connecting the top 25 collaborators of Federico Landini. A scholar is included among the top collaborators of Federico Landini 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 Federico Landini. Federico Landini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 12 | |
| 9 | 6 | |
| 10 | 20 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 21 | |
| 14 | 23 |
About Federico Landini
Federico Landini is a scholar working on Signal Processing, Artificial Intelligence and Hardware and Architecture, having authored 14 papers that have together received 97 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (10 papers), Music and Audio Processing (6 papers) and Speech and Audio Processing (4 papers). The work is most often cited by research in Signal Processing (76 citations), Artificial Intelligence (94 citations) and Experimental and Cognitive Psychology (3 citations). Federico Landini has collaborated with scholars based in Czechia, Japan and United States. Frequent co-authors include Mireia Díez, Lukáš Burget, Alicia Lozano-Díez, Jaň Černocký, Ondřej Novotný, Pavel Matějka, Karel Veselý, Ladislav Mošner, Kateřina Žmolíková and Ondřej Glembek. Their work appears in journals such as Computer Speech & Language, IEEE/ACM Transactions on Audio Speech and Language Processing and Biblos-e Archivo (Universidad Autónoma de Madrid).
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.