Diamantino Caseiro
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Molecular Biology
- Computer Vision and Pattern Recognition
- Ecology
- Co-authors
- Isabel TrancosoBahrad A. SokhansanjGail RosenRobi PolikarNuno MamedeJoão P. NetoHugo MeinedoFernando Batista
- Topics
- Speech Recognition and Synthesis (28 papers)Natural Language Processing Techniques (25 papers)Speech and dialogue systems (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioMed Research InternationalIEEE Transactions on Audio Speech and Language Processing
- Partner nations
- PortugalUnited StatesSpain
In The Last Decade
Diamantino Caseiro
42 papers receiving 432 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 375
- Signal Processing 135
- Molecular Biology 85
- Computer Vision and Pattern Recognition 41
- Ecology 40
Countries citing papers authored by Diamantino Caseiro
This map shows the geographic impact of Diamantino Caseiro'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 Diamantino Caseiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diamantino Caseiro more than expected).
Fields of papers citing papers by Diamantino Caseiro
This network shows the impact of papers produced by Diamantino Caseiro. 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 Diamantino Caseiro. The network helps show where Diamantino Caseiro may publish in the future.
Co-authorship network of co-authors of Diamantino Caseiro
This figure shows the co-authorship network connecting the top 25 collaborators of Diamantino Caseiro. A scholar is included among the top collaborators of Diamantino Caseiro 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 Diamantino Caseiro. Diamantino Caseiro 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | Visual Voice Mail to Text on the iPhone/iPad. | 2 |
| 6 | 10 | |
| 7 | 5 | |
| 8 | Building a Golden Collection of Parallel Multi-Language Word Alignment | 25 |
| 9 | 29 | |
| 10 | 79 | |
| 11 | The INESC-ID IWSLT07 SMT System | 1 |
| 12 | 45 | |
| 13 | 34 | |
| 14 | 11 | |
| 15 | Pronunciation modeling using finite state transducers | 6 |
| 16 | 10 | |
| 17 | 9 | |
| 18 | 6 | |
| 19 | AUTOMATIC ALIGNMENT OF MAP TASK DIALOGS USING WFSTS | 1 |
| 20 | 4 |
About Diamantino Caseiro
Diamantino Caseiro is a scholar working on Artificial Intelligence, Signal Processing and Human Factors and Ergonomics, having authored 48 papers that have together received 499 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (28 papers), Natural Language Processing Techniques (25 papers) and Speech and dialogue systems (19 papers). The work is most often cited by research in Signal Processing (135 citations), Artificial Intelligence (375 citations) and Language and Linguistics (31 citations). Diamantino Caseiro has collaborated with scholars based in Portugal, United States and Spain. Frequent co-authors include Isabel Trancoso, Bahrad A. Sokhansanj, Gail Rosen, Robi Polikar, Nuno Mamede, João P. Neto, Hugo Meinedo, Fernando Batista, Sadaoki Furui and Paul R. Dixon. Their work appears in journals such as SHILAP Revista de lepidopterología, BioMed Research International and IEEE Transactions on Audio Speech and Language Processing.
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.