Enrico Bocchieri
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics
- Electrical and Electronic Engineering
- Co-authors
- Brian MakGiuseppe RiccardiRoberto PieracciniJ. G. WilponAlexandros PotamianosGeorge R. DoddingtonMurat SaraçlarDimitrios Dimitriadis
- Topics
- Speech Recognition and Synthesis (29 papers)Speech and Audio Processing (22 papers)Music and Audio Processing (18 papers)
- Journals
- The Journal of the Acoustical Society of AmericaIEEE Transactions on Speech and Audio ProcessingComputer Speech & Language
- Partner nations
- United StatesCanadaGreece
In The Last Decade
Enrico Bocchieri
36 papers receiving 603 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 628
- Signal Processing 420
- Computer Vision and Pattern Recognition 129
- Computational Mechanics 14
- Electrical and Electronic Engineering 14
Countries citing papers authored by Enrico Bocchieri
This map shows the geographic impact of Enrico Bocchieri'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 Enrico Bocchieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enrico Bocchieri more than expected).
Fields of papers citing papers by Enrico Bocchieri
This network shows the impact of papers produced by Enrico Bocchieri. 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 Enrico Bocchieri. The network helps show where Enrico Bocchieri may publish in the future.
Co-authorship network of co-authors of Enrico Bocchieri
This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Bocchieri. A scholar is included among the top collaborators of Enrico Bocchieri 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 Enrico Bocchieri. Enrico Bocchieri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 5 | |
| 3 | 10 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 73 | |
| 10 | 12 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 17 | |
| 14 | 7 | |
| 15 | The AT&t-DARPA communicator mixed-initiative spoken dialog system. | 31 |
| 16 | State tying of triphone HMM's for the 1994 AT&t ARPA ATIS recognizer. | 4 |
| 17 | 5 | |
| 18 | Time-Warping Network: A Hybrid Framework for Speech Recognition | 3 |
| 19 | 30 | |
| 20 | 1 |
About Enrico Bocchieri
Enrico Bocchieri is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 36 papers that have together received 700 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (29 papers), Speech and Audio Processing (22 papers) and Music and Audio Processing (18 papers). The work is most often cited by research in Signal Processing (420 citations), Artificial Intelligence (628 citations) and Computer Vision and Pattern Recognition (129 citations). Enrico Bocchieri has collaborated with scholars based in United States, Canada and Greece. Frequent co-authors include Brian Mak, Giuseppe Riccardi, Roberto Pieraccini, J. G. Wilpon, Alexandros Potamianos, George R. Doddington, Murat Saraçlar, Dimitrios Dimitriadis, Michael Riley and Srinivas Parthasarathy. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Transactions on Speech and Audio Processing and Computer Speech & Language.
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.