J. Picone
- Signal Processing top 0.5%
- Speech and Audio Processing 47
- Music and Audio Processing 19
- Blind Source Separation Techniques 13
- Artificial Intelligence top 1%
- Speech Recognition and Synthesis 53
- Natural Language Processing Techniques 16
- Neural Networks and Applications 15
- Speech and dialogue systems 13
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces 22
- Co-authors
- Iyad ObeidAravind GanapathirajuJ. HamakerGeorge R. DoddingtonG.Y. LazarouDavid J. PearceHans‐Günter HirschMercedes Jacobson
- Journals
- Speech Communication (3 papers)The Journal of the Acoustical Society of America (2 papers)IEEE Transactions on Speech and Audio Processing (2 papers)
- Partner nations
- United StatesCanadaAustria
In The Last Decade
J. Picone
115 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 134
- Signal Processing 1.4k
- Artificial Intelligence 1.4k
- Cognitive Neuroscience 599
- Computer Vision and Pattern Recognition 426
- Experimental and Cognitive Psychology 220
Countries citing papers authored by J. Picone
This map shows the geographic impact of J. Picone'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 J. Picone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Picone more than expected).
Fields of papers citing papers by J. Picone
This network shows the impact of papers produced by J. Picone. 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 J. Picone. The network helps show where J. Picone may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. Picone, 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 | 2023 | 19 | |
| 2 | 2022 | 1 | |
| 3 | 2020 | 4 | |
| 4 | Efficacy of a Virtual Teaching Assistant in an Open Laboratory Environment for Electric Circuits. | 2018 | 9 |
| 5 | 2018 | 2 | |
| 6 | 2016 | 302 | |
| 7 | 2015 | 45 | |
| 8 | 2015 | 1 | |
| 9 | 2015 | 8 | |
| 10 | 2014 | 70 | |
| 11 | 2013 | 17 | |
| 12 | 2013 | 21 | |
| 13 | Language Model Grammar Conversion. | 2006 | 1 |
| 14 | Real-time vehicle performance monitoring using wireless networking. | 2004 | 3 |
| 15 | 2003 | 40 | |
| 16 | The optimization of edge and line detectors for forest image analysis | 2000 | 0 |
| 17 | A Public Domain Decoder For Large Vocabulary Conversational Speech Recognition | 1999 | 1 |
| 18 | Support vector machines for speech recognition. | 1998 | 37 |
| 19 | 1998 | 53 | |
| 20 | 1988 | 9 |
About J. Picone
J. Picone is a scholar working on Signal Processing, Artificial Intelligence and Cognitive Neuroscience, having authored 129 papers that have together received 2.6k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (53 papers), Speech and Audio Processing (47 papers), EEG and Brain-Computer Interfaces (22 papers), Music and Audio Processing (19 papers), Natural Language Processing Techniques (16 papers), Neural Networks and Applications (15 papers), Speech and dialogue systems (13 papers) and Blind Source Separation Techniques (13 papers). The work is most often cited by research in Signal Processing (1.4k citations), Artificial Intelligence (1.4k citations) and Cognitive Neuroscience (599 citations). J. Picone has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include Iyad Obeid, Aravind Ganapathiraju, J. Hamaker, George R. Doddington, G.Y. Lazarou, David J. Pearce, Hans‐Günter Hirsch, Mercedes Jacobson, Gary R. Bond and J.L. LoCicero. Their work appears in journals such as Speech Communication, The Journal of the Acoustical Society of America, IEEE Transactions on Speech and Audio Processing, International Journal of Speech Technology and Measurement.
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.