Vassilios Digalakis
- Artificial Intelligence top 0.5%
- Signal Processing top 0.5%
- Computer Vision and Pattern Recognition top 5%
- Experimental and Cognitive Psychology top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Leonardo NeumeyerMari OstendorfOwen KimballHy MurveitJán RohlíčekM. WeintraubHoracio FrancoJohn Butzberger
- Topics
- Speech Recognition and Synthesis (48 papers)Speech and Audio Processing (39 papers)Music and Audio Processing (18 papers)
- Journals
- IEEE Transactions on Signal ProcessingIEEE Journal on Selected Areas in CommunicationsIEEE Signal Processing Letters
- Partner nations
- GreeceUnited StatesJapan
In The Last Decade
Vassilios Digalakis
66 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 1.9k
- Signal Processing 1.4k
- Computer Vision and Pattern Recognition 278
- Experimental and Cognitive Psychology 243
- Control and Systems Engineering 78
Countries citing papers authored by Vassilios Digalakis
This map shows the geographic impact of Vassilios Digalakis'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 Vassilios Digalakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vassilios Digalakis more than expected).
Fields of papers citing papers by Vassilios Digalakis
This network shows the impact of papers produced by Vassilios Digalakis. 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 Vassilios Digalakis. The network helps show where Vassilios Digalakis may publish in the future.
Co-authorship network of co-authors of Vassilios Digalakis
This figure shows the co-authorship network connecting the top 25 collaborators of Vassilios Digalakis. A scholar is included among the top collaborators of Vassilios Digalakis 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 Vassilios Digalakis. Vassilios Digalakis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | Speech Emotion Recognition using non-linear Teager energy based features in noisy environments | 22 |
| 4 | 39 | |
| 5 | 15 | |
| 6 | 31 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 13 | |
| 11 | Multiple dialects and languages | 2 |
| 12 | Porting a recogniser to a new language | 4 |
| 13 | 90 | |
| 14 | 13 | |
| 15 | 32 | |
| 16 | 100 | |
| 17 | 14 | |
| 18 | 97 | |
| 19 | 12 | |
| 20 | 8 |
About Vassilios Digalakis
Vassilios Digalakis is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 68 papers that have together received 2.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (48 papers), Speech and Audio Processing (39 papers) and Music and Audio Processing (18 papers). The work is most often cited by research in Signal Processing (1.4k citations), Artificial Intelligence (1.9k citations) and Experimental and Cognitive Psychology (243 citations). Vassilios Digalakis has collaborated with scholars based in Greece, United States and Japan. Frequent co-authors include Leonardo Neumeyer, Mari Ostendorf, Owen Kimball, Hy Murveit, Ján Rohlíček, M. Weintraub, Horacio Franco, John Butzberger, Ananth Sankar and David Carter. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Journal on Selected Areas in Communications and IEEE Signal Processing Letters.
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.