Michael S. Scordilis
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology top 10%
- Computational Mechanics
- Co-authors
- Sherif AbdouAlexandre X. FalcãoJoão Paulo PapaDavid B. GraydenJ.N. GowdyYongxin ZhangLu Han
- Topics
- Speech and Audio Processing (20 papers)Speech Recognition and Synthesis (19 papers)Music and Audio Processing (13 papers)
- Journals
- The Journal of the Acoustical Society of AmericaJournal of the Franklin InstitutePattern Recognition Letters
- Partner nations
- United StatesAustraliaGreece
In The Last Decade
Michael S. Scordilis
27 papers receiving 334 citations
Peers
Comparison fields: 5 of 38
- Signal Processing 241
- Artificial Intelligence 195
- Computer Vision and Pattern Recognition 121
- Experimental and Cognitive Psychology 118
- Computational Mechanics 40
Countries citing papers authored by Michael S. Scordilis
This map shows the geographic impact of Michael S. Scordilis'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 Michael S. Scordilis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Scordilis more than expected).
Fields of papers citing papers by Michael S. Scordilis
This network shows the impact of papers produced by Michael S. Scordilis. 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 Michael S. Scordilis. The network helps show where Michael S. Scordilis may publish in the future.
Co-authorship network of co-authors of Michael S. Scordilis
This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Scordilis. A scholar is included among the top collaborators of Michael S. Scordilis 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 Michael S. Scordilis. Michael S. Scordilis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 8 | |
| 3 | 13 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | Optimization of GMM training for speaker verification. | 2 |
| 10 | 11 | |
| 11 | 34 | |
| 12 | 0 | |
| 13 | 21 | |
| 14 | 22 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 27 | |
| 19 | 3 | |
| 20 | 1 |
About Michael S. Scordilis
Michael S. Scordilis is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 368 indexed citations. Recurring topics across this work include Speech and Audio Processing (20 papers), Speech Recognition and Synthesis (19 papers) and Music and Audio Processing (13 papers). The work is most often cited by research in Signal Processing (241 citations), Experimental and Cognitive Psychology (118 citations) and Artificial Intelligence (195 citations). Michael S. Scordilis has collaborated with scholars based in United States, Australia and Greece. Frequent co-authors include Sherif Abdou, Alexandre X. Falcão, João Paulo Papa, David B. Grayden, J.N. Gowdy, Yongxin Zhang and Lu Han. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of the Franklin Institute and Pattern Recognition 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.