Michael S. Scordilis

17 papers and 226 indexed citations i.

About

Michael S. Scordilis is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael S. Scordilis has authored 17 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Signal Processing, 8 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael S. Scordilis’s work include Speech and Audio Processing (13 papers), Music and Audio Processing (10 papers) and Speech Recognition and Synthesis (8 papers). Michael S. Scordilis is often cited by papers focused on Speech and Audio Processing (13 papers), Music and Audio Processing (10 papers) and Speech Recognition and Synthesis (8 papers). Michael S. Scordilis collaborates with scholars based in United States, Brazil and United Kingdom. Michael S. Scordilis's co-authors include João Paulo Papa, Alexandre X. Falcão, Sherif Abdou, J.N. Gowdy, Lu Han and Yongxin Zhang and has published in prestigious journals such as The Journal of the Acoustical Society of America, Journal of the Franklin Institute and Pattern Recognition Letters.

In The Last Decade

Co-authorship network of co-authors of Michael S. Scordilis i

Fields of papers citing papers by Michael S. Scordilis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Michael S. Scordilis

Since Specialization
Citations

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).

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.

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