Umut Isik

13 papers and 239 indexed citations i.

About

Umut Isik is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Umut Isik has authored 13 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Signal Processing, 8 papers in Artificial Intelligence and 4 papers in Computational Mechanics. Recurrent topics in Umut Isik’s work include Speech and Audio Processing (11 papers), Speech Recognition and Synthesis (8 papers) and Music and Audio Processing (6 papers). Umut Isik is often cited by papers focused on Speech and Audio Processing (11 papers), Speech Recognition and Synthesis (8 papers) and Music and Audio Processing (6 papers). Umut Isik collaborates with scholars based in United States. Umut Isik's co-authors include Arvindh Krishnaswamy, Ritwik Giri, Jean-Marc Valin, Karim Helwani, Neerad Phansalkar, Andrew H. Song, Srikanth V. Tenneti, Shrikant Venkataramani, Hassan Sawaf and Roberto Barra-Chicote and has published in prestigious journals such as Forum of Mathematics Sigma, arXiv (Cornell University) and Interspeech 2022.

In The Last Decade

Co-authorship network of co-authors of Umut Isik i

Fields of papers citing papers by Umut Isik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Umut Isik. 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 Umut Isik. The network helps show where Umut Isik may publish in the future.

Countries citing papers authored by Umut Isik

Since Specialization
Citations

This map shows the geographic impact of Umut Isik'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 Umut Isik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umut Isik 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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2025