Erfan Loweimi

33 papers and 279 indexed citations i.

About

Erfan Loweimi is a scholar working on Artificial Intelligence, Signal Processing and Physiology. According to data from OpenAlex, Erfan Loweimi has authored 33 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 29 papers in Signal Processing and 5 papers in Physiology. Recurrent topics in Erfan Loweimi’s work include Speech Recognition and Synthesis (27 papers), Speech and Audio Processing (25 papers) and Music and Audio Processing (17 papers). Erfan Loweimi is often cited by papers focused on Speech Recognition and Synthesis (27 papers), Speech and Audio Processing (25 papers) and Music and Audio Processing (17 papers). Erfan Loweimi collaborates with scholars based in United Kingdom, Iran and Belgium. Erfan Loweimi's co-authors include Steve Renals, Thomas Hain, Peter Bell, Jon Barker, Seyed Mohammad Ahadi, Zoran Cvetković, Roger K. Moore, Thomas Drugman, Shucong Zhang and Heidi Christensen and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, White Rose Research Online (University of Leeds) and IEEE International Conference on Acoustics Speech and Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Erfan Loweimi i

Fields of papers citing papers by Erfan Loweimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Erfan Loweimi

Since Specialization
Citations

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