Erfan Loweimi

515 total citations
36 papers, 326 citations indexed

About

Erfan Loweimi is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Erfan Loweimi has authored 36 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Signal Processing, 30 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Erfan Loweimi's work include Speech Recognition and Synthesis (28 papers), Speech and Audio Processing (27 papers) and Music and Audio Processing (16 papers). Erfan Loweimi is often cited by papers focused on Speech Recognition and Synthesis (28 papers), Speech and Audio Processing (27 papers) and Music and Audio Processing (16 papers). Erfan Loweimi collaborates with scholars based in United Kingdom, Iran and China. 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, IET Computer Vision and Research Portal (King's College London).

In The Last Decade

Erfan Loweimi

33 papers receiving 308 citations

Peers

Erfan Loweimi
Comparison fields: 5 of 36
  • Artificial Intelligence 247
  • Signal Processing 243
  • Experimental and Cognitive Psychology 78
  • Physiology 59
  • Computer Vision and Pattern Recognition 34
Replace Lauri Juvela with:
Lauri Juvela Finland
Nagaraj Adiga India
Wen-Chin Huang Japan
Ranniery Maia Japan
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Hannah Muckenhirn Switzerland
Bajibabu Bollepalli Finland
Phani Sankar Nidadavolu United States
Mengzhe Geng Hong Kong
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Citations per field, relative to Erfan Loweimi
Erfan Loweimi · 1×
Citations per year, relative to Erfan Loweimi
Erfan Loweimi · 1×

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).

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.

Co-authorship network of co-authors of Erfan Loweimi

This figure shows the co-authorship network connecting the top 25 collaborators of Erfan Loweimi. A scholar is included among the top collaborators of Erfan Loweimi 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 Erfan Loweimi. Erfan Loweimi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 7
4 15
5 14
6 9
7 8
8 5
9 1
10 4
11 3
12 28
13 4
14 4
15 4
16 1
17 4
18 16
19
On the importance of phase and magnitude spectra in speech enhancement
4
20 12

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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