E. Motuk

3.0k citations
8 papers · 92 · h-index 5

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Blind Source Separation Techniques
    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques

Papers in

E. Motuk

7 papers receiving 91 citations

Peers

E. Motuk
Comparison fields: 5 of 39
  • Signal Processing 40
  • Hardware and Architecture 12
  • Computer Vision and Pattern Recognition 27
  • Artificial Intelligence 29
  • Architecture 1
Replace Thierry Grandpierre with:
Thierry Grandpierre France
Chandra Shaker Pittala India
Luca Rigazio United States
Chien-Min Wu Taiwan
S. Chu United States
Se-Jin Oh South Korea
Nicolas Keriven France
Klaus-Henning Noffz Germany
Pouya Samangouei United States
Jure Sokolić United Kingdom
E. Motuk relative to Thierry Grandpierre France Thierry Grandpierre's profile →
Citations per field
00.5×2.7×
Thierry Grandpierre · 1×
Citations per year

Countries citing papers authored by E. Motuk

Since Specialization
Citations

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

Fields of papers citing papers by E. Motuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside E. Motuk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. Motuk Line = papers co-authored together E. Motuk links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown

About E. Motuk

E. Motuk is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Hardware and Architecture, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 8 papers that have together received 92 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (3 papers), Embedded Systems Design Techniques (2 papers), Numerical Methods and Algorithms (2 papers), Dark Matter and Cosmic Phenomena (1 paper), Acoustic Wave Phenomena Research (1 paper), Online Learning and Analytics (1 paper), Robotics and Automated Systems (1 paper) and Particle Detector Development and Performance (1 paper). The work is most often cited by research in Signal Processing (40 citations), Hardware and Architecture (12 citations), Computer Vision and Pattern Recognition (27 citations), Artificial Intelligence (29 citations) and Architecture (1 citation). E. Motuk has collaborated with scholars based in United Kingdom, Australia and Türkiye. Frequent co-authors include Stefan Bilbao, Roger Woods, Aydan M. Erkmen, M. Postranecky, M. Warren, John McAllister, M. Wing and Stephen Cook. Their work appears in journals such as Journal of Instrumentation, IEEE Transactions on Signal Processing, Zenodo (CERN European Organization for Nuclear Research), Edinburgh Research Explorer and UCL Discovery (University College London).

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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