E. Motuk

2.9k citations
8 papers · 93 · h-index 5

Impact in

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

Papers in

E. Motuk

8 papers receiving 92 citations

Peers

E. Motuk
Comparison fields: 5 of 39
  • Signal Processing 39
  • Hardware and Architecture 12
  • Computer Vision and Pattern Recognition 27
  • Artificial Intelligence 28
  • Architecture 1
Replace Thierry Grandpierre with:
Thierry Grandpierre France
Luca Rigazio United States
L. Strawczynski Canada
Se-Jin Oh South Korea
Siyue Sun China
Klaus-Henning Noffz Germany
Nicolas Keriven France
S. Kumar United States
Ariel Gordon United States
Pouya Samangouei United States
E. Motuk relative to Thierry Grandpierre France Thierry Grandpierre's profile →
Citations per field
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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 93 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), VLSI and FPGA Design Techniques (1 paper), Dark Matter and Cosmic Phenomena (1 paper), Superconducting Materials and Applications (1 paper), Particle Accelerators and Free-Electron Lasers (1 paper) and Real-time simulation and control systems (1 paper). The work is most often cited by research in Signal Processing (39 citations), Hardware and Architecture (12 citations), Computer Vision and Pattern Recognition (27 citations), Artificial Intelligence (28 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. Warren, M. Postranecky, M. Wing, John McAllister and Stephen Cook. Their work appears in journals such as Journal of Instrumentation, IEEE Transactions on Signal Processing, UCL Discovery (University College London) and Zenodo (CERN European Organization for Nuclear Research).

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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