Ted Painter

1.1k citations
9 papers · 692 · h-index 5

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Digital Filter Design and Implementation
    • Advanced Data Compression Techniques
    • Image and Signal Denoising Methods
    • Advanced Steganography and Watermarking Techniques

Papers in

Ted Painter

7 papers receiving 617 citations

Peers

Ted Painter
Comparison fields: 5 of 60
  • Signal Processing 527
  • Computer Vision and Pattern Recognition 414
  • Computational Mechanics 189
  • Cognitive Neuroscience 91
  • Architecture 6
Replace James A. Moorer with:
James A. Moorer United States
Ryuichi Oka Japan
Flávio Ribeiro Brazil
Georgios Evangelopoulos Greece
Richard M. Dansereau Canada
Thomas W. Parsons United Kingdom
Alessio Brutti Italy
Lippold Haken United States
Shengkui Zhao Singapore
Ted Painter relative to James A. Moorer United States James A. Moorer's profile →
Citations per field
00.5×2.7×
James A. Moorer · 1×
Citations per year

Countries citing papers authored by Ted Painter

Since Specialization
Citations

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

Fields of papers citing papers by Ted Painter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Ted Painter, 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 Ted Painter Line = papers co-authored together Ted Painter links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown

About Ted Painter

Ted Painter is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Biomedical Engineering and Automotive Engineering, having authored 9 papers that have together received 692 indexed citations. Recurring topics across this work include Speech and Audio Processing (8 papers), Image and Signal Denoising Methods (3 papers), Music and Audio Processing (3 papers), Advanced Data Compression Techniques (2 papers), Blind Source Separation Techniques (2 papers), Advanced Adaptive Filtering Techniques (2 papers), Experimental Learning in Engineering (1 paper) and Hearing Loss and Rehabilitation (1 paper). The work is most often cited by research in Signal Processing (527 citations), Computer Vision and Pattern Recognition (414 citations), Computational Mechanics (189 citations), Cognitive Neuroscience (91 citations) and Architecture (6 citations). Ted Painter has collaborated with scholars based in United States and Sweden. Frequent co-authors include Andreas Spanias and Venkatraman Atti. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Speech and Audio Processing, EURASIP Journal on Advances in Signal Processing and CERN Document Server (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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