Robert C. Maher

1.0k citations
67 papers · 765 · h-index 13

Impact in

Papers in

Robert C. Maher

60 papers receiving 669 citations

Peers

Robert C. Maher
Comparison fields: 5 of 75
  • Signal Processing 543
  • Developmental Biology 85
  • Computer Vision and Pattern Recognition 345
  • Cognitive Neuroscience 68
  • Artificial Intelligence 116
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Emre Çakır Finland
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Citations per field
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Citations per year

Countries citing papers authored by Robert C. Maher

Since Specialization
Citations

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

Fields of papers citing papers by Robert C. Maher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert C. Maher. 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 Robert C. Maher. The network helps show where Robert C. Maher may publish in the future.

Co-authors

The 25 scholars most cited alongside Robert C. Maher, 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 Robert C. Maher Line = papers co-authored together Robert C. Maher links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994119
2 200689
3 200986
4 200679
5 200772
6
Evaluation of a method for separating digitized duet signals
199037
7 199032
8
A Method for Extrapolation of Missing Digital Audio Data
199428
9
An approach for the separation of voices in composite musical signals
198923
10 200921
11 201021
12
DECIPHERING GUNSHOT RECORDINGS
200818
13
Directional Aspects of Forensic Gunshot Recordings
201012
14
Detection of Musical Pitch from Recorded Solo Performances
199310
15 20209
16 20189
17
Audio Enancement using Nonlinear Time-Frequency Filtering
20058
18
Wavetable synthesis strategies for mobile devices
20056
19
Methods for Reducing Audible Artifacts in a Wavelet-Based Broad-Band Denoising System
19985
20
On the Nature of Granulation Noise in Uniform Quantization Systems
19925

About Robert C. Maher

Robert C. Maher is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Biomedical Engineering and Cognitive Neuroscience, having authored 67 papers that have together received 765 indexed citations. Recurring topics across this work include Speech and Audio Processing (37 papers), Music and Audio Processing (36 papers), Music Technology and Sound Studies (13 papers), Digital Media Forensic Detection (12 papers), Advanced Adaptive Filtering Techniques (10 papers), Gait Recognition and Analysis (6 papers), Image and Signal Denoising Methods (5 papers) and Advanced Data Compression Techniques (4 papers). The work is most often cited by research in Signal Processing (543 citations), Developmental Biology (85 citations), Computer Vision and Pattern Recognition (345 citations), Cognitive Neuroscience (68 citations) and Artificial Intelligence (116 citations). Robert C. Maher has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include James W. Beauchamp, Zhixin Chen, Steven R. Shaw, Zhixin Chen, Graham A. Gagnon, Judith Read Guernsey, Mark D. Gibson, Jeffrey R. Brook, Mathew R. Heal and Stephen Beauchamp. Their work appears in journals such as Journal of the Audio Engineering Society, The Journal of the Acoustical Society of America, IEEE Signal Processing Magazine, Applied Acoustics and IEEE Signal Processing Letters.

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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