Jeffrey Borish

599 citations
11 papers · 437 · h-index 5

Impact in

Papers in

Jeffrey Borish

10 papers receiving 362 citations

Peers

Jeffrey Borish
Comparison fields: 5 of 50
  • Signal Processing 264
  • Cognitive Neuroscience 189
  • Speech and Hearing 55
  • Computer Graphics and Computer-Aided Design 23
  • Computer Vision and Pattern Recognition 102
Replace Jean-Jacques Embrechts with:
Jean-Jacques Embrechts Belgium
S. Sørsdal Norway
A. Krokstad Norway
S. Strøm Norway
Paul Calamia United States
Samuel Siltanen Finland
Jean-Dominique Polack France
Hannes Gamper United States
Swen Müller Brazil
Craig J. Webb United Kingdom
Jeffrey Borish relative to Jean-Jacques Embrechts Belgium Jean-Jacques Embrechts's profile →
Citations per field
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Jean-Jacques Embrechts · 1×
Citations per year

Countries citing papers authored by Jeffrey Borish

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Borish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Jeffrey Borish, 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 Jeffrey Borish Line = papers co-authored together Jeffrey Borish links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1984279
2
An Efficient Algorithm for Measuring the Impulse Response Using Pseudorandom Noise
1983137
3
An efficient algorithm for generating colored noise using a pseudorandom sequence
19858
4
An Auditorium Simulator for Domestic Use
19854
5 19854
6
The Digital Audio Processing Station: A New Concept in Audio Postproduction
19861
7
Diffusing Surfaces in Concert Halls: Boon or Bane?
19861
8
An Auditorium Simulator for Home Use
19831
9 19821
10 19861
11
A Gate-Array Multiplier for Digital Audio Processing
19850

About Jeffrey Borish

Jeffrey Borish is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Biomedical Engineering, Cognitive Neuroscience and Computer Networks and Communications, having authored 11 papers that have together received 437 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (4 papers), Music and Audio Processing (2 papers), Hearing Loss and Rehabilitation (2 papers), Analog and Mixed-Signal Circuit Design (1 paper), Blind Source Separation Techniques (1 paper), Sensor Technology and Measurement Systems (1 paper), Non-Invasive Vital Sign Monitoring (1 paper) and Embedded Systems Design Techniques (1 paper). The work is most often cited by research in Signal Processing (264 citations), Cognitive Neuroscience (189 citations), Speech and Hearing (55 citations), Computer Graphics and Computer-Aided Design (23 citations) and Computer Vision and Pattern Recognition (102 citations). Jeffrey Borish has collaborated with scholars based in United States and Israel. Frequent co-authors include James B. Angell, James A. Moorer and P. H. Nye. Their work appears in journals such as Journal of the Audio Engineering Society, The Journal of the Acoustical Society of America and SMPTE Journal.

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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