Jordan Cheer

109 papers receiving 1.9k citations

Peers

Jordan Cheer
Comparison fields: 5 of 66
  • Signal Processing 971
  • Computational Mechanics 1.1k
  • Biomedical Engineering 1.3k
  • Cognitive Neuroscience 540
  • Speech and Hearing 165
Replace Filippo Maria Fazi with:
Filippo Maria Fazi United Kingdom
Yang‐Hann Kim South Korea
Prasanga N. Samarasinghe Australia
Chuang Shi China
Alain Berry Canada
Mark A. Poletti New Zealand
Danielle Moreau Australia
Efrén Fernández-Grande Denmark
Jeong–Guon Ih South Korea
Jordan Cheer relative to Filippo Maria Fazi United Kingdom Filippo Maria Fazi's profile →
Citations per field
00.5×10×16×
Filippo Maria Fazi · 1×
Citations per year

Countries citing papers authored by Jordan Cheer

Since Specialization
Citations

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

Fields of papers citing papers by Jordan Cheer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015148
2 2012139
3 2018127
4 201982
5 201564
6 201560
7 201750
8
Design and implementation of a car cabin personal audio system
201345
9 201545
10 201044
11 201841
12 201940
13
Practical Implementation of Personal Audio in a Mobile Device
201339
14 201839
15 201238
16 201938
17 201637
18 202036
19 201633
20 201333

About Jordan Cheer

Jordan Cheer is a scholar working on Biomedical Engineering, Computational Mechanics, Signal Processing, Aerospace Engineering and Cognitive Neuroscience, having authored 123 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acoustic Wave Phenomena Research (92 papers), Advanced Adaptive Filtering Techniques (58 papers), Speech and Audio Processing (47 papers), Hearing Loss and Rehabilitation (26 papers), Vehicle Noise and Vibration Control (24 papers), Aeroelasticity and Vibration Control (14 papers), Metamaterials and Metasurfaces Applications (12 papers) and Aerodynamics and Acoustics in Jet Flows (8 papers). The work is most often cited by research in Signal Processing (971 citations), Computational Mechanics (1.1k citations), Biomedical Engineering (1.3k citations), Cognitive Neuroscience (540 citations) and Speech and Hearing (165 citations). Jordan Cheer has collaborated with scholars based in United Kingdom, India and Singapore. Frequent co-authors include Stephen J. Elliott, Youngtae Kim, Jung‐Woo Choi, Vinal Patel, S. Daley, Steve Daley, Woon‐Seng Gan, Simone Fontana, Bhan Lam and Filippo Maria Fazi. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Sound and Vibration, Applied Acoustics, Journal of the Audio Engineering Society and Mechanical Systems and Signal Processing.

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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