James M. Kates

3.4k citations
120 papers · 2.6k · h-index 28

Impact in

Papers in

James M. Kates

113 papers receiving 2.4k citations

Peers

James M. Kates
Comparison fields: 5 of 72
  • Signal Processing 1.7k
  • Cognitive Neuroscience 1.8k
  • Speech and Hearing 528
  • Sensory Systems 166
  • Computational Mechanics 756
Replace Volker Hohmann with:
Volker Hohmann Germany
Yôiti Suzuki Japan
Steven van de Par Germany
H. J. M. Steeneken Netherlands
Jens Blauert Germany
P.C. Loizou United States
Stephan D. Ewert Germany
Thomas Brand Germany
Rob Drullman Netherlands
Patrick M. Zurek United States
James M. Kates relative to Volker Hohmann Germany Volker Hohmann's profile →
Citations per field
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Citations per year

Countries citing papers authored by James M. Kates

Since Specialization
Citations

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

Fields of papers citing papers by James M. Kates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Kates. 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 James M. Kates. The network helps show where James M. Kates may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005174
2 2013139
3
Digital Hearing Aids
2008132
4 2014123
5 2015109
6
The Hearing-Aid Speech Quality Index (HASQI)
201090
7 201487
8 199679
9 199174
10 199368
11 199964
12 201557
13 200754
14 199252
15 201351
16 199150
17 202050
18 201049
19 200549
20 200547

About James M. Kates

James M. Kates is a scholar working on Cognitive Neuroscience, Signal Processing, Computational Mechanics, Speech and Hearing and Biomedical Engineering, having authored 120 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (91 papers), Speech and Audio Processing (75 papers), Advanced Adaptive Filtering Techniques (37 papers), Noise Effects and Management (21 papers), Acoustic Wave Phenomena Research (21 papers), Structural Health Monitoring Techniques (17 papers), Hearing, Cochlea, Tinnitus, Genetics (7 papers) and Direction-of-Arrival Estimation Techniques (2 papers). The work is most often cited by research in Signal Processing (1.7k citations), Cognitive Neuroscience (1.8k citations), Speech and Hearing (528 citations), Sensory Systems (166 citations) and Computational Mechanics (756 citations). James M. Kates has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Kathryn H. Arehart, Pamela E. Souza, Melinda C. Anderson, Mark R. Weiss, Lewis O. Harvey, Gabrielle H. Saunders, Susan Scollie, Oldooz Hazrati, João Felipe Santos and Tiago H. Falk. Their work appears in journals such as The Journal of the Acoustical Society of America, Ear and Hearing, Journal of the Audio Engineering Society, Journal of Speech Language and Hearing Research and Speech Communication.

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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