C.C. Goodyear

743 citations
38 papers · 592 · h-index 9

Impact in

Papers in

C.C. Goodyear

34 papers receiving 519 citations

Peers

C.C. Goodyear
Comparison fields: 5 of 65
  • Atomic and Molecular Physics, and Optics 367
  • Signal Processing 82
  • Statistical and Nonlinear Physics 80
  • Artificial Intelligence 219
  • Acoustics and Ultrasonics 4
Replace Peter Fellgett with:
Peter Fellgett United Kingdom
Lewis P. Fulcher United States
Nobuyasu Shiga Japan
R. Felton United Kingdom
D. F. McAlister United States
Ronald Holzlöhner Germany
David J. Starling United States
R. Odorico Italy
Samuel H. Moseley United States
Jeff Sherman United States
C.C. Goodyear relative to Peter Fellgett United Kingdom Peter Fellgett's profile →
Citations per field
00.5×5×10×12.9×
Peter Fellgett · 1×
Citations per year

Countries citing papers authored by C.C. Goodyear

Since Specialization
Citations

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

Fields of papers citing papers by C.C. Goodyear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside C.C. Goodyear, 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 C.C. Goodyear Line = papers co-authored together C.C. Goodyear links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1965339
2 196936
3 199123
4 196222
5 199221
6 196719
7 197318
8 196816
9 196112
10 19838
11 19907
12 19917
13 19687
14 19716
15 19835
16 19845
17 19734
18 20024
19 19693
20 20033

About C.C. Goodyear

C.C. Goodyear is a scholar working on Signal Processing, Artificial Intelligence, Computational Mechanics, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 38 papers that have together received 592 indexed citations. Recurring topics across this work include Speech and Audio Processing (16 papers), Speech Recognition and Synthesis (11 papers), Advanced Adaptive Filtering Techniques (7 papers), Phonetics and Phonology Research (6 papers), Music and Audio Processing (6 papers), Plasma Diagnostics and Applications (5 papers), Analytical Chemistry and Sensors (3 papers) and Music Technology and Sound Studies (3 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (367 citations), Signal Processing (82 citations), Statistical and Nonlinear Physics (80 citations), Artificial Intelligence (219 citations) and Acoustics and Ultrasonics (4 citations). C.C. Goodyear has collaborated with scholars based in United Kingdom, United States and Hong Kong. Frequent co-authors include A. E. Roche, A. Engel, Mazin G. Rahim, P.C. Ching, Juergen Schroeter, A. von Engel, B.M.G. Cheetham, S.W. Beet and Hyeong-Seok Choi. Their work appears in journals such as Electronics Letters, Journal of Physics D Applied Physics, Speech Communication, Computer Speech & Language and IEE Proceedings G (Electronic Circuits and Systems).

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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