John J. Godfrey

2.2k total citations
42 papers, 1.1k citations indexed

About

John J. Godfrey is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, John J. Godfrey has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 12 papers in Signal Processing and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in John J. Godfrey's work include Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (12 papers) and Phonetics and Phonology Research (7 papers). John J. Godfrey is often cited by papers focused on Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (12 papers) and Phonetics and Phonology Research (7 papers). John J. Godfrey collaborates with scholars based in United States, United Kingdom and Egypt. John J. Godfrey's co-authors include George R. Doddington, Charles T. Hemphill, Ann Syrdal-Lasky, Alvin F. Martín, Craig S. Greenberg, Joseph P. Campbell, Howard H. Patterson, W.D. Andrews, M.A. Kohler and Jaime Hernández-Cordero and has published in prestigious journals such as Nature, Journal of the American College of Cardiology and The Journal of the Acoustical Society of America.

In The Last Decade

John J. Godfrey

40 papers receiving 960 citations

Peers

John J. Godfrey
Comparison fields: 5 of 96
  • Artificial Intelligence 680
  • Developmental and Educational Psychology 255
  • Signal Processing 237
  • Cognitive Neuroscience 222
  • Experimental and Cognitive Psychology 138
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Citations per field, relative to John J. Godfrey
John J. Godfrey · 1×
Citations per year, relative to John J. Godfrey
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Countries citing papers authored by John J. Godfrey

Since Specialization
Citations

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

Fields of papers citing papers by John J. Godfrey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Godfrey. 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 John J. Godfrey. The network helps show where John J. Godfrey may publish in the future.

Co-authorship network of co-authors of John J. Godfrey

This figure shows the co-authorship network connecting the top 25 collaborators of John J. Godfrey. A scholar is included among the top collaborators of John J. Godfrey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John J. Godfrey. John J. Godfrey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3
New release of Mixer-6: Improved validity for phonetic study of speaker variation and identification
3
4 9
5
SpaceCube 2.0: An Advanced Hybrid Onboard Data Processor
2
6
Human Assisted Speaker Recognition In NIST SRE10
15
7
The mixer and transcript reading corpora: Resources for multilingual, crosschannel speaker recognition research
16
8 48
9
Phonetic, idiolectal and acoustic speaker recognition.
20
10 3
11
Language resources: overview
1
12 11
13 4
14 4
15 3
16 5
17 19
18 2
19 30
20 1

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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