Fred D. Minifie
- Experimental and Cognitive Psychology top 2%
- Developmental and Educational Psychology top 5%
- Artificial Intelligence top 5%
- Physiology top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- R. D. KentLyle L. LloydJennifer HornerRebecca E. EilersCharles A. KelseyThomas J. HixonMasahiko HigashikawaKathryn M. Yorkston
- Topics
- Phonetics and Phonology Research (25 papers)Speech Recognition and Synthesis (10 papers)Voice and Speech Disorders (9 papers)
- Cited by
- Experimental and Cognitive PsychologyDevelopmental and Educational PsychologyLinguistics and Language
- Journals
- ScienceThe Journal of the Acoustical Society of AmericaIEEE Transactions on Biomedical Engineering
- Partner nations
- United StatesJapan
In The Last Decade
Fred D. Minifie
43 papers receiving 941 citations
Peers
Comparison fields: 5 of 94
- Experimental and Cognitive Psychology 549
- Developmental and Educational Psychology 320
- Artificial Intelligence 252
- Physiology 242
- Cognitive Neuroscience 204
Countries citing papers authored by Fred D. Minifie
This map shows the geographic impact of Fred D. Minifie'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 Fred D. Minifie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred D. Minifie more than expected).
Fields of papers citing papers by Fred D. Minifie
This network shows the impact of papers produced by Fred D. Minifie. 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 Fred D. Minifie. The network helps show where Fred D. Minifie may publish in the future.
Co-authorship network of co-authors of Fred D. Minifie
This figure shows the co-authorship network connecting the top 25 collaborators of Fred D. Minifie. A scholar is included among the top collaborators of Fred D. Minifie 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 Fred D. Minifie. Fred D. Minifie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 26 | |
| 3 | 18 | |
| 4 | 44 | |
| 5 | 14 | |
| 6 | Communicative and cognitive abilities : early behavioral assessment | 155 |
| 7 | 3 | |
| 8 | 170 | |
| 9 | 7 | |
| 10 | 75 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 30 | |
| 14 | 8 | |
| 15 | 23 | |
| 16 | 17 | |
| 17 | 4 | |
| 18 | 5 | |
| 19 | 5 | |
| 20 | 2 |
About Fred D. Minifie
Fred D. Minifie is a scholar working on Experimental and Cognitive Psychology, Speech and Hearing and Signal Processing, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Phonetics and Phonology Research (25 papers), Speech Recognition and Synthesis (10 papers) and Voice and Speech Disorders (9 papers). The work is most often cited by research in Experimental and Cognitive Psychology (549 citations), Developmental and Educational Psychology (320 citations) and Linguistics and Language (99 citations). Fred D. Minifie has collaborated with scholars based in United States and Japan. Frequent co-authors include R. D. Kent, Lyle L. Lloyd, Jennifer Horner, Rebecca E. Eilers, Charles A. Kelsey, Thomas J. Hixon, Masahiko Higashikawa, Kathryn M. Yorkston, Dean E. Williams and Frederic L. Darley. Their work appears in journals such as Science, The Journal of the Acoustical Society of America and IEEE Transactions on Biomedical Engineering.
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.