John M. Heinz
- Experimental and Cognitive Psychology top 5%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Cognitive Neuroscience top 10%
- Developmental and Educational Psychology top 10%
- Co-authors
- Kenneth N. StevensRachel E. StarkMichael WeissGrace H. Yeni–KomshianJames F. BosmaFrank L ViceHiroshi FujisakiC. Gordon Bell
- Topics
- Phonetics and Phonology Research (9 papers)Speech and Audio Processing (6 papers)Speech Recognition and Synthesis (4 papers)
- Journals
- The Journal of the Acoustical Society of AmericaDevelopmental Medicine & Child NeurologyJournal of Speech Language and Hearing Research
- Partner nations
- United StatesSwedenDenmark
In The Last Decade
John M. Heinz
14 papers receiving 448 citations
Peers
Comparison fields: 5 of 63
- Experimental and Cognitive Psychology 249
- Artificial Intelligence 166
- Signal Processing 154
- Cognitive Neuroscience 139
- Developmental and Educational Psychology 126
Countries citing papers authored by John M. Heinz
This map shows the geographic impact of John M. Heinz'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 M. Heinz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Heinz more than expected).
Fields of papers citing papers by John M. Heinz
This network shows the impact of papers produced by John M. Heinz. 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 M. Heinz. The network helps show where John M. Heinz may publish in the future.
Co-authorship network of co-authors of John M. Heinz
This figure shows the co-authorship network connecting the top 25 collaborators of John M. Heinz. A scholar is included among the top collaborators of John M. Heinz 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 M. Heinz. John M. Heinz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 53 | |
| 2 | 55 | |
| 3 | 20 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 57 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 49 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 25 | |
| 15 | 73 | |
| 16 | 170 | |
| 17 | 0 | |
| 18 | 1 | |
| 19 | 1 |
About John M. Heinz
John M. Heinz is a scholar working on Experimental and Cognitive Psychology, Pharmacy and Signal Processing, having authored 19 papers that have together received 516 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (9 papers), Speech and Audio Processing (6 papers) and Speech Recognition and Synthesis (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (249 citations), Signal Processing (154 citations) and Linguistics and Language (51 citations). John M. Heinz has collaborated with scholars based in United States, Sweden and Denmark. Frequent co-authors include Kenneth N. Stevens, Rachel E. Stark, Michael Weiss, Grace H. Yeni–Komshian, James F. Bosma, Frank L Vice, Hiroshi Fujisaki, C. Gordon Bell, Κ. Ν. Stevens and O. S. Bamford. Their work appears in journals such as The Journal of the Acoustical Society of America, Developmental Medicine & Child Neurology and Journal of Speech Language and Hearing Research.
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.