Paul D. Allopenna
- Cognitive Neuroscience top 2%
- Developmental and Educational Psychology top 1%
- Experimental and Cognitive Psychology top 1%
- Artificial Intelligence top 5%
- Language and Linguistics top 5%
- Co-authors
- James S. MagnusonMichael K. TanenhausGregory L. MurphyRushen ShiJames L. MorganKevin BrownMonty A. Escabı́Jay G. Rueckl
- Topics
- Speech Recognition and Synthesis (3 papers)Educational Strategies and Epistemologies (2 papers)Speech and Audio Processing (2 papers)
- Cited by
- Developmental and Educational PsychologyExperimental and Cognitive PsychologyCognitive Neuroscience
- Journals
- Journal of Experimental Psychology Learning Memory and CognitionJournal of Memory and LanguageCognitive Science
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Paul D. Allopenna
9 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Cognitive Neuroscience 810
- Developmental and Educational Psychology 805
- Experimental and Cognitive Psychology 741
- Artificial Intelligence 333
- Language and Linguistics 108
Countries citing papers authored by Paul D. Allopenna
This map shows the geographic impact of Paul D. Allopenna'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 Paul D. Allopenna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul D. Allopenna more than expected).
Fields of papers citing papers by Paul D. Allopenna
This network shows the impact of papers produced by Paul D. Allopenna. 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 Paul D. Allopenna. The network helps show where Paul D. Allopenna may publish in the future.
Co-authorship network of co-authors of Paul D. Allopenna
This figure shows the co-authorship network connecting the top 25 collaborators of Paul D. Allopenna. A scholar is included among the top collaborators of Paul D. Allopenna 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 Paul D. Allopenna. Paul D. Allopenna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 48 | |
| 2 | EARSHOT: A minimal network model of human speech recognition that operates on real speech. | 1 |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 137 | |
| 7 | Tracking the Time Course of Spoken Word Recognition Using Eye Movements: Evidence for Continuous Mapping Modelsbreakdown → | 1018 |
| 8 | 111 | |
| 9 | 69 |
About Paul D. Allopenna
Paul D. Allopenna is a scholar working on Developmental and Educational Psychology, Signal Processing and Artificial Intelligence, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (3 papers), Educational Strategies and Epistemologies (2 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Developmental and Educational Psychology (805 citations), Experimental and Cognitive Psychology (741 citations) and Cognitive Neuroscience (810 citations). Paul D. Allopenna has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include James S. Magnuson, Michael K. Tanenhaus, Gregory L. Murphy, Rushen Shi, James L. Morgan, Kevin Brown, Monty A. Escabı́, Jay G. Rueckl, Hosung Nam and Sahil Luthra. Their work appears in journals such as Journal of Experimental Psychology Learning Memory and Cognition, Journal of Memory and Language and Cognitive Science.
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.