Daniel Bone
Impact in
- Cognitive Neuroscience top 5%
- Autism Spectrum Disorder Research
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- Emotion and Mood Recognition
Papers in
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- Autism Spectrum Disorder Research 18
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- Emotion and Mood Recognition 8
- Phonetics and Phonology Research 6
- Co-authors
- Shrikanth Narayanan (36 shared papers)Matthew Black (11 shared papers)Chi-Chun Lee (12 shared papers)Matthew S. Goodwin (2 shared papers)Sungbok Lee (10 shared papers)Somer Bishop (3 shared papers)Kartik Audhkhasi (1 shared paper)Theodora Chaspari (9 shared papers)
- Journals
- Computer Speech & Language (2 papers)Journal of Child Psychology and Psychiatry (1 paper)IEEE Transactions on Affective Computing (1 paper)The Journal of the Acoustical Society of America (1 paper)Clinical Linguistics & Phonetics (1 paper)
- Partner nations
- United StatesTaiwan
In The Last Decade
Daniel Bone
39 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 79
- Cognitive Neuroscience 565
- Experimental and Cognitive Psychology 297
- Signal Processing 169
- Applied Psychology 62
- Developmental and Educational Psychology 168
Countries citing papers authored by Daniel Bone
This map shows the geographic impact of Daniel Bone'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 Daniel Bone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Bone more than expected).
Fields of papers citing papers by Daniel Bone
This network shows the impact of papers produced by Daniel Bone. 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 Daniel Bone. The network helps show where Daniel Bone may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Bone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 177 | |
| 2 | 2016 | 156 | |
| 3 | 2014 | 91 | |
| 4 | 2017 | 75 | |
| 5 | 2020 | 53 | |
| 6 | 2014 | 52 | |
| 7 | 2012 | 47 | |
| 8 | 2010 | 45 | |
| 9 | 2014 | 42 | |
| 10 | 2021 | 34 | |
| 11 | 2016 | 32 | |
| 12 | 2011 | 29 | |
| 13 | 2015 | 28 | |
| 14 | 2013 | 25 | |
| 15 | 2011 | 22 | |
| 16 | 2012 | 21 | |
| 17 | 2012 | 21 | |
| 18 | 2015 | 21 | |
| 19 | 2016 | 19 | |
| 20 | 2015 | 15 |
About Daniel Bone
Daniel Bone is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Artificial Intelligence, Developmental and Educational Psychology and Signal Processing, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (18 papers), Speech Recognition and Synthesis (13 papers), Language Development and Disorders (10 papers), Speech and Audio Processing (10 papers), Emotion and Mood Recognition (8 papers), Phonetics and Phonology Research (6 papers), Child Development and Digital Technology (5 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Cognitive Neuroscience (565 citations), Experimental and Cognitive Psychology (297 citations), Signal Processing (169 citations), Applied Psychology (62 citations) and Developmental and Educational Psychology (168 citations). Daniel Bone has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Shrikanth Narayanan, Matthew Black, Chi-Chun Lee, Matthew S. Goodwin, Sungbok Lee, Somer Bishop, Kartik Audhkhasi, Theodora Chaspari, Marian E. Williams and Pat Levitt. Their work appears in journals such as Computer Speech & Language, Journal of Child Psychology and Psychiatry, IEEE Transactions on Affective Computing, The Journal of the Acoustical Society of America and Clinical Linguistics & Phonetics.
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.