Daniel Bone
Impact in
- Cognitive Neuroscience top 5%
- Autism Spectrum Disorder Research
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- Emotion and Mood Recognition
- Phonetics and Phonology Research
Papers in
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- Emotion and Mood Recognition 16
- Phonetics and Phonology Research 3
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- Autism Spectrum Disorder Research 15
- Co-authors
- Shrikanth Shri Narayanan (37 shared papers)Chi-Chun Lee (12 shared papers)Matthew S. Goodwin (2 shared papers)Sungbok Lee (10 shared papers)Somer L. Bishop (3 shared papers)Kartik Audhkhasi (2 shared papers)Theodora Chaspari (9 shared papers)Pat R. Levitt (4 shared papers)
- Journals
- Computer Speech & Language (2 papers)Clinical Linguistics & Phonetics (1 paper)IEEE Signal Processing Magazine (1 paper)PLoS ONE (1 paper)Journal of Speech Language and Hearing Research (1 paper)
- Partner nations
- United StatesTaiwanAustralia
In The Last Decade
Daniel Bone
38 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 61
- Cognitive Neuroscience 495
- Experimental and Cognitive Psychology 368
- Health Informatics 21
- Health Information Management 47
- Artificial Intelligence 181
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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 180 | |
| 2 | 2016 | 160 | |
| 3 | 2014 | 94 | |
| 4 | 2017 | 76 | |
| 5 | 2014 | 57 | |
| 6 | 2020 | 57 | |
| 7 | 2012 | 50 | |
| 8 | 2010 | 45 | |
| 9 | 2014 | 41 | |
| 10 | 2021 | 36 | |
| 11 | 2016 | 33 | |
| 12 | 2011 | 29 | |
| 13 | 2015 | 29 | |
| 14 | 2013 | 25 | |
| 15 | 2016 | 24 | |
| 16 | 2011 | 22 | |
| 17 | 2012 | 22 | |
| 18 | 2012 | 21 | |
| 19 | 2015 | 21 | |
| 20 | 2016 | 17 |
About Daniel Bone
Daniel Bone is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Artificial Intelligence, Developmental and Educational Psychology and Physiology, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (16 papers), Autism Spectrum Disorder Research (15 papers), Speech Recognition and Synthesis (7 papers), Language Development and Disorders (3 papers), Phonetics and Phonology Research (3 papers), Voice and Speech Disorders (3 papers), Attachment and Relationship Dynamics (2 papers) and Reading and Literacy Development (1 paper). The work is most often cited by research in Cognitive Neuroscience (495 citations), Experimental and Cognitive Psychology (368 citations), Health Informatics (21 citations), Health Information Management (47 citations) and Artificial Intelligence (181 citations). Daniel Bone has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Shrikanth Shri Narayanan, Chi-Chun Lee, Matthew S. Goodwin, Sungbok Lee, Somer L. Bishop, Kartik Audhkhasi, Theodora Chaspari, Pat R. Levitt, Marian E. Williams and Catherine Lord. Their work appears in journals such as Computer Speech & Language, Clinical Linguistics & Phonetics, IEEE Signal Processing Magazine, PLoS ONE 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.