Jackson Liscombe
Impact in
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- Emotion and Mood Recognition
- Phonetics and Phonology Research
- Artificial Intelligence top 5%
- Speech and dialogue systems
- Speech Recognition and Synthesis
- Sentiment Analysis and Opinion Mining
- Intelligent Tutoring Systems and Adaptive Learning
Papers in
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- Speech and dialogue systems 20
- Intelligent Tutoring Systems and Adaptive Learning 5
- AI in Service Interactions 2
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- Emotion and Mood Recognition 10
- Co-authors
- Julia Hirschberg (7 shared papers)Jennifer J. Venditti (7 shared papers)Giuseppe Riccardi (2 shared papers)Dilek Zeynep Hakkani-Tür (2 shared papers)David Suendermann (13 shared papers)Roberto Pieraccini (12 shared papers)Keelan Evanini (3 shared papers)Alexander Schmitt (4 shared papers)
- Journals
- Language Resources and Evaluation (2 papers)Journal of Speech Language and Hearing Research (1 paper)Lecture notes in computer science (2 papers)IEEE International Conference on Acoustics Speech and Signal Processing (2 papers)Columbia Academic Commons (Columbia University) (5 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Jackson Liscombe
43 papers receiving 599 citations
Peers
Comparison fields: 5 of 37
- Experimental and Cognitive Psychology 275
- Artificial Intelligence 338
- Language and Linguistics 37
- Computer Science Applications 11
- Neurology 23
Countries citing papers authored by Jackson Liscombe
This map shows the geographic impact of Jackson Liscombe'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 Jackson Liscombe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jackson Liscombe more than expected).
Fields of papers citing papers by Jackson Liscombe
This network shows the impact of papers produced by Jackson Liscombe. 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 Jackson Liscombe. The network helps show where Jackson Liscombe may publish in the future.
Co-authors
The 25 scholars most cited alongside Jackson Liscombe, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 81 | |
| 2 | 2003 | 79 | |
| 3 | 2005 | 72 | |
| 4 | 2003 | 71 | |
| 5 | 2005 | 62 | |
| 6 | 2009 | 32 | |
| 7 | 2009 | 30 | |
| 8 | 2021 | 24 | |
| 9 | 2008 | 22 | |
| 10 | 2008 | 17 | |
| 11 | 2019 | 12 | |
| 12 | 2009 | 11 | |
| 13 | 2010 | 11 | |
| 14 | 2006 | 10 | |
| 15 | 2006 | 10 | |
| 16 | 2009 | 8 | |
| 17 | 2009 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2006 | 7 | |
| 20 | 2008 | 7 |
About Jackson Liscombe
Jackson Liscombe is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Physiology, Neurology and Psychiatry and Mental health, having authored 44 papers that have together received 664 indexed citations. Recurring topics across this work include Speech and dialogue systems (20 papers), Emotion and Mood Recognition (10 papers), Voice and Speech Disorders (6 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers), Telemedicine and Telehealth Implementation (2 papers), Dementia and Cognitive Impairment Research (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers) and AI in Service Interactions (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (275 citations), Artificial Intelligence (338 citations), Language and Linguistics (37 citations), Computer Science Applications (11 citations) and Neurology (23 citations). Jackson Liscombe has collaborated with scholars based in United States and Germany. Frequent co-authors include Julia Hirschberg, Jennifer J. Venditti, Giuseppe Riccardi, Dilek Zeynep Hakkani-Tür, David Suendermann, Roberto Pieraccini, Keelan Evanini, Alexander Schmitt, Michael Neumann and Hardik Kothare. Their work appears in journals such as Language Resources and Evaluation, Journal of Speech Language and Hearing Research, Lecture notes in computer science, IEEE International Conference on Acoustics Speech and Signal Processing and Columbia Academic Commons (Columbia University).
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.