Donn Morrison
Impact in
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- Emotion and Mood Recognition
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
Papers in ⓘ
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- Image Retrieval and Classification Techniques 4
- Face and Expression Recognition 2
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- Speech and Audio Processing 4
- Music and Audio Processing 2
- Co-authors
- Liyanage C. De Silva (5 shared papers)Ruili Wang (3 shared papers)Yaman Umuroglu (1 shared paper)Magnus Jahre (1 shared paper)Éric Bruno (6 shared papers)Stéphane Marchand‐Maillet (6 shared papers)Wei Xu (2 shared papers)Conor Hayes (3 shared papers)
- Journals
- Future Internet (1 paper)Journal of Network and Computer Applications (1 paper)Speech Communication (1 paper)Multimedia Tools and Applications (1 paper)International Journal of Intelligent Systems Technologies and Applications (1 paper)
- Partner nations
- SwitzerlandNew ZealandNorway
In The Last Decade
Donn Morrison
16 papers receiving 297 citations
Peers
Comparison fields: 5 of 43
- Experimental and Cognitive Psychology 200
- Signal Processing 150
- Computer Vision and Pattern Recognition 112
- Pharmacy 26
- Artificial Intelligence 134
Countries citing papers authored by Donn Morrison
This map shows the geographic impact of Donn Morrison'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 Donn Morrison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donn Morrison more than expected).
Fields of papers citing papers by Donn Morrison
This network shows the impact of papers produced by Donn Morrison. 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 Donn Morrison. The network helps show where Donn Morrison may publish in the future.
Co-authors
The 12 scholars most cited alongside Donn Morrison, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 210 | |
| 2 | 2015 | 30 | |
| 3 | 2006 | 18 | |
| 4 | 2009 | 13 | |
| 5 | 2005 | 13 | |
| 6 | 2005 | 8 | |
| 7 | 2007 | 6 | |
| 8 | Here, have an upvote: Communication behaviour and karma on Reddit | 2013 | 4 |
| 9 | 2010 | 3 | |
| 10 | 2008 | 3 | |
| 11 | 2012 | 2 | |
| 12 | 2020 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2012 | 1 | |
| 15 | 2011 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2021 | 0 | |
| 18 | 2021 | 0 | |
| 19 | 2010 | 0 |
About Donn Morrison
Donn Morrison is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Experimental and Cognitive Psychology and Information Systems, having authored 19 papers that have together received 316 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (5 papers), Image Retrieval and Classification Techniques (4 papers), Speech and Audio Processing (4 papers), Face and Expression Recognition (2 papers), Caching and Content Delivery (2 papers), Music and Audio Processing (2 papers), Complex Network Analysis Techniques (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (200 citations), Signal Processing (150 citations), Computer Vision and Pattern Recognition (112 citations), Pharmacy (26 citations) and Artificial Intelligence (134 citations). Donn Morrison has collaborated with scholars based in Switzerland, New Zealand and Norway. Frequent co-authors include Liyanage C. De Silva, Ruili Wang, Yaman Umuroglu, Magnus Jahre, Éric Bruno, Stéphane Marchand‐Maillet, Wei Xu, Conor Hayes, Theodora Tsikrika and Arjen P. de Vries. Their work appears in journals such as Future Internet, Journal of Network and Computer Applications, Speech Communication, Multimedia Tools and Applications and International Journal of Intelligent Systems Technologies and Applications.
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.