Johnson Thie
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
- Human-Computer Interaction top 10%
Papers in
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- Advanced Data Compression Techniques 6
-
- Algorithms and Data Compression 3
- Co-authors
- Nicholas A. Badcock (3 shared papers)Genevieve McArthur (3 shared papers)Peter de Lissa (2 shared papers)Yatin Mahajan (1 shared paper)Petroula Mousikou (1 shared paper)Alexander Klistorner (5 shared papers)Stuart L. Graham (5 shared papers)Yuyi You (3 shared papers)
- Journals
- PeerJ (2 papers)IEEE Transactions on Image Processing (2 papers)Investigative Ophthalmology & Visual Science (2 papers)Documenta Ophthalmologica (2 papers)Vision Research (1 paper)
- Partner nations
- AustraliaUnited Kingdom
In The Last Decade
Johnson Thie
18 papers receiving 673 citations
Peers
Comparison fields: 5 of 100
- Cognitive Neuroscience 351
- Human-Computer Interaction 43
- Experimental and Cognitive Psychology 82
- Signal Processing 51
- Developmental Neuroscience 17
Countries citing papers authored by Johnson Thie
This map shows the geographic impact of Johnson Thie'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 Johnson Thie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johnson Thie more than expected).
Fields of papers citing papers by Johnson Thie
This network shows the impact of papers produced by Johnson Thie. 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 Johnson Thie. The network helps show where Johnson Thie may publish in the future.
Co-authors
The 14 scholars most cited alongside Johnson Thie, 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 | 2013 | 288 | |
| 2 | 2011 | 113 | |
| 3 | 2015 | 101 | |
| 4 | 2015 | 47 | |
| 5 | 2011 | 25 | |
| 6 | 2012 | 23 | |
| 7 | 2004 | 20 | |
| 8 | 2005 | 17 | |
| 9 | 2012 | 12 | |
| 10 | 2003 | 9 | |
| 11 | REACTOR-NOISE MONITORING FOR MALFUNCTIONS. | 1972 | 9 |
| 12 | 2005 | 7 | |
| 13 | 2005 | 5 | |
| 14 | 1988 | 4 | |
| 15 | 2004 | 2 | |
| 16 | 2004 | 2 | |
| 17 | 2004 | 2 | |
| 18 | 2011 | 1 |
About Johnson Thie
Johnson Thie is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Cognitive Neuroscience and Signal Processing, having authored 18 papers that have together received 687 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (6 papers), Video Coding and Compression Technologies (4 papers), Algorithms and Data Compression (3 papers), EEG and Brain-Computer Interfaces (3 papers), Error Correcting Code Techniques (3 papers), Neural dynamics and brain function (2 papers), Neuroscience and Music Perception (2 papers) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Cognitive Neuroscience (351 citations), Human-Computer Interaction (43 citations), Experimental and Cognitive Psychology (82 citations), Signal Processing (51 citations) and Developmental Neuroscience (17 citations). Johnson Thie has collaborated with scholars based in Australia and United Kingdom. Frequent co-authors include Nicholas A. Badcock, Genevieve McArthur, Peter de Lissa, Yatin Mahajan, Petroula Mousikou, Alexander Klistorner, Stuart L. Graham, Yuyi You, David Taubman and Nora Fieder. Their work appears in journals such as PeerJ, IEEE Transactions on Image Processing, Investigative Ophthalmology & Visual Science, Documenta Ophthalmologica and Vision 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.