Johnson Thie

976 total citations
18 papers, 676 citations indexed

About

Johnson Thie is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Johnson Thie has authored 18 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Johnson Thie's work include Advanced Data Compression Techniques (6 papers), Neural dynamics and brain function (4 papers) and EEG and Brain-Computer Interfaces (4 papers). Johnson Thie is often cited by papers focused on Advanced Data Compression Techniques (6 papers), Neural dynamics and brain function (4 papers) and EEG and Brain-Computer Interfaces (4 papers). Johnson Thie collaborates with scholars based in Australia and United Kingdom. Johnson Thie's co-authors include Nicholas A. Badcock, Genevieve McArthur, Peter de Lissa, Petroula Mousikou, Yatin Mahajan, Alexander Klistorner, Stuart L. Graham, Yuyi You, David Taubman and Bianca De Wit and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Vision Research.

In The Last Decade

Johnson Thie

18 papers receiving 662 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Johnson Thie Australia 10 379 100 90 65 63 18 676
Oliver Hinds United States 9 864 2.3× 52 0.5× 61 0.7× 43 0.7× 64 1.0× 14 1.2k
Toshihiro Kitama Japan 18 545 1.4× 122 1.2× 53 0.6× 73 1.1× 33 0.5× 37 862
Choongkil Lee South Korea 11 679 1.8× 181 1.8× 113 1.3× 68 1.0× 49 0.8× 23 827
Reza Farivar Canada 14 525 1.4× 173 1.7× 41 0.5× 71 1.1× 42 0.7× 47 902
Konstantin Tziridis Germany 18 635 1.7× 63 0.6× 51 0.6× 61 0.9× 11 0.2× 49 965
Bernhard Treutwein Germany 12 872 2.3× 92 0.9× 183 2.0× 48 0.7× 61 1.0× 19 1.1k
Madoka Moriya Japan 6 686 1.8× 130 1.3× 65 0.7× 57 0.9× 98 1.6× 7 756
Benoit R. Cottereau France 20 1.4k 3.8× 203 2.0× 148 1.6× 100 1.5× 71 1.1× 57 1.6k
Jian Ding United States 16 1.4k 3.8× 257 2.6× 71 0.8× 153 2.4× 98 1.6× 53 1.7k
Michael R. Clark United States 12 1.0k 2.7× 130 1.3× 102 1.1× 112 1.7× 96 1.5× 21 1.5k

Countries citing papers authored by Johnson Thie

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Johnson Thie

This figure shows the co-authorship network connecting the top 25 collaborators of Johnson Thie. A scholar is included among the top collaborators of Johnson Thie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Johnson Thie. Johnson Thie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Lissa, Peter de, et al.. (2015). Measuring the face-sensitive N170 with a gaming EEG system: A validation study. Journal of Neuroscience Methods. 253. 47–54. 47 indexed citations
2.
Badcock, Nicholas A., et al.. (2015). Validation of the Emotiv EPOC EEG system for research quality auditory event-related potentials in children. PeerJ. 3. e907–e907. 99 indexed citations
3.
Badcock, Nicholas A., Petroula Mousikou, Yatin Mahajan, et al.. (2013). Validation of the Emotiv EPOC ® EEG gaming system for measuring research quality auditory ERPs. PeerJ. 1. e38–e38. 285 indexed citations
4.
Thie, Johnson, Alexander Klistorner, & Stuart L. Graham. (2012). Biomedical signal acquisition with streaming wireless communication for recording evoked potentials. Documenta Ophthalmologica. 125(2). 149–159. 12 indexed citations
5.
You, Yuyi, Johnson Thie, Alexander Klistorner, Vivek Gupta, & Stuart L. Graham. (2012). Normalization of Visual Evoked Potentials Using Underlying Electroencephalogram Levels Improves Amplitude Reproducibility in Rats. Investigative Ophthalmology & Visual Science. 53(3). 1473–1473. 23 indexed citations
6.
You, Yuyi, Alexander Klistorner, Johnson Thie, & Stuart L. Graham. (2011). Improving reproducibility of VEP recording in rats: electrodes, stimulus source and peak analysis. Documenta Ophthalmologica. 123(2). 109–119. 25 indexed citations
7.
Thie, Johnson, et al.. (2011). Gaussian wavelet transform and classifier to reliably estimate latency of multifocal visual evoked potentials (mfVEP). Vision Research. 52(1). 79–87. 1 indexed citations
8.
You, Yuyi, Alexander Klistorner, Johnson Thie, & Stuart L. Graham. (2011). Latency Delay of Visual Evoked Potential Is a Real Measurement of Demyelination in a Rat Model of Optic Neuritis. Investigative Ophthalmology & Visual Science. 52(9). 6911–6911. 107 indexed citations
9.
Thie, Johnson & David Taubman. (2005). Optimal erasure protection strategy for scalably compressed data with tree-structured dependencies. IEEE Transactions on Image Processing. 14(12). 2002–2011. 7 indexed citations
10.
Taubman, David & Johnson Thie. (2005). Optimal erasure protection for scalably compressed video streams with limited retransmission. IEEE Transactions on Image Processing. 14(8). 1006–1019. 17 indexed citations
11.
Thie, Johnson & David Taubman. (2005). Optimal erasure protection for scalably compressed video streams with limited retransmission on channels with IID and bursty loss characteristics. Signal Processing Image Communication. 20(8). 697–709. 5 indexed citations
12.
Thie, Johnson & David Taubman. (2004). Optimal Erasure Protection Assignment for Scalable Compressed Data with Small Channel Packets and Short Channel Codewords. SHILAP Revista de lepidopterología. 2 indexed citations
13.
Thie, Johnson & David Taubman. (2004). Optimal erasure protection assignment for scalable compressed images with tree-structured dependencies. 2. III–485. 2 indexed citations
14.
Thie, Johnson & David Taubman. (2004). Optimal Erasure Protection Assignment for Scalable Compressed Data with Small Channel Packets and Short Channel Codewords. EURASIP Journal on Advances in Signal Processing. 2004(2). 20 indexed citations
15.
Thie, Johnson. (2004). Optimal erasure protection assignment for scalably compressed data over packet-based networks. UNSWorks (UNSW Sydney). 2 indexed citations
16.
Thie, Johnson & David Taubman. (2003). Optimal protection assignment for scalable compressed images. Proceedings - International Conference on Image Processing. 1. 713–716. 9 indexed citations
17.
Hashemian, H.M., Johnson Thie, & B.R. Upadhyaya. (1988). Reactor Sensor Surveillance Using Noise Analysis. Nuclear Science and Engineering. 98(2). 96–102. 4 indexed citations
18.
Thie, Johnson. (1972). REACTOR-NOISE MONITORING FOR MALFUNCTIONS.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 9 indexed citations

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.

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