Jon Barker
About
In The Last Decade
Jon Barker
124 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Signal Processing 2.8k
- Artificial Intelligence 1.6k
- Cognitive Neuroscience 757
- Computational Mechanics 535
- Computer Vision and Pattern Recognition 365
Countries citing papers authored by Jon Barker
This map shows the geographic impact of Jon Barker'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 Jon Barker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Barker more than expected).
Fields of papers citing papers by Jon Barker
This network shows the impact of papers produced by Jon Barker. 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 Jon Barker. The network helps show where Jon Barker may publish in the future.
Co-authorship network of co-authors of Jon Barker
This figure shows the co-authorship network connecting the top 25 collaborators of Jon Barker. A scholar is included among the top collaborators of Jon Barker 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 Jon Barker. Jon Barker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 15 | |
| 5 | 13 | |
| 6 | 42 | |
| 7 | 0 | |
| 8 | 35 | |
| 9 | 8 | |
| 10 | Deep Learning of Articulatory-Based Representations and Applications for Improving Dysarthric Speech Recognition. | 18 |
| 11 | Investigating the impact of artificial enhancement of lip visibility on the intelligibility of spectrally-distorted speech. | 1 |
| 12 | 154 | |
| 13 | Distant microphone speech recognition in a noisy indoor environment: combining soft missing data and speech fragment decoding. | 1 |
| 14 | Speaker turn tracking with mobile microphones: Combining location and pitch information | 2 |
| 15 | Audio-Visual Speech Fragment Decoding | 1 |
| 16 | 70 | |
| 17 | 9 | |
| 18 | 11 | |
| 19 | Estimation of speech acoustics from visual speech features: A comparison of linear and non-linear models. | 17 |
| 20 | Is Primitive AV Coherence An Aid To Segment The Scene | 4 |
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.