Andrew Hines
- Computer Networks and Communications top 2%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Co-authors
- Alcardo Alex BarakabitzeArslan AhmadRashid MijumbiNaomi HarteJan SkoglundAnil KokaramDamien P. KellyDeclan Delaney
- Topics
- Speech and Audio Processing (44 papers)Hearing Loss and Rehabilitation (21 papers)Image and Video Quality Assessment (20 papers)
- Cited by
- Signal ProcessingComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Partner nations
- IrelandUnited StatesUnited Kingdom
In The Last Decade
Andrew Hines
77 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Computer Networks and Communications 524
- Signal Processing 427
- Computer Vision and Pattern Recognition 272
- Electrical and Electronic Engineering 257
- Artificial Intelligence 186
Countries citing papers authored by Andrew Hines
This map shows the geographic impact of Andrew Hines'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 Andrew Hines with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Hines more than expected).
Fields of papers citing papers by Andrew Hines
This network shows the impact of papers produced by Andrew Hines. 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 Andrew Hines. The network helps show where Andrew Hines may publish in the future.
Co-authorship network of co-authors of Andrew Hines
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Hines. A scholar is included among the top collaborators of Andrew Hines 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 Andrew Hines. Andrew Hines 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 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 27 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | Exploring Composite Dataset Biases for Heart Sound Classification. | 1 |
| 12 | A Psychologist Chatbot Developing Experience. | 2 |
| 13 | Perception Deception: Audio-Visual Mismatch in Virtual Reality Using The McGurk Effect. | 5 |
| 14 | Exploring a Perceptually-Weighted DNN-based Fusion Model for Speech Separation. | 1 |
| 15 | 25 | |
| 16 | 1 | |
| 17 | 22 | |
| 18 | 3 | |
| 19 | 11 | |
| 20 | 0 |
About Andrew Hines
Andrew Hines is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 87 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech and Audio Processing (44 papers), Hearing Loss and Rehabilitation (21 papers) and Image and Video Quality Assessment (20 papers). The work is most often cited by research in Signal Processing (427 citations), Computer Networks and Communications (524 citations) and Computer Vision and Pattern Recognition (272 citations). Andrew Hines has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Alcardo Alex Barakabitze, Arslan Ahmad, Rashid Mijumbi, Naomi Harte, Jan Skoglund, Anil Kokaram, Damien P. Kelly, Declan Delaney, Andrew S. Allen and Francisco Gortázar. Their work appears in journals such as Scientific Reports, The Journal of the Acoustical Society of America and IEEE Access.
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.