Anthony Quinn
- Artificial Intelligence top 5%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Human-Computer Interaction top 5%
- Co-authors
- Václav ŠmídlMiroslav KárnýSteve BenfordRichard MortierBoriana KolevaW D McCombStefan Rennick‐EgglestoneShakir Ali
- Topics
- Target Tracking and Data Fusion in Sensor Networks (12 papers)Gaussian Processes and Bayesian Inference (12 papers)Bayesian Methods and Mixture Models (8 papers)
- Journals
- IEEE Transactions on Signal ProcessingInformation SciencesPhysica A Statistical Mechanics and its Applications
- Partner nations
- IrelandCzechiaUnited Kingdom
In The Last Decade
Anthony Quinn
51 papers receiving 669 citations
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 382
- Control and Systems Engineering 140
- Computer Vision and Pattern Recognition 98
- Signal Processing 92
- Human-Computer Interaction 57
Countries citing papers authored by Anthony Quinn
This map shows the geographic impact of Anthony Quinn'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 Anthony Quinn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony Quinn more than expected).
Fields of papers citing papers by Anthony Quinn
This network shows the impact of papers produced by Anthony Quinn. 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 Anthony Quinn. The network helps show where Anthony Quinn may publish in the future.
Co-authorship network of co-authors of Anthony Quinn
This figure shows the co-authorship network connecting the top 25 collaborators of Anthony Quinn. A scholar is included among the top collaborators of Anthony Quinn 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 Anthony Quinn. Anthony Quinn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 14 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | AWSum: Combining classification with knowledge aquisition | 1 |
| 12 | 2 | |
| 13 | Classification for accuracy and insight: a weighted sum approach | 8 |
| 14 | 1 | |
| 15 | The Variational Bayes Method in Signal Processing (Signals and Communication Technology) | 27 |
| 16 | 4 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 7 |
About Anthony Quinn
Anthony Quinn is a scholar working on Artificial Intelligence, Signal Processing and Human-Computer Interaction, having authored 54 papers that have together received 698 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (12 papers), Gaussian Processes and Bayesian Inference (12 papers) and Bayesian Methods and Mixture Models (8 papers). The work is most often cited by research in Artificial Intelligence (382 citations), Human-Computer Interaction (57 citations) and Signal Processing (92 citations). Anthony Quinn has collaborated with scholars based in Ireland, Czechia and United Kingdom. Frequent co-authors include Václav Šmídl, Miroslav Kárný, Steve Benford, Richard Mortier, Boriana Koleva, W D McComb, Stefan Rennick‐Egglestone, Shakir Ali, Erik Clark and L. R. Rabiner. Their work appears in journals such as IEEE Transactions on Signal Processing, Information Sciences and Physica A Statistical Mechanics and its 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.