David R. Hardoon
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Signal Processing top 2%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Co-authors
- John Shawe‐TaylorSándor SzedmákHongying MengJason FarquharJanaı́na Mourão-MirandaMichael BrammerLarry M. ManevitzTom Diethe
- Topics
- Face and Expression Recognition (12 papers)Blind Source Separation Techniques (9 papers)Neural Networks and Applications (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeuroImageIEEE Transactions on Information Theory
- Partner nations
- United KingdomSingaporeUnited States
In The Last Decade
David R. Hardoon
39 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Computer Vision and Pattern Recognition 1.8k
- Artificial Intelligence 1.3k
- Signal Processing 452
- Cognitive Neuroscience 357
- Molecular Biology 248
Countries citing papers authored by David R. Hardoon
This map shows the geographic impact of David R. Hardoon'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 David R. Hardoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David R. Hardoon more than expected).
Fields of papers citing papers by David R. Hardoon
This network shows the impact of papers produced by David R. Hardoon. 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 David R. Hardoon. The network helps show where David R. Hardoon may publish in the future.
Co-authorship network of co-authors of David R. Hardoon
This figure shows the co-authorship network connecting the top 25 collaborators of David R. Hardoon. A scholar is included among the top collaborators of David R. Hardoon 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 David R. Hardoon. David R. Hardoon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Overcoming Status Quo Bias: Nudging in a Government-Led Digital Transformation Initiative | 4 |
| 2 | 12 | |
| 3 | 5 | |
| 4 | 104 | |
| 5 | 2010 IEEE RADAR CONFERENCE | 3 |
| 6 | 38 | |
| 7 | 10 | |
| 8 | Matching Pursuit Kernel Fisher Discriminant Analysis | 4 |
| 9 | PAC-Bayes Analysis Of Maximum Entropy Classification | 6 |
| 10 | 20 | |
| 11 | 49 | |
| 12 | A metamorphosis of Canonical Correlation Analysis into Multivariate Maximum Margin Learning | 11 |
| 13 | Information Retrieval by Inferring Implicit Queries from Eye Movements | 22 |
| 14 | 75 | |
| 15 | Two view learning: SVM-2K, Theory and Practice | 246 |
| 16 | fMRI analysis via one-class machine learning techniques | 17 |
| 17 | One-class Machine Learning Approach for fMRI Analysis | 5 |
| 18 | KCCA Feature Selection for fMRI Analysis | 2 |
| 19 | 39 | |
| 20 | Signal Extraction for Brain-Computer Interface | 2 |
About David R. Hardoon
David R. Hardoon is a scholar working on Computational Mathematics, Signal Processing and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 3.4k indexed citations. Recurring topics across this work include Face and Expression Recognition (12 papers), Blind Source Separation Techniques (9 papers) and Neural Networks and Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Computational Mathematics (39 citations) and Signal Processing (452 citations). David R. Hardoon has collaborated with scholars based in United Kingdom, Singapore and United States. Frequent co-authors include John Shawe‐Taylor, Sándor Szedmák, Hongying Meng, Jason Farquhar, Janaı́na Mourão-Miranda, Michael Brammer, Larry M. Manevitz, Tom Diethe, Shiliang Sun and Steven Williams. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and IEEE Transactions on Information Theory.
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.