Craig Saunders
Impact in
- Artificial Intelligence top 1%
- Neural Networks and Applications
- Text and Document Classification Technologies
- Machine Learning and Algorithms
- Machine Learning and Data Classification
- Topic Modeling
-
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
Papers in
-
- Topic Modeling 9
- Neural Networks and Applications 8
- Natural Language Processing Techniques 6
- Text and Document Classification Technologies 6
- Algorithms and Data Compression 5
- Machine Learning and Algorithms 4
-
- Image Retrieval and Classification Techniques 8
- Face and Expression Recognition 6
- Co-authors
- Vladimir Vovk (4 shared papers)Alex Gammerman (4 shared papers)John Shawe‐Taylor (16 shared papers)Sándor Szedmák (12 shared papers)Juho Rousu (5 shared papers)Marko Grobelnik (5 shared papers)Steve Gunn (4 shared papers)AJ Smola (1 shared paper)
- Journals
- Journal of Machine Learning Research (2 papers)The Visual Computer (1 paper)Machine Translation (1 paper)Evolutionary Computation (1 paper)NeuroImage (1 paper)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Craig Saunders
44 papers receiving 1.5k citations
Craig Saunders's Hit Papers
Peers
Comparison fields: 5 of 147
- Artificial Intelligence 847
- Computer Vision and Pattern Recognition 502
- Statistics and Probability 88
- Signal Processing 98
- Computational Mathematics 5
Countries citing papers authored by Craig Saunders
This map shows the geographic impact of Craig Saunders'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 Craig Saunders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig Saunders more than expected).
Fields of papers citing papers by Craig Saunders
This network shows the impact of papers produced by Craig Saunders. 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 Craig Saunders. The network helps show where Craig Saunders may publish in the future.
Co-authors
The 25 scholars most cited alongside Craig Saunders, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ridge Regression Learning Algorithm in Dual Variables Hit paper breakdown → | 1998 | 546 |
| 2 | Kernel-Based Learning of Hierarchical Multilabel Classification Models | 2006 | 160 |
| 3 | 2006 | 119 | |
| 4 | Support Vector Machine Reference Manual | 1998 | 102 |
| 5 | Transduction with Confidence and Credibility | 1999 | 86 |
| 6 | Machine-Learning Applications of Algorithmic Randomness | 1999 | 84 |
| 7 | 2010 | 60 | |
| 8 | 2005 | 56 | |
| 9 | Subspace, Latent Structure and Feature Selection techniques | 2006 | 43 |
| 10 | Improving the Confidence of Machine Translation Quality Estimates | 2009 | 43 |
| 11 | 2008 | 36 | |
| 12 | 2010 | 33 | |
| 13 | Syllables and other String Kernel Extensions | 2002 | 19 |
| 14 | String Kernels, Fisher Kernels and Finite State Automata | 2002 | 18 |
| 15 | 2011 | 14 | |
| 16 | The typicalness framework: a comparison with the Bayesian approach | 2004 | 14 |
| 17 | 2021 | 14 | |
| 18 | 2009 | 11 | |
| 19 | Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation | 2011 | 10 |
| 20 | Multiclass classification by L1 norm Support Vector Machine | 2004 | 10 |
About Craig Saunders
Craig Saunders is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Neural Networks and Applications (8 papers), Image Retrieval and Classification Techniques (8 papers), Face and Expression Recognition (6 papers), Natural Language Processing Techniques (6 papers), Text and Document Classification Technologies (6 papers), Algorithms and Data Compression (5 papers) and Machine Learning and Algorithms (4 papers). The work is most often cited by research in Artificial Intelligence (847 citations), Computer Vision and Pattern Recognition (502 citations), Statistics and Probability (88 citations), Signal Processing (98 citations) and Computational Mathematics (5 citations). Craig Saunders has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Vladimir Vovk, Alex Gammerman, John Shawe‐Taylor, Sándor Szedmák, Juho Rousu, Marko Grobelnik, Steve Gunn, AJ Smola, Yizhao Ni and John Ashburner. Their work appears in journals such as Journal of Machine Learning Research, The Visual Computer, Machine Translation, Evolutionary Computation and NeuroImage.
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.