M.C. Fairhurst
Impact in
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- Handwritten Text Recognition Techniques
- Image Retrieval and Classification Techniques
- Image Processing and 3D Reconstruction
- Face and Expression Recognition
- Signal Processing top 2%
- Biometric Identification and Security
Papers in
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- Handwritten Text Recognition Techniques 31
- Image Retrieval and Classification Techniques 18
- Image Processing and 3D Reconstruction 11
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- Neural Networks and Applications 49
- Fuzzy Logic and Control Systems 11
- Co-authors
- Fuad RahmanRichard GuestD.L. BissetSanaul HoqueWeiguo ShengMárjory Da Costa‐AbreuYan WangLi Bai
- Journals
- Electronics Letters (17 papers)Pattern Recognition Letters (11 papers)Pattern Recognition (6 papers)Pattern Analysis and Applications (3 papers)International Journal on Document Analysis and Recognition (IJDAR) (2 papers)
- Partner nations
- United KingdomBrazilFrance
In The Last Decade
M.C. Fairhurst
137 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 829
- Signal Processing 267
- Media Technology 205
- Artificial Intelligence 579
- Human-Computer Interaction 81
Countries citing papers authored by M.C. Fairhurst
This map shows the geographic impact of M.C. Fairhurst'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 M.C. Fairhurst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.C. Fairhurst more than expected).
Fields of papers citing papers by M.C. Fairhurst
This network shows the impact of papers produced by M.C. Fairhurst. 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 M.C. Fairhurst. The network helps show where M.C. Fairhurst may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M.C. Fairhurst, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 1 | |
| 2 | 2008 | 28 | |
| 3 | 2005 | 4 | |
| 4 | 2001 | 12 | |
| 5 | 2001 | 32 | |
| 6 | 2000 | 11 | |
| 7 | 1994 | 2 | |
| 8 | 1994 | 8 | |
| 9 | 1992 | 1 | |
| 10 | 1992 | 4 | |
| 11 | 1991 | 1 | |
| 12 | A comparative study of neural network structures for practical application in a pattern recognition environment | 1989 | 3 |
| 13 | 1989 | 1 | |
| 14 | 1988 | 0 | |
| 15 | 1985 | 3 | |
| 16 | 1981 | 0 | |
| 17 | 1980 | 1 | |
| 18 | 1976 | 1 | |
| 19 | 1975 | 3 | |
| 20 | 1970 | 2 |
About M.C. Fairhurst
M.C. Fairhurst is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology and Information Systems, having authored 145 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural Networks and Applications (49 papers), Handwritten Text Recognition Techniques (31 papers), Image Retrieval and Classification Techniques (18 papers), Biometric Identification and Security (16 papers), User Authentication and Security Systems (14 papers), Spatial Neglect and Hemispheric Dysfunction (12 papers), Fuzzy Logic and Control Systems (11 papers) and Image Processing and 3D Reconstruction (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (829 citations), Signal Processing (267 citations), Media Technology (205 citations), Artificial Intelligence (579 citations) and Human-Computer Interaction (81 citations). M.C. Fairhurst has collaborated with scholars based in United Kingdom, Brazil and France. Frequent co-authors include Fuad Rahman, Richard Guest, D.L. Bisset, Sanaul Hoque, Weiguo Sheng, Márjory Da Costa‐Abreu, Yan Wang, Li Bai, Konstantinos Sirlantzis and Gareth Howells. Their work appears in journals such as Electronics Letters, Pattern Recognition Letters, Pattern Recognition, Pattern Analysis and Applications and International Journal on Document Analysis and Recognition (IJDAR).
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.