K.M. Curtis
Impact in
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- Image Retrieval and Classification Techniques
- Advanced Neural Network Applications
- Advanced Data Compression Techniques
- Image and Signal Denoising Methods
- Video Analysis and Summarization
- Artificial Intelligence top 10%
- Neural Networks and Applications
Papers in
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- Neural Networks and Applications 17
- Speech Recognition and Synthesis 7
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- Image Retrieval and Classification Techniques 7
- Video Analysis and Summarization 6
- Multimodal Machine Learning Applications 5
- Advanced Image and Video Retrieval Techniques 5
- Co-authors
- Barrie Hayes‐Gill (7 shared papers)Michael P. Craven (8 shared papers)Adnan Khashman (4 shared papers)Athanassios Skodras (1 shared paper)Gareth J. F. Jones (3 shared papers)Nick Campbell (2 shared papers)John Orton (4 shared papers)Mark G. Kelly (2 shared papers)
- Journals
- Electronics Letters (3 papers)Pattern Recognition (1 paper)IEEE Transactions on Consumer Electronics (1 paper)Computers & Electrical Engineering (1 paper)Plant Cell Reports (1 paper)
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
K.M. Curtis
43 papers receiving 326 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 162
- Artificial Intelligence 170
- Signal Processing 52
- Hardware and Architecture 21
- Mathematical Physics 19
Countries citing papers authored by K.M. Curtis
This map shows the geographic impact of K.M. Curtis'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 K.M. Curtis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K.M. Curtis more than expected).
Fields of papers citing papers by K.M. Curtis
This network shows the impact of papers produced by K.M. Curtis. 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 K.M. Curtis. The network helps show where K.M. Curtis may publish in the future.
Co-authors
The 25 scholars most cited alongside K.M. Curtis, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 152 | |
| 2 | 1997 | 47 | |
| 3 | 1994 | 17 | |
| 4 | TRECVID 2018: Benchmarking Video Activity Detection, Video Captioning and Matching, Video Storytelling Linking and Video Search | 2018 | 13 |
| 5 | 2015 | 13 | |
| 6 | 2003 | 9 | |
| 7 | 2009 | 8 | |
| 8 | 2002 | 7 | |
| 9 | 1994 | 7 | |
| 10 | 2002 | 6 | |
| 11 | 2002 | 6 | |
| 12 | 2002 | 5 | |
| 13 | 1991 | 5 | |
| 14 | 2002 | 5 | |
| 15 | 1996 | 5 | |
| 16 | 2004 | 5 | |
| 17 | 2002 | 5 | |
| 18 | 2002 | 4 | |
| 19 | 2002 | 4 | |
| 20 | 1991 | 4 |
About K.M. Curtis
K.M. Curtis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering and Biomedical Engineering, having authored 50 papers that have together received 365 indexed citations. Recurring topics across this work include Neural Networks and Applications (17 papers), Speech Recognition and Synthesis (7 papers), Image Retrieval and Classification Techniques (7 papers), Music and Audio Processing (6 papers), Video Analysis and Summarization (6 papers), Speech and Audio Processing (6 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (162 citations), Artificial Intelligence (170 citations), Signal Processing (52 citations), Hardware and Architecture (21 citations) and Mathematical Physics (19 citations). K.M. Curtis has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Barrie Hayes‐Gill, Michael P. Craven, Adnan Khashman, Athanassios Skodras, Gareth J. F. Jones, Nick Campbell, John Orton, Mark G. Kelly, Halis Altun and V. Fotopoulos. Their work appears in journals such as Electronics Letters, Pattern Recognition, IEEE Transactions on Consumer Electronics, Computers & Electrical Engineering and Plant Cell Reports.
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.