E. Hines
Impact in
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- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
- Image and Signal Denoising Methods
- Advanced Data Compression Techniques
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- Brain Tumor Detection and Classification
Papers in
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- Advanced Data Compression Techniques 2
- Face and Expression Recognition 1
- Image and Signal Denoising Methods 1
- Software 1
- Co-authors
- R. Devi (1 shared paper)S. Ramathilagam (1 shared paper)S. R. KANNAN (1 shared paper)Denis Anthony (2 shared papers)Dane Taylor (2 shared papers)Richard Napier (1 shared paper)Reza Ghaffari (1 shared paper)Daciana D. Iliescu (2 shared papers)
- Journals
- Journal of Systems and Software (1 paper)IGI Global eBooks (1 paper)
- Partner nations
- United KingdomIndia
In The Last Decade
E. Hines
7 papers receiving 53 citations
Peers
Comparison fields: 5 of 35
- Computer Vision and Pattern Recognition 35
- Neurology 9
- Urban Studies 5
- Artificial Intelligence 28
- Medical Laboratory Technology 1
Countries citing papers authored by E. Hines
This map shows the geographic impact of E. Hines'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 E. Hines with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Hines more than expected).
Fields of papers citing papers by E. Hines
This network shows the impact of papers produced by E. Hines. 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 E. Hines. The network helps show where E. Hines may publish in the future.
Co-authors
The 14 scholars most cited alongside E. Hines, 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 | 2011 | 33 | |
| 2 | 1990 | 15 | |
| 3 | A study of data compression using neural networks and principal component analysis (of pulmonary scintigrams) | 1989 | 4 |
| 4 | 2011 | 3 | |
| 5 | On the development of a high quality software design methodology for automotive applications | 1990 | 2 |
| 6 | Application of logical neural networks to the analysis of single photon emission tomography images | 1992 | 1 |
| 7 | 2013 | 1 | |
| 8 | 2013 | 0 |
About E. Hines
E. Hines is a scholar working on Computer Vision and Pattern Recognition, Software, Media Technology, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 8 papers that have together received 59 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (2 papers), Neural Networks and Applications (2 papers), Face and Expression Recognition (1 paper), Medical Imaging and Analysis (1 paper), Image and Signal Denoising Methods (1 paper), Mass Spectrometry Techniques and Applications (1 paper), Formal Methods in Verification (1 paper) and Pesticide Residue Analysis and Safety (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (35 citations), Neurology (9 citations), Urban Studies (5 citations), Artificial Intelligence (28 citations) and Medical Laboratory Technology (1 citation). E. Hines has collaborated with scholars based in United Kingdom and India. Frequent co-authors include R. Devi, S. Ramathilagam, S. R. KANNAN, Denis Anthony, Dane Taylor, Richard Napier, Reza Ghaffari, Daciana D. Iliescu, Mark Stephen Leeson and Robert Sneath. Their work appears in journals such as Journal of Systems and Software and IGI Global eBooks.
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.