E. Hines

27.0k citations
8 papers · 51 · h-index 3

Impact in

    • Medical Image Segmentation Techniques
    • Image Retrieval and Classification Techniques
    • Image and Signal Denoising Methods
    • Face and Expression Recognition
    • Advanced Data Compression Techniques
    • Neural Networks and Applications
    • Advanced Clustering Algorithms Research

Papers in

E. Hines

7 papers receiving 46 citations

Peers

E. Hines
Comparison fields: 5 of 29
  • Computer Vision and Pattern Recognition 30
  • Artificial Intelligence 28
  • Urban Studies 5
  • Neurology 6
  • Media Technology 5
Replace Shangyu Chen with:
Shangyu Chen Singapore
Mohammad Al Sa’d United Kingdom
R. St. Denis United Kingdom
Alexander Kalinovsky Belarus
Bingzheng Wei China
Ching-Yao Chuang United States
Ikumi Suzuki Japan
Rao Muhammad Umer Italy
Sen Zha China
Mohammad Pezeshki Iran
E. Hines relative to Shangyu Chen Singapore Shangyu Chen's profile →
Citations per field
00.5×
Shangyu Chen · 1×
Citations per year

Countries citing papers authored by E. Hines

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 12 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.

Border = papers with E. Hines Line = papers co-authored together E. Hines links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 201130
2 199011
3
A study of data compression using neural networks and principal component analysis (of pulmonary scintigrams)
19894
4
On the development of a high quality software design methodology for automotive applications
19902
5
An investigation into the use of neural networks for an expert system in nuclear medicine image analysis
19892
6 20131
7
Application of logical neural networks to the analysis of single photon emission tomography images
19921
8 20130

About E. Hines

E. Hines is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Pharmacology, Pathology and Forensic Medicine and Safety, Risk, Reliability and Quality, having authored 8 papers that have together received 51 indexed citations. Recurring topics across this work include Neural Networks and Applications (2 papers), Advanced Data Compression Techniques (2 papers), Advanced Optical Network Technologies (1 paper), Spine and Intervertebral Disc Pathology (1 paper), Remote-Sensing Image Classification (1 paper), Face and Expression Recognition (1 paper), Musculoskeletal pain and rehabilitation (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (30 citations), Artificial Intelligence (28 citations), Urban Studies (5 citations), Neurology (6 citations) and Media Technology (5 citations). E. Hines has collaborated with scholars based in United Kingdom and India. Frequent co-authors include S. Ramathilagam, R. Devi, S. Kannan, Denis Anthony, Dane Taylor, Duncan Taylor, Daciana Iliescu, Atif Ali Khan, Charles Hutchinson and Robert Sneath. Their work appears in journals such as Journal of Systems and Software.

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.

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