Noel E. O’Connor

650 citations
11 papers · 264 · h-index 5

Impact in

    • Advanced Image and Video Retrieval Techniques
    • Medical Image Segmentation Techniques
    • Advanced Neural Network Applications
    • Visual Attention and Saliency Detection
    • Image Retrieval and Classification Techniques
    • Video Analysis and Summarization
    • Multimodal Machine Learning Applications

Papers in

Noel E. O’Connor

9 papers receiving 254 citations

Peers

Noel E. O’Connor
Comparison fields: 5 of 59
  • Computer Vision and Pattern Recognition 205
  • Media Technology 26
  • Space and Planetary Science 2
  • Radiology, Nuclear Medicine and Imaging 26
  • Human-Computer Interaction 6
Replace Dong Shen with:
Dong Shen China
Mridul Ghosh India
Edouard Oyallon France
Daniele Borghesani Italy
Christoph Schied Germany
Toshanlal Meenpal India
Philip Torr United Kingdom
Daoye Wang Switzerland
Yuanfeng Ji China
Vinh-Tiep Nguyen Vietnam
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Citations per field
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Citations per year

Countries citing papers authored by Noel E. O’Connor

Since Specialization
Citations

This map shows the geographic impact of Noel E. O’Connor'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 Noel E. O’Connor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noel E. O’Connor more than expected).

Fields of papers citing papers by Noel E. O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noel E. O’Connor. 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 Noel E. O’Connor. The network helps show where Noel E. O’Connor may publish in the future.

Co-authors

The 16 scholars most cited alongside Noel E. O’Connor, 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 Noel E. O’Connor Line = papers co-authored together Noel E. O’Connor links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2009205
2 200716
3 202415
4 200312
5 20095
6 20144
7 20083
8
A hybrid method for indoor user localisation
20092
9 20122
10 20240
11 20250

About Noel E. O’Connor

Noel E. O’Connor is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Mathematical Physics, having authored 11 papers that have together received 264 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (4 papers), Video Analysis and Summarization (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Video Surveillance and Tracking Methods (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Robotics and Sensor-Based Localization (1 paper), Medical Image Segmentation Techniques (1 paper) and Advanced X-ray and CT Imaging (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (205 citations), Media Technology (26 citations), Space and Planetary Science (2 citations), Radiology, Nuclear Medicine and Imaging (26 citations) and Human-Computer Interaction (6 citations). Noel E. O’Connor has collaborated with scholars based in Ireland, Spain and United States. Frequent co-authors include Kevin McGuinness, Kathleen M. Curran, Ioannis Kompatsiaris, M.G. Strintzis, Josep R. Casas, Pierangelo Migliorati, Ebroul Izquierdo, Suzanne Little, Eric Arazo and Riccardo Leonardi. Their work appears in journals such as Pattern Recognition, Computer Vision and Image Understanding, IEEE Transactions on Circuits and Systems for Video Technology, Dublin City University Open Access Institutional Repository (Dublin City University) and Arrow@dit (Dublin Institute of Technology).

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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