Ciarán Eising
Impact in
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- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Image Enhancement Techniques
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- Autonomous Vehicle Technology and Safety
Papers in
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- Advanced Neural Network Applications 19
- Video Surveillance and Tracking Methods 5
- Optical measurement and interference techniques 4
- Visual Attention and Saliency Detection 3
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- Autonomous Vehicle Technology and Safety 10
- Co-authors
- Senthil Yogamani (5 shared papers)Varun Ravi Kumar (3 shared papers)Patrick Denny (18 shared papers)Lubna Luxmi Dhirani (4 shared papers)Martin Glavin (12 shared papers)Edward Jones (12 shared papers)Jonathan Horgan (11 shared papers)Brian Deegan (9 shared papers)
In The Last Decade
Ciarán Eising
36 papers receiving 284 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 104
- Automotive Engineering 28
- Instrumentation 7
- Building and Construction 26
- Computer Networks and Communications 43
Countries citing papers authored by Ciarán Eising
This map shows the geographic impact of Ciarán Eising'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 Ciarán Eising with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ciarán Eising more than expected).
Fields of papers citing papers by Ciarán Eising
This network shows the impact of papers produced by Ciarán Eising. 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 Ciarán Eising. The network helps show where Ciarán Eising may publish in the future.
Co-authors
The 25 scholars most cited alongside Ciarán Eising, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 56 | |
| 2 | 2024 | 43 | |
| 3 | 2023 | 37 | |
| 4 | 2023 | 19 | |
| 5 | 2023 | 11 | |
| 6 | 2022 | 11 | |
| 7 | 2025 | 8 | |
| 8 | 2024 | 7 | |
| 9 | 2022 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2024 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 4 |
About Ciarán Eising
Ciarán Eising is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Artificial Intelligence, Environmental Engineering and Aerospace Engineering, having authored 47 papers that have together received 295 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (19 papers), Autonomous Vehicle Technology and Safety (10 papers), Remote Sensing and LiDAR Applications (5 papers), Video Surveillance and Tracking Methods (5 papers), Optical measurement and interference techniques (4 papers), Advanced Optical Sensing Technologies (4 papers), Human-Automation Interaction and Safety (3 papers) and Visual Attention and Saliency Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (104 citations), Automotive Engineering (28 citations), Instrumentation (7 citations), Building and Construction (26 citations) and Computer Networks and Communications (43 citations). Ciarán Eising has collaborated with scholars based in Ireland, France and India. Frequent co-authors include Senthil Yogamani, Varun Ravi Kumar, Patrick Denny, Lubna Luxmi Dhirani, Martin Glavin, Edward Jones, Jonathan Horgan, Brian Deegan, Pepijn Van de Ven and Ganesh Sistu. Their work appears in journals such as IEEE Access, IEEE Open Journal of Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems, Intelligent Systems with Applications and Sensors.
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.