Ciarán Eising
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Image Enhancement Techniques
Papers in
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- Advanced Neural Network Applications 21
- Video Surveillance and Tracking Methods 7
- Advanced Image and Video Retrieval Techniques 4
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- Autonomous Vehicle Technology and Safety 11
- Co-authors
- Senthil Kumar Yogamani (7 shared papers)Varun Ravi Kumar (4 shared papers)Patrick Denny (22 shared papers)Lubna Luxmi Dhirani (5 shared papers)Jonathan Horgan (14 shared papers)Brian Michael Deegan (11 shared papers)Edward Jones (13 shared papers)Martin Glavin (13 shared papers)
In The Last Decade
Ciarán Eising
41 papers receiving 367 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 130
- Instrumentation 13
- Automotive Engineering 45
- Health Information Management 10
- Computer Networks and Communications 53
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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 65 | |
| 2 | 2024 | 58 | |
| 3 | 2023 | 48 | |
| 4 | 2023 | 21 | |
| 5 | 2023 | 15 | |
| 6 | 2024 | 13 | |
| 7 | 2022 | 11 | |
| 8 | 2025 | 11 | |
| 9 | 2023 | 9 | |
| 10 | 2024 | 9 | |
| 11 | 2020 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2023 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2022 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2024 | 5 |
About Ciarán Eising
Ciarán Eising is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Instrumentation, Environmental Engineering and Aerospace Engineering, having authored 55 papers that have together received 388 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (21 papers), Autonomous Vehicle Technology and Safety (11 papers), Video Surveillance and Tracking Methods (7 papers), Remote Sensing and LiDAR Applications (6 papers), Advanced Optical Sensing Technologies (6 papers), Robotics and Sensor-Based Localization (5 papers), Brain Tumor Detection and Classification (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (130 citations), Instrumentation (13 citations), Automotive Engineering (45 citations), Health Information Management (10 citations) and Computer Networks and Communications (53 citations). Ciarán Eising has collaborated with scholars based in Ireland, France and India. Frequent co-authors include Senthil Kumar Yogamani, Varun Ravi Kumar, Patrick Denny, Lubna Luxmi Dhirani, Jonathan Horgan, Brian Michael Deegan, Edward Jones, Martin Glavin, Darragh Mullins and Pepijn W.J. van de Ven. Their work appears in journals such as IEEE Access, IEEE Open Journal of Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems, Sensors and Intelligent Systems with Applications.
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.