Ciarán Eising

115 total papers · 544 total citations
47 papers, 229 citations indexed

About

Ciarán Eising is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Ciarán Eising has authored 47 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 11 papers in Automotive Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Ciarán Eising's work include Advanced Neural Network Applications (19 papers), Autonomous Vehicle Technology and Safety (10 papers) and Video Surveillance and Tracking Methods (5 papers). Ciarán Eising is often cited by papers focused on Advanced Neural Network Applications (19 papers), Autonomous Vehicle Technology and Safety (10 papers) and Video Surveillance and Tracking Methods (5 papers). Ciarán Eising collaborates with scholars based in Ireland, France and India. Ciarán Eising's co-authors include Senthil Yogamani, Varun Ravi Kumar, Patrick Denny, Martin Glavin, Edward Jones, Jonathan Horgan, Lubna Luxmi Dhirani, Brian Deegan, Ganesh Sistu and Pepijn Van de Ven and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Sensors.

In The Last Decade

Ciarán Eising

35 papers receiving 222 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ciarán Eising 98 39 34 33 27 47 229
Wei Li 108 1.1× 26 0.7× 19 0.6× 25 0.8× 20 0.7× 56 273
Rastislav Pirník 55 0.6× 38 1.0× 24 0.7× 28 0.8× 26 1.0× 46 219
Jonathan Horgan 122 1.2× 42 1.1× 19 0.6× 59 1.8× 39 1.4× 27 254
Yantao Lu 88 0.9× 41 1.1× 34 1.0× 37 1.1× 21 0.8× 34 246
Murat Bakırcı 95 1.0× 21 0.5× 23 0.7× 61 1.8× 36 1.3× 47 270
Tariq Rahim 142 1.4× 35 0.9× 70 2.1× 35 1.1× 11 0.4× 31 292
Tao Ma 54 0.6× 77 2.0× 52 1.5× 48 1.5× 22 0.8× 48 305
Chen Zhang 74 0.8× 39 1.0× 14 0.4× 28 0.8× 31 1.1× 31 231
Bogdan Pavković 91 0.9× 29 0.7× 54 1.6× 8 0.2× 23 0.9× 27 220
Yuchen Yang 137 1.4× 32 0.8× 32 0.9× 42 1.3× 16 0.6× 36 275

Countries citing papers authored by Ciarán Eising

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ciarán Eising

This figure shows the co-authorship network connecting the top 25 collaborators of Ciarán Eising. A scholar is included among the top collaborators of Ciarán Eising based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ciarán Eising. Ciarán Eising is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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