Christos Kyrkou

1.4k total citations
53 papers, 851 citations indexed

About

Christos Kyrkou is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Christos Kyrkou has authored 53 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 18 papers in Electrical and Electronic Engineering and 11 papers in Aerospace Engineering. Recurrent topics in Christos Kyrkou's work include Video Surveillance and Tracking Methods (17 papers), Advanced Neural Network Applications (13 papers) and CCD and CMOS Imaging Sensors (11 papers). Christos Kyrkou is often cited by papers focused on Video Surveillance and Tracking Methods (17 papers), Advanced Neural Network Applications (13 papers) and CCD and CMOS Imaging Sensors (11 papers). Christos Kyrkou collaborates with scholars based in Cyprus, United Kingdom and Spain. Christos Kyrkou's co-authors include Theocharis Theocharides, Panayiotis Kolios, Marios M. Polycarpou, Christos-Savvas Bouganis, Christos G. Panayiotou, Stelios Timotheou, Muhammad Shafique, Muhammad Abdullah Hanif, Faiq Khalid and Alberto Marchisio and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Computers.

In The Last Decade

Christos Kyrkou

50 papers receiving 811 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christos Kyrkou Cyprus 15 467 229 190 159 134 53 851
Anurag Mittal India 16 958 2.1× 333 1.5× 151 0.8× 160 1.0× 208 1.6× 53 1.5k
Jianhua Zou China 16 568 1.2× 176 0.8× 329 1.7× 57 0.4× 203 1.5× 60 1.2k
Yizeng Han China 12 559 1.2× 141 0.6× 361 1.9× 80 0.5× 53 0.4× 22 1.0k
Richard Yi Da Xu Australia 18 592 1.3× 175 0.8× 293 1.5× 107 0.7× 108 0.8× 107 1.1k
Raman Singh India 15 259 0.6× 143 0.6× 369 1.9× 133 0.8× 447 3.3× 56 1.0k
Yao Lu China 15 705 1.5× 51 0.2× 238 1.3× 73 0.5× 84 0.6× 71 914

Countries citing papers authored by Christos Kyrkou

Since Specialization
Citations

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

Fields of papers citing papers by Christos Kyrkou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christos Kyrkou. 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 Christos Kyrkou. The network helps show where Christos Kyrkou may publish in the future.

Co-authorship network of co-authors of Christos Kyrkou

This figure shows the co-authorship network connecting the top 25 collaborators of Christos Kyrkou. A scholar is included among the top collaborators of Christos Kyrkou 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 Christos Kyrkou. Christos Kyrkou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kolios, Panayiotis, et al.. (2025). MultiFire20K: A semi-supervised enhanced large-scale UAV-based benchmark for advancing multi-task learning in fire monitoring. Computer Vision and Image Understanding. 254. 104318–104318. 1 indexed citations
2.
Kyrkou, Christos, et al.. (2025). Efficient Global Neural Architecture Search. SN Computer Science. 6(3).
3.
Kolios, Panayiotis, et al.. (2024). DiRecNetV2: A Transformer-Enhanced Network for Aerial Disaster Recognition. SN Computer Science. 5(6). 4 indexed citations
4.
Kyrkou, Christos, et al.. (2024). Spatiotemporal Object Detection for Improved Aerial Vehicle Detection in Traffic Monitoring. IEEE Transactions on Artificial Intelligence. 5(12). 6159–6171. 1 indexed citations
5.
Kyrkou, Christos, et al.. (2024). Convolutional Channel-Wise Competitive Learning for the Forward-Forward Algorithm. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 14536–14544. 3 indexed citations
6.
Kyrkou, Christos. (2024). Toward Efficient Convolutional Neural Networks With Structured Ternary Patterns. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 5810–5817.
7.
Kyrkou, Christos, et al.. (2023). Introducing Convolutional Channel-wise Goodness in Forward-Forward Learning. Zenodo (CERN European Organization for Nuclear Research). 411–416.
8.
Kyrkou, Christos, et al.. (2023). How High can you Detect? Improved accuracy and efficiency at varying altitudes for Aerial Vehicle Detection. Zenodo (CERN European Organization for Nuclear Research). 167–174. 6 indexed citations
9.
Kamal, Mohsin, Christos Kyrkou, Jordi Casademont, et al.. (2022). A Comprehensive Solution for Securing Connected and Autonomous Vehicles. 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE). 790–795. 5 indexed citations
10.
Conti, Giuseppe, Christos Kyrkou, Theocharis Theocharides, Gustavo Hernández-Peñaloza, & David Jiménez. (2020). Correction to: A novel FPGA-based test-bench framework for SDI stream verification. EURASIP Journal on Image and Video Processing. 2020(1). 1 indexed citations
11.
Kyrkou, Christos, et al.. (2020). Towards Artificial-Intelligence-Based Cybersecurity for Robustifying Automated Driving Systems Against Camera Sensor Attacks. Zenodo (CERN European Organization for Nuclear Research). 476–481. 20 indexed citations
12.
Kyrkou, Christos, Stelios Timotheou, Panayiotis Kolios, Theocharis Theocharides, & Christos G. Panayiotou. (2018). Optimized vision-directed deployment of UAVs for rapid traffic monitoring. Zenodo (CERN European Organization for Nuclear Research). 1–6. 23 indexed citations
13.
Kyrkou, Christos, et al.. (2017). Towards a holistic performance evaluation framework for drone-based object detection. 1785–1793. 15 indexed citations
14.
Kyrkou, Christos, Eftychios G. Christoforou, Stelios Timotheou, et al.. (2017). Optimizing the Detection Performance of Smart Camera Networks Through a Probabilistic Image-Based Model. IEEE Transactions on Circuits and Systems for Video Technology. 28(5). 1197–1211. 10 indexed citations
15.
Kyrkou, Christos, Stelios Timotheou, Theocharis Theocharides, Christos G. Panayiotou, & Marios M. Polycarpou. (2017). Optimizing Multi-Target Detection in Stochastic Environments with Active Smart Camera Networks. Zenodo (CERN European Organization for Nuclear Research). 63–68. 2 indexed citations
16.
17.
Kyrkou, Christos, et al.. (2013). A hardware architecture for real-time object detection using depth and edge information. ACM Transactions on Embedded Computing Systems. 13(3). 1–19. 13 indexed citations
18.
Kyrkou, Christos & Theocharis Theocharides. (2011). A Parallel Hardware Architecture for Real-Time Object Detection with Support Vector Machines. IEEE Transactions on Computers. 61(6). 831–842. 59 indexed citations
19.
Kyrkou, Christos, et al.. (2011). FPGA-Accelerated Object Detection Using Edge Information. 4. 167–170. 9 indexed citations
20.
Kyrkou, Christos, et al.. (2009). FPGA-based NoC-driven sequence of lab assignments for manycore systems. 5–8. 2 indexed citations

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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