Panos Liatsis

3.1k total citations
160 papers, 2.2k citations indexed

About

Panos Liatsis is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Panos Liatsis has authored 160 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 37 papers in Artificial Intelligence and 32 papers in Electrical and Electronic Engineering. Recurrent topics in Panos Liatsis's work include Electrical and Bioimpedance Tomography (18 papers), Neural Networks and Applications (15 papers) and Retinal Imaging and Analysis (13 papers). Panos Liatsis is often cited by papers focused on Electrical and Bioimpedance Tomography (18 papers), Neural Networks and Applications (15 papers) and Retinal Imaging and Analysis (13 papers). Panos Liatsis collaborates with scholars based in United Kingdom, United Arab Emirates and Brazil. Panos Liatsis's co-authors include Abir Hussain, John Y. Goulermas, Lambros Ekonomou, Stylianos Sp. Pappas, Sokratis Katsikas, Aura Conci, George E. Chatzarakis, D.C. Karamousantas, Wasiq Khan and Érick Oliveira Rodrigues and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Panos Liatsis

148 papers receiving 2.1k citations

Peers

Panos Liatsis

EEE

CVPR

RNMI

Bo Chen China

Eyad Elyan United Kingdom

Tao Song China

Tareq Abed Mohammed Iraq

Ying Chen China

Saad Al-Azawi Iraq

Saad Albawi Iraq

Yongqiang Cheng China

Peng Wang China

Akash Kumar Bhoi India

Bo Chen China

Panos Liatsis

538 ×1.1

211 ×0.4

EEE

542 ×1.3

CVPR

122 ×0.4

RNMI

456 ×1.6

Citations per year, relative to Panos Liatsis Panos Liatsis (= 1×) peers Bo Chen

Countries citing papers authored by Panos Liatsis

Since Specialization

Citations

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

Fields of papers citing papers by Panos Liatsis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panos Liatsis

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

All Works

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20 of 20 papers shown

Alkhodari, Mohanad, et al.. (2025). Enhancing CCTA image quality: a review of deep learning approaches for advanced artifact correction and denoising. Artificial Intelligence Review. 58(10).

Al-Marzouqi, Hasan, et al.. (2025). Kolmogorov-Arnold Vision Transformer for Image Reconstruction in Lung Electrical Impedance Tomography. IEEE Open Journal of the Computer Society. 6. 519–530. 1 indexed citations

Xie, Gongnan, et al.. (2025). Fourier Neural Operator-driven transient analysis and control for supercritical CO2 cycles. Energy. 323. 135828–135828. 1 indexed citations

Al‐Jumeily, Dhiya, et al.. (2024). A generative approach to Electrical Impedance Tomography image reconstruction using prior information. 1–5. 1 indexed citations

Liatsis, Panos, et al.. (2024). Deep Hypercomplex Networks for Spatiotemporal Data Processing: Parameter efficiency and superior performance. IEEE Signal Processing Magazine. 41(3). 101–112. 5 indexed citations

Liatsis, Panos, et al.. (2024). A Quadruple-Sweep Bioimpedance Sensing Method for Arterial Stenosis Detection. IEEE Access. 12. 18594–18605. 2 indexed citations

Hussien, Aseel, Wasiq Khan, Abir Hussain, et al.. (2023). Predicting energy performances of buildings' envelope wall materials via the random forest algorithm. Journal of Building Engineering. 69. 106263–106263. 23 indexed citations

Al-Marzouqi, Hasan, et al.. (2023). A Novel Transformer Network With Shifted Window Cross-Attention for Spatiotemporal Weather Forecasting. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 45–55. 13 indexed citations

Liatsis, Panos, et al.. (2023). Marine Debris Segmentation Using a Parameter Efficient Octonion-Based Architecture. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 5 indexed citations

10.

Natalia, Friska, et al.. (2023). Semantic Segmentation and Depth Estimation of Urban Road Scene Images Using Multi-Task Networks. Liverpool John Moores University. 469–474. 2 indexed citations

11.

Günister, Ebru, et al.. (2020). Materials Selection and Characterization of Fabric Membrane in Tactile Sensoring. 19. 1–7. 1 indexed citations

12.

Fan, Pingzhi, et al.. (2019). A Task Scheduling Algorithm With Improved Makespan Based on Prediction of Tasks Computation Time algorithm for Cloud Computing. IEEE Access. 7. 160916–160926. 70 indexed citations

13.

Uus, Alena, et al.. (2014). The impact of boundary conditions in patient-specific coronary blood flow simulation. International Conference on Systems, Signals and Image Processing. 35–38. 2 indexed citations

14.

Liatsis, Panos, et al.. (2012). Retinal vessel segmentation in fluorescein angiograms using a commitee of local experts. International Conference on Systems, Signals and Image Processing. 240–243. 1 indexed citations

15.

Liatsis, Panos, et al.. (2011). Localization of optic disc in fluorescein angiography images. International Conference on Systems, Signals and Image Processing. 1–4. 2 indexed citations

16.

Tran, Quang D. & Panos Liatsis. (2011). Optimal weight selection in matching score fusion based Face Recognition. International Conference on Systems, Signals and Image Processing. 1–4. 1 indexed citations

17.

Uus, Alena & Panos Liatsis. (2011). Singular Spectrum Analysis for detection of abnormalities in periodic biosignals. International Conference on Systems, Signals and Image Processing. 1–4. 3 indexed citations

18.

Goulermas, John Y., Andrew H. Findlow, Christopher Nester, et al.. (2008). An Instance-Based Algorithm With Auxiliary Similarity Information for the Estimation of Gait Kinematics From Wearable Sensors. IEEE Transactions on Neural Networks. 19(9). 1574–1582. 23 indexed citations

19.

Ekonomou, Lambros, Panos Liatsis, Ioannis F. Gonos, & I.A. Stathopulos. (2006). Artificial neural network-based software tool for calculating the lightning performance of high-voltage transmission lines. IEE Proceedings - Science Measurement and Technology. 153(5). 188–193. 5 indexed citations

20.

Mertzios, B.G. & Panos Liatsis. (1996). Proceedings IWISP '96, 4-7 November 1996; Manchester, UK: Third International Workshop on Image and Signal Processing on the Theme of Advances in Computational Intelligence. Elsevier eBooks. 1 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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