Harris Georgiou

724 total citations
19 papers, 366 citations indexed

About

Harris Georgiou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Harris Georgiou has authored 19 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Harris Georgiou's work include AI in cancer detection (7 papers), Data Management and Algorithms (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Harris Georgiou is often cited by papers focused on AI in cancer detection (7 papers), Data Management and Algorithms (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Harris Georgiou collaborates with scholars based in Greece, United States and Germany. Harris Georgiou's co-authors include Sergios Theodoridis, Nikos Dimitropoulos, Michael Mavroforakis, D. Cavouras, Nikos Pelekis, Yannis Theodoridis, Dionisis Cavouras, Eva Chondrodima, Yannis Kopsinis and Ioana Popescu and has published in prestigious journals such as IEEE Access, Computer Methods and Programs in Biomedicine and European Journal of Radiology.

In The Last Decade

Harris Georgiou

18 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Harris Georgiou Greece	10	221	148	112	56	48	19	366
Jinze Liu China	11	265 1.2×	83 0.6×	102 0.9×	38 0.7×	26 0.5×	47	489
Dhirendra Pratap Singh India	11	93 0.4×	100 0.7×	75 0.7×	51 0.9×	65 1.4×	62	456
Ta Zhou China	15	282 1.3×	59 0.4×	190 1.7×	27 0.5×	81 1.7×	54	615
Amirhessam Tahmassebi United States	12	255 1.2×	44 0.3×	225 2.0×	35 0.6×	30 0.6×	40	686
Weiran Huang China	11	258 1.2×	150 1.0×	42 0.4×	88 1.6×	38 0.8×	25	513
Hua Ye China	13	147 0.7×	71 0.5×	95 0.8×	74 1.3×	24 0.5×	24	550
Keming Mao China	11	137 0.6×	105 0.7×	81 0.7×	21 0.4×	58 1.2×	36	363
Jianhua Qu China	10	276 1.2×	76 0.5×	126 1.1×	59 1.1×	52 1.1×	36	707
Yungang Zhang China	13	208 0.9×	407 2.8×	134 1.2×	31 0.6×	61 1.3×	51	712

Countries citing papers authored by Harris Georgiou

Since Specialization

Citations

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

Fields of papers citing papers by Harris Georgiou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harris Georgiou

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

All Works

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19 of 19 papers shown

Kasnesis, Panagiotis, et al.. (2022). MoRSE: Deep Learning-based Arm Gesture Recognition for Search and Rescue Operations. 1–6. 3 indexed citations

Georgiou, Harris, et al.. (2022). Detection of victims with UAVs during wide area Search and Rescue operations. 14–19. 6 indexed citations

Chondrodima, Eva, Harris Georgiou, Nikos Pelekis, & Yannis Theodoridis. (2022). Particle swarm optimization and RBF neural networks for public transport arrival time prediction using GTFS data. International Journal of Information Management Data Insights. 2(2). 100086–100086. 15 indexed citations

Georgiou, Harris, Αναστάσιος Καρακώστας, Panayiota Demosthenous, et al.. (2020). Smart boots, fusion engine and aerial assets for enhanced situational awareness and safety in search & rescue operations. 129–132. 1 indexed citations

Assumpção, Thaine H., Andréja Jonoski, Andreas Kallioras, et al.. (2019). Citizens’ Campaigns for Environmental Water Monitoring: Lessons From Field Experiments. IEEE Access. 7. 134601–134620. 16 indexed citations

Patroumpas, Kostas, Akrivi Vlachou, Harris Georgiou, et al.. (2019). ARGO. 194–197. 11 indexed citations

Georgiou, Harris, et al.. (2019). Semantic-aware aircraft trajectory prediction using flight plans. International Journal of Data Science and Analytics. 9(2). 215–228. 24 indexed citations

Vouros, George A., Akrivi Vlachou, Christos Doulkeridis, et al.. (2018). Big Data Analytics for Time Critical Mobility Forecasting: Recent Progress and Research Challenges. Movebank. 612–623. 14 indexed citations

Vouros, George A., Christos Doulkeridis, Akrivi Vlachou, et al.. (2018). Big data analytics for time critical maritime and aerial mobility forecasting. City Research Online (City University London). 3 indexed citations

10.

Georgiou, Harris. (2017). 1-pass fixed-rate linear resampler in Matlab/Octave. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

11.

Georgiou, Harris, et al.. (2016). Off-Pump Repair of a Post-Infarct Ventricular Septal Defect: How Safe Is the Hamburger Procedure With Oximetry Guidance?. Journal of Medical Cases. 7(5). 168–170.

12.

Kopsinis, Yannis, Harris Georgiou, & Sergios Theodoridis. (2014). FMRI unmixing via properly adjusted dictionary learning. 2075–2079. 5 indexed citations

13.

Mavroforakis, Michael, et al.. (2011). A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetry. Computer Methods and Programs in Biomedicine. 102(1). 47–63. 94 indexed citations

14.

Georgiou, Harris, et al.. (2009). A fully automated complete segmentation scheme for mammograms. 11. 1–6. 9 indexed citations

15.

Georgiou, Harris, Michael Mavroforakis, Nikos Dimitropoulos, Dionisis Cavouras, & Sergios Theodoridis. (2007). Multi-scaled morphological features for the characterization of mammographic masses using statistical classification schemes. Artificial Intelligence in Medicine. 41(1). 39–55. 37 indexed citations

16.

Mavroforakis, Michael, Harris Georgiou, Nikos Dimitropoulos, D. Cavouras, & Sergios Theodoridis. (2006). Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiers. Artificial Intelligence in Medicine. 37(2). 145–162. 88 indexed citations

17.

Mavroforakis, Michael, Harris Georgiou, Nikos Dimitropoulos, D. Cavouras, & Sergios Theodoridis. (2005). Significance analysis of qualitative mammographic features, using linear classifiers, neural networks and support vector machines. European Journal of Radiology. 54(1). 80–89. 28 indexed citations

18.

Mavroforakis, Michael, Harris Georgiou, D. Cavouras, Nikos Dimitropoulos, & Sergios Theodoridis. (2003). Mammographic mass classification using textural features and descriptive diagnostic data. 461–464. 10 indexed citations

19.

Georgiou, Harris, Michael Mavroforakis, D. Cavouras, Nikos Dimitropoulos, & Sergios Theodoridis. (2003). Multi-resolution morphological analysis and classification of mammographic masses using shape, spectral and wavelet features. 465–468. 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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