Harris Georgiou
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Co-authors
- Sergios TheodoridisMichael MavroforakisNikos DimitropoulosD. CavourasNikos PelekisYannis TheodoridisDionisis CavourasEva Chondrodima
- Topics
- AI in cancer detection (7 papers)Data Management and Algorithms (4 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceRadiology, Nuclear Medicine and Imaging
- Partner nations
- GreeceUnited StatesGermany
In The Last Decade
Harris Georgiou
18 papers receiving 341 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 221
- Computer Vision and Pattern Recognition 148
- Radiology, Nuclear Medicine and Imaging 112
- Molecular Biology 56
- Pulmonary and Respiratory Medicine 48
Countries citing papers authored by Harris Georgiou
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 15 | |
| 3 | 6 | |
| 4 | Smart boots, fusion engine and aerial assets for enhanced situational awareness and safety in search & rescue operations | 1 |
| 5 | 16 | |
| 6 | 24 | |
| 7 | 11 | |
| 8 | 14 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | FMRI unmixing via properly adjusted dictionary learning | 5 |
| 13 | 94 | |
| 14 | 9 | |
| 15 | 37 | |
| 16 | 88 | |
| 17 | 28 | |
| 18 | 10 | |
| 19 | 1 |
About Harris Georgiou
Harris Georgiou is a scholar working on Transportation, Computer Vision and Pattern Recognition and Signal Processing, having authored 19 papers that have together received 366 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Data Management and Algorithms (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (148 citations), Artificial Intelligence (221 citations) and Radiology, Nuclear Medicine and Imaging (112 citations). Harris Georgiou has collaborated with scholars based in Greece, United States and Germany. Frequent co-authors include Sergios Theodoridis, Michael Mavroforakis, Nikos Dimitropoulos, D. Cavouras, Nikos Pelekis, Yannis Theodoridis, Dionisis Cavouras, Eva Chondrodima, Yannis Kopsinis and George A. Vouros. Their work appears in journals such as IEEE Access, Computer Methods and Programs in Biomedicine and European Journal of Radiology.
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.