Ioannis Andreadis
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 1%
- Statistical and Nonlinear Physics top 2%
- Artificial Intelligence top 5%
- Economics and Econometrics top 5%
- Co-authors
- Theodoros E. KarakasidisAngelos AmanatiadisΑντώνιος ΓαστεράτοςJohn ArgyrisGeorgios Ch. SirakoulisPh. TsalidesVassilios VonikakisApostolos Serletis
- Topics
- Image and Signal Denoising Methods (21 papers)Image Retrieval and Classification Techniques (20 papers)Complex Systems and Time Series Analysis (20 papers)
In The Last Decade
Ioannis Andreadis
151 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 119
- Computer Vision and Pattern Recognition 1.0k
- Media Technology 387
- Statistical and Nonlinear Physics 305
- Artificial Intelligence 209
- Economics and Econometrics 185
Countries citing papers authored by Ioannis Andreadis
This map shows the geographic impact of Ioannis Andreadis'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 Ioannis Andreadis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ioannis Andreadis more than expected).
Fields of papers citing papers by Ioannis Andreadis
This network shows the impact of papers produced by Ioannis Andreadis. 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 Ioannis Andreadis. The network helps show where Ioannis Andreadis may publish in the future.
Co-authorship network of co-authors of Ioannis Andreadis
This figure shows the co-authorship network connecting the top 25 collaborators of Ioannis Andreadis. A scholar is included among the top collaborators of Ioannis Andreadis 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 Ioannis Andreadis. Ioannis Andreadis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 4 | |
| 6 | Cellular Automata-based Architecture for Cooperative Miniature Robots. | 9 |
| 7 | 6 | |
| 8 | 62 | |
| 9 | A new algorithm for the classification of earthquake damages in structures | 3 |
| 10 | 14 | |
| 11 | 9 | |
| 12 | 9 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | Morphological Granulometries for Color Images | 3 |
| 16 | 21 | |
| 17 | 19 | |
| 18 | 26 | |
| 19 | 14 | |
| 20 | 23 |
About Ioannis Andreadis
Ioannis Andreadis is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Statistical and Nonlinear Physics, having authored 155 papers that have together received 2.0k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (21 papers), Image Retrieval and Classification Techniques (20 papers) and Complex Systems and Time Series Analysis (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Media Technology (387 citations) and Statistical and Nonlinear Physics (305 citations). Ioannis Andreadis has collaborated with scholars based in Greece, Germany and Canada. Frequent co-authors include Theodoros E. Karakasidis, Angelos Amanatiadis, Αντώνιος Γαστεράτος, John Argyris, Georgios Ch. Sirakoulis, Ph. Tsalides, Vassilios Vonikakis, Apostolos Serletis, Ioakeim G. Georgoudas and Konstantinos Konstantinidis. Their work appears in journals such as IEEE Transactions on Image Processing, Energy Economics and Pattern Recognition.
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.