Konstantinos Blekas
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Control and Systems Engineering top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Aristidis LikasAndreas StafylopatisI.E. LagarisNikolaos GalatsanosVangelis P. OikonomouLoukas G. AstrakasGrigorios TsoumakasBin Liu
- Topics
- Reinforcement Learning in Robotics (13 papers)Bayesian Methods and Mixture Models (7 papers)Face and Expression Recognition (7 papers)
- Journals
- BioinformaticsEuropean Journal of Operational ResearchIEEE Transactions on Biomedical Engineering
- Partner nations
- GreeceUnited StatesFrance
In The Last Decade
Konstantinos Blekas
57 papers receiving 662 citations
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 239
- Computer Vision and Pattern Recognition 154
- Molecular Biology 151
- Control and Systems Engineering 75
- Radiology, Nuclear Medicine and Imaging 73
Countries citing papers authored by Konstantinos Blekas
This map shows the geographic impact of Konstantinos Blekas'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 Konstantinos Blekas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Konstantinos Blekas more than expected).
Fields of papers citing papers by Konstantinos Blekas
This network shows the impact of papers produced by Konstantinos Blekas. 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 Konstantinos Blekas. The network helps show where Konstantinos Blekas may publish in the future.
Co-authorship network of co-authors of Konstantinos Blekas
This figure shows the co-authorship network connecting the top 25 collaborators of Konstantinos Blekas. A scholar is included among the top collaborators of Konstantinos Blekas 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 Konstantinos Blekas. Konstantinos Blekas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 24 | |
| 5 | 3 | |
| 6 | 13 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | Linear Bayesian reinforcement learning | 4 |
| 12 | 10 | |
| 13 | 8 | |
| 14 | 30 | |
| 15 | 6 | |
| 16 | 28 | |
| 17 | 53 | |
| 18 | 65 | |
| 19 | 33 | |
| 20 | 2 |
About Konstantinos Blekas
Konstantinos Blekas is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Transportation, having authored 59 papers that have together received 689 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (13 papers), Bayesian Methods and Mixture Models (7 papers) and Face and Expression Recognition (7 papers). The work is most often cited by research in Biophysics (65 citations), Computer Vision and Pattern Recognition (154 citations) and Artificial Intelligence (239 citations). Konstantinos Blekas has collaborated with scholars based in Greece, United States and France. Frequent co-authors include Aristidis Likas, Andreas Stafylopatis, I.E. Lagaris, Nikolaos Galatsanos, Vangelis P. Oikonomou, Loukas G. Astrakas, Grigorios Tsoumakas, Bin Liu, P.S. Zoumpoulis and Efthyvoulos Kyriacou. Their work appears in journals such as Bioinformatics, European Journal of Operational Research and IEEE Transactions on Biomedical Engineering.
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.