Kyriakos Sgarbas
- Artificial Intelligence top 10%
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Co-authors
- Anastasios BezerianosGeorgios Ν. DimitrakopoulosSotiris KotsiantisNikos FazakisStamatis KarlosNitish V. ThakorHongtao WangYu Sun
- Topics
- Natural Language Processing Techniques (14 papers)Machine Learning and Data Classification (10 papers)Bioinformatics and Genomic Networks (7 papers)
- Partner nations
- GreeceSingaporeUnited States
In The Last Decade
Kyriakos Sgarbas
53 papers receiving 513 citations
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 171
- Cognitive Neuroscience 136
- Experimental and Cognitive Psychology 79
- Computer Vision and Pattern Recognition 77
- Molecular Biology 76
Countries citing papers authored by Kyriakos Sgarbas
This map shows the geographic impact of Kyriakos Sgarbas'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 Kyriakos Sgarbas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyriakos Sgarbas more than expected).
Fields of papers citing papers by Kyriakos Sgarbas
This network shows the impact of papers produced by Kyriakos Sgarbas. 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 Kyriakos Sgarbas. The network helps show where Kyriakos Sgarbas may publish in the future.
Co-authorship network of co-authors of Kyriakos Sgarbas
This figure shows the co-authorship network connecting the top 25 collaborators of Kyriakos Sgarbas. A scholar is included among the top collaborators of Kyriakos Sgarbas 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 Kyriakos Sgarbas. Kyriakos Sgarbas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 8 | |
| 3 | 20 | |
| 4 | 28 | |
| 5 | 3 | |
| 6 | 18 | |
| 7 | 4 | |
| 8 | 11 | |
| 9 | 16 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 15 | |
| 14 | 41 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 0 | |
| 18 | 3 | |
| 19 | 7 | |
| 20 | 12 |
About Kyriakos Sgarbas
Kyriakos Sgarbas is a scholar working on Artificial Intelligence, Computer Science Applications and Language and Linguistics, having authored 55 papers that have together received 529 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (14 papers), Machine Learning and Data Classification (10 papers) and Bioinformatics and Genomic Networks (7 papers). The work is most often cited by research in Cognitive Neuroscience (136 citations), Experimental and Cognitive Psychology (79 citations) and Artificial Intelligence (171 citations). Kyriakos Sgarbas has collaborated with scholars based in Greece, Singapore and United States. Frequent co-authors include Anastasios Bezerianos, Georgios Ν. Dimitrakopoulos, Sotiris Kotsiantis, Nikos Fazakis, Stamatis Karlos, Nitish V. Thakor, Hongtao Wang, Yu Sun, Zhongxiang Dai and Iοannis Kakkos. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Pattern Recognition Letters and Applied Sciences.
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.