Ioannis Georgoulas
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Control and Systems Engineering
- Media Technology top 10%
- Co-authors
- Ioannis RallisGeorge KopsiaftisNikolaos DoulamisAnastasios DoulamisAthanasios VoulodimosKonstantinos MakantasisP.J. TerzopoulosEftychios Protopapadakis
- Topics
- Tensor decomposition and applications (4 papers)Sparse and Compressive Sensing Techniques (3 papers)Customer churn and segmentation (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessOAR@UM (University of Malta)
- Partner nations
- GreeceMaltaUnited Kingdom
In The Last Decade
Ioannis Georgoulas
14 papers receiving 290 citations
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 81
- Computer Vision and Pattern Recognition 75
- Information Systems 45
- Control and Systems Engineering 38
- Media Technology 26
Countries citing papers authored by Ioannis Georgoulas
This map shows the geographic impact of Ioannis Georgoulas'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 Georgoulas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ioannis Georgoulas more than expected).
Fields of papers citing papers by Ioannis Georgoulas
This network shows the impact of papers produced by Ioannis Georgoulas. 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 Georgoulas. The network helps show where Ioannis Georgoulas may publish in the future.
Co-authorship network of co-authors of Ioannis Georgoulas
This figure shows the co-authorship network connecting the top 25 collaborators of Ioannis Georgoulas. A scholar is included among the top collaborators of Ioannis Georgoulas 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 Georgoulas. Ioannis Georgoulas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 21 | |
| 7 | 125 | |
| 8 | 64 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 11 | |
| 12 | 15 | |
| 13 | 17 | |
| 14 | 20 | |
| 15 | 3 |
About Ioannis Georgoulas
Ioannis Georgoulas is a scholar working on Computational Mathematics, Human-Computer Interaction and Marketing, having authored 15 papers that have together received 296 indexed citations. Recurring topics across this work include Tensor decomposition and applications (4 papers), Sparse and Compressive Sensing Techniques (3 papers) and Customer churn and segmentation (3 papers). The work is most often cited by research in Computational Mathematics (10 citations), Computer Vision and Pattern Recognition (75 citations) and Human-Computer Interaction (17 citations). Ioannis Georgoulas has collaborated with scholars based in Greece, Malta and United Kingdom. Frequent co-authors include Ioannis Rallis, George Kopsiaftis, Nikolaos Doulamis, Anastasios Doulamis, Athanasios Voulodimos, Anastasios Doulamis, Konstantinos Makantasis, P.J. Terzopoulos, Eftychios Protopapadakis and Dylan Seychell. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and OAR@UM (University of Malta).
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.