Georgios Kostopoulos
- Computer Science Applications top 1%
- Artificial Intelligence top 5%
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Health Information Management top 5%
- Co-authors
- Sotiris KotsiantisO. RagosStamatis KarlosNikos FazakisChristos PierrakeasPanagiotis PintelasAchilles KameasTheodor Panagiotakopoulos
- Topics
- Online Learning and Analytics (16 papers)Imbalanced Data Classification Techniques (10 papers)Machine Learning and Data Classification (10 papers)
- Partner nations
- GreeceCyprusUnited Kingdom
In The Last Decade
Georgios Kostopoulos
20 papers receiving 550 citations
Peers
Comparison fields: 5 of 101
- Computer Science Applications 269
- Artificial Intelligence 254
- Information Systems 72
- Computer Networks and Communications 64
- Health Information Management 58
Countries citing papers authored by Georgios Kostopoulos
This map shows the geographic impact of Georgios Kostopoulos'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 Georgios Kostopoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georgios Kostopoulos more than expected).
Fields of papers citing papers by Georgios Kostopoulos
This network shows the impact of papers produced by Georgios Kostopoulos. 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 Georgios Kostopoulos. The network helps show where Georgios Kostopoulos may publish in the future.
Co-authorship network of co-authors of Georgios Kostopoulos
This figure shows the co-authorship network connecting the top 25 collaborators of Georgios Kostopoulos. A scholar is included among the top collaborators of Georgios Kostopoulos 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 Georgios Kostopoulos. Georgios Kostopoulos 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 | 0 | |
| 3 | 20 | |
| 4 | 25 | |
| 5 | 18 | |
| 6 | 15 | |
| 7 | 47 | |
| 8 | 31 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 74 | |
| 12 | 28 | |
| 13 | 68 | |
| 14 | 21 | |
| 15 | 6 | |
| 16 | 27 | |
| 17 | 21 | |
| 18 | 3 | |
| 19 | 10 | |
| 20 | 31 |
About Georgios Kostopoulos
Georgios Kostopoulos is a scholar working on Computer Science Applications, Health Informatics and Artificial Intelligence, having authored 23 papers that have together received 573 indexed citations. Recurring topics across this work include Online Learning and Analytics (16 papers), Imbalanced Data Classification Techniques (10 papers) and Machine Learning and Data Classification (10 papers). The work is most often cited by research in Computer Science Applications (269 citations), Health Information Management (58 citations) and Health Informatics (14 citations). Georgios Kostopoulos has collaborated with scholars based in Greece, Cyprus and United Kingdom. Frequent co-authors include Sotiris Kotsiantis, O. Ragos, Stamatis Karlos, Nikos Fazakis, Christos Pierrakeas, Panagiotis Pintelas, Achilles Kameas, Theodor Panagiotakopoulos, Iosif Mporas and Omiros Iatrellis. Their work appears in journals such as IEEE Access, Applied Sciences and Electronics.
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.