George Valkanas
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence
- Information Systems top 10%
- Computer Networks and Communications
- Signal Processing top 10%
- Co-authors
- Dimitrios GunopulosIoannis ArapakisMounia LalmasTheodoros LappasApostolos N. PapadopoulosEleftherios TiakasYannis ManolopoulosIoannis Katakis
- Topics
- Complex Network Analysis Techniques (7 papers)Data Management and Algorithms (6 papers)Data Mining Algorithms and Applications (4 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringACM Transactions on Database SystemsJournal of Systems and Software
- Partner nations
- GreeceUnited StatesUnited Kingdom
In The Last Decade
George Valkanas
22 papers receiving 241 citations
Peers
Comparison fields: 5 of 46
- Statistical and Nonlinear Physics 94
- Artificial Intelligence 84
- Information Systems 83
- Computer Networks and Communications 56
- Signal Processing 47
Countries citing papers authored by George Valkanas
This map shows the geographic impact of George Valkanas'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 George Valkanas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Valkanas more than expected).
Fields of papers citing papers by George Valkanas
This network shows the impact of papers produced by George Valkanas. 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 George Valkanas. The network helps show where George Valkanas may publish in the future.
Co-authorship network of co-authors of George Valkanas
This figure shows the co-authorship network connecting the top 25 collaborators of George Valkanas. A scholar is included among the top collaborators of George Valkanas 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 George Valkanas. George Valkanas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 17 | |
| 3 | 7 | |
| 4 | 17 | |
| 5 | Skyline Ranking à la IR | 5 |
| 6 | 41 | |
| 7 | 14 | |
| 8 | 15 | |
| 9 | 2 | |
| 10 | Event Detection from Social Media Data. | 28 |
| 11 | 6 | |
| 12 | 35 | |
| 13 | 11 | |
| 14 | 16 | |
| 15 | 16 | |
| 16 | Rank-Aware Crawling of Hidden Web sites | 4 |
| 17 | 4 | |
| 18 | 3 | |
| 19 | 2 | |
| 20 | 3 |
About George Valkanas
George Valkanas is a scholar working on Signal Processing, Statistical and Nonlinear Physics and Geography, Planning and Development, having authored 22 papers that have together received 253 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Data Management and Algorithms (6 papers) and Data Mining Algorithms and Applications (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (94 citations), Signal Processing (47 citations) and Communication (30 citations). George Valkanas has collaborated with scholars based in Greece, United States and United Kingdom. Frequent co-authors include Dimitrios Gunopulos, Ioannis Arapakis, Mounia Lalmas, Theodoros Lappas, Apostolos N. Papadopoulos, Eleftherios Tiakas, Yannis Manolopoulos, Ioannis Katakis, Gennady Andrienko and Ioannis Boutsis. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Database Systems and Journal of Systems and Software.
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.