Marina Drosou
- Signal Processing top 2%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Evaggelia PitouraKostas StefanidisH. V. JagadishJulia StoyanovichMohamed A. SharafH. Khan
- Topics
- Data Management and Algorithms (16 papers)Recommender Systems and Techniques (8 papers)Data Mining Algorithms and Applications (8 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringProceedings of the VLDB EndowmentACM SIGMOD Record
- Partner nations
- GreeceAustraliaUnited States
In The Last Decade
Marina Drosou
19 papers receiving 492 citations
Peers
Comparison fields: 5 of 57
- Signal Processing 275
- Computer Networks and Communications 231
- Information Systems 214
- Artificial Intelligence 178
- Computer Vision and Pattern Recognition 106
Countries citing papers authored by Marina Drosou
This map shows the geographic impact of Marina Drosou'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 Marina Drosou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marina Drosou more than expected).
Fields of papers citing papers by Marina Drosou
This network shows the impact of papers produced by Marina Drosou. 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 Marina Drosou. The network helps show where Marina Drosou may publish in the future.
Co-authorship network of co-authors of Marina Drosou
This figure shows the co-authorship network connecting the top 25 collaborators of Marina Drosou. A scholar is included among the top collaborators of Marina Drosou 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 Marina Drosou. Marina Drosou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 89 | |
| 2 | 20 | |
| 3 | The DisC Diversity Model. | 2 |
| 4 | 9 | |
| 5 | 7 | |
| 6 | 20 | |
| 7 | 5 | |
| 8 | 27 | |
| 9 | 4 | |
| 10 | 23 | |
| 11 | 65 | |
| 12 | 9 | |
| 13 | 27 | |
| 14 | 2 | |
| 15 | 131 | |
| 16 | Diversity over Continuous Data. | 27 |
| 17 | "You May Also Like" Results in Relational Databases | 29 |
| 18 | 17 | |
| 19 | Preferential Publish/Subscribe. | 5 |
About Marina Drosou
Marina Drosou is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications, having authored 19 papers that have together received 518 indexed citations. Recurring topics across this work include Data Management and Algorithms (16 papers), Recommender Systems and Techniques (8 papers) and Data Mining Algorithms and Applications (8 papers). The work is most often cited by research in Signal Processing (275 citations), Computer Networks and Communications (231 citations) and Information Systems (214 citations). Marina Drosou has collaborated with scholars based in Greece, Australia and United States. Frequent co-authors include Evaggelia Pitoura, Kostas Stefanidis, H. V. Jagadish, Julia Stoyanovich, Mohamed A. Sharaf and H. Khan. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and ACM SIGMOD Record.
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.