Dionisis Margaris
- Information Systems top 2%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Sociology and Political Science
- Computer Networks and Communications top 10%
- Co-authors
- Costas VassilakisDimitris SpiliotopoulosPanagiotis GeorgiadisKonstantinos KotisAnna KobusińskaSotiris IoannidisJason PolakisStefanos Ougiaroglou
- Topics
- Recommender Systems and Techniques (34 papers)Image and Video Quality Assessment (14 papers)Caching and Content Delivery (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessFuture Generation Computer Systems
In The Last Decade
Dionisis Margaris
54 papers receiving 475 citations
Peers
Comparison fields: 5 of 78
- Information Systems 302
- Artificial Intelligence 165
- Computer Vision and Pattern Recognition 141
- Sociology and Political Science 94
- Computer Networks and Communications 77
Countries citing papers authored by Dionisis Margaris
This map shows the geographic impact of Dionisis Margaris'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 Dionisis Margaris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dionisis Margaris more than expected).
Fields of papers citing papers by Dionisis Margaris
This network shows the impact of papers produced by Dionisis Margaris. 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 Dionisis Margaris. The network helps show where Dionisis Margaris may publish in the future.
Co-authorship network of co-authors of Dionisis Margaris
This figure shows the co-authorship network connecting the top 25 collaborators of Dionisis Margaris. A scholar is included among the top collaborators of Dionisis Margaris 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 Dionisis Margaris. Dionisis Margaris 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 | 14 | |
| 4 | 11 | |
| 5 | 22 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 6 | |
| 13 | 0 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 35 | |
| 17 | 8 | |
| 18 | 27 | |
| 19 | 5 | |
| 20 | 20 |
About Dionisis Margaris
Dionisis Margaris is a scholar working on Information Systems, Transportation and Computer Vision and Pattern Recognition, having authored 57 papers that have together received 484 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (34 papers), Image and Video Quality Assessment (14 papers) and Caching and Content Delivery (8 papers). The work is most often cited by research in Information Systems (302 citations), Transportation (60 citations) and Computer Vision and Pattern Recognition (141 citations). Dionisis Margaris has collaborated with scholars based in Greece, Poland and Germany. Frequent co-authors include Costas Vassilakis, Dimitris Spiliotopoulos, Panagiotis Georgiadis, Konstantinos Kotis, Anna Kobusińska, Sotiris Ioannidis, Jason Polakis, Stefanos Ougiaroglou, Vassilis Poulopoulos and Volha Petukhova. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Future Generation Computer Systems.
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.