G. Androulidakis
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Control and Systems Engineering
- Information Systems
- Co-authors
- Vasilis MaglarisKostas GiotisDimitris KalogerasChristos ArgyropoulosSymeon PapavassiliouKonstantinos PelechrinisChrysa PapagianniJeroen van der Ham
- Topics
- Network Security and Intrusion Detection (10 papers)Software-Defined Networks and 5G (7 papers)Internet Traffic Analysis and Secure E-voting (7 papers)
- Partner nations
- GreeceNetherlandsCzechia
In The Last Decade
G. Androulidakis
14 papers receiving 480 citations
Hit Papers
Peers
Comparison fields: 5 of 33
- Computer Networks and Communications 480
- Artificial Intelligence 265
- Signal Processing 103
- Control and Systems Engineering 45
- Information Systems 43
Countries citing papers authored by G. Androulidakis
This map shows the geographic impact of G. Androulidakis'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 G. Androulidakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Androulidakis more than expected).
Fields of papers citing papers by G. Androulidakis
This network shows the impact of papers produced by G. Androulidakis. 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 G. Androulidakis. The network helps show where G. Androulidakis may publish in the future.
Co-authorship network of co-authors of G. Androulidakis
This figure shows the co-authorship network connecting the top 25 collaborators of G. Androulidakis. A scholar is included among the top collaborators of G. Androulidakis 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 G. Androulidakis. G. Androulidakis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 20 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | Combining OpenFlow and sFlow for an effective and scalable anomaly detection and mitigation mechanism on SDN environmentsbreakdown → | 345 |
| 7 | 10 | |
| 8 | 6 | |
| 9 | 6 | |
| 10 | 42 | |
| 11 | 23 | |
| 12 | 9 | |
| 13 | 4 | |
| 14 | 12 |
About G. Androulidakis
G. Androulidakis is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems, having authored 14 papers that have together received 501 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (10 papers), Software-Defined Networks and 5G (7 papers) and Internet Traffic Analysis and Secure E-voting (7 papers). The work is most often cited by research in Computer Networks and Communications (480 citations), Signal Processing (103 citations) and Artificial Intelligence (265 citations). G. Androulidakis has collaborated with scholars based in Greece, Netherlands and Czechia. Frequent co-authors include Vasilis Maglaris, Kostas Giotis, Dimitris Kalogeras, Christos Argyropoulos, Symeon Papavassiliou, Konstantinos Pelechrinis, Chrysa Papagianni, Jeroen van der Ham, Bartosz Belter and Spyridon Mastorakis. Their work appears in journals such as IEEE Communications Magazine, Computer Networks and Security and Communication Networks.
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.