Anestis Karasaridis
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- David HoeflinDimitrios HatzinakosEero P. SimoncelliK.S. Meier-HellsternIoannis PitasS. J. PantazopoulouMohamed MaalejW.K. Ehrlich
- Topics
- Network Security and Intrusion Detection (5 papers)Image and Signal Denoising Methods (4 papers)Internet Traffic Analysis and Secure E-voting (4 papers)
- Partner nations
- CanadaUnited StatesGreece
In The Last Decade
Anestis Karasaridis
19 papers receiving 403 citations
Peers
Comparison fields: 5 of 60
- Computer Networks and Communications 321
- Artificial Intelligence 222
- Signal Processing 171
- Information Systems 72
- Computer Vision and Pattern Recognition 69
Countries citing papers authored by Anestis Karasaridis
This map shows the geographic impact of Anestis Karasaridis'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 Anestis Karasaridis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anestis Karasaridis more than expected).
Fields of papers citing papers by Anestis Karasaridis
This network shows the impact of papers produced by Anestis Karasaridis. 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 Anestis Karasaridis. The network helps show where Anestis Karasaridis may publish in the future.
Co-authorship network of co-authors of Anestis Karasaridis
This figure shows the co-authorship network connecting the top 25 collaborators of Anestis Karasaridis. A scholar is included among the top collaborators of Anestis Karasaridis 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 Anestis Karasaridis. Anestis Karasaridis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | SDCAS and Joukowsky Institute webinars on epidemics and pandemics in Antiquity | 1 |
| 3 | 4 | |
| 4 | DNS Security | 1 |
| 5 | 1 Detection of DNS Anomalies using Flow Data Analysis | 8 |
| 6 | 16 | |
| 7 | Wide-scale botnet detection and characterization | 217 |
| 8 | 21 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 46 | |
| 13 | 7 | |
| 14 | 14 | |
| 15 | 3 | |
| 16 | 12 | |
| 17 | 83 | |
| 18 | 2 | |
| 19 | 12 |
About Anestis Karasaridis
Anestis Karasaridis is a scholar working on Management Information Systems, Computer Networks and Communications and Signal Processing, having authored 19 papers that have together received 454 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (5 papers), Image and Signal Denoising Methods (4 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). The work is most often cited by research in Signal Processing (171 citations), Computer Networks and Communications (321 citations) and Artificial Intelligence (222 citations). Anestis Karasaridis has collaborated with scholars based in Canada, United States and Greece. Frequent co-authors include David Hoeflin, Dimitrios Hatzinakos, Eero P. Simoncelli, K.S. Meier-Hellstern, Ioannis Pitas, S. J. Pantazopoulou, Mohamed Maalej, W.K. Ehrlich, Carolyn Johnson and Ashwin Sridharan. Their work appears in journals such as PLoS ONE, IEEE Transactions on Image Processing and IEEE Transactions on Communications.
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.