Eirinaios Michelakis
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Signal Processing top 5%
- Information Systems top 10%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Daisy Zhe WangMinos GarofalakisJoseph M. HellersteinIoannis KoutisCharalampos E. TsourakakisChristos FaloutsosPetros DrineasIon Androutsopoulos
- Topics
- Data Management and Algorithms (6 papers)Advanced Database Systems and Queries (4 papers)Complex Network Analysis Techniques (2 papers)
- Journals
- Proceedings of the VLDB EndowmentSocial Network Analysis and MiningIEEE Data(base) Engineering Bulletin
- Partner nations
- United StatesGreece
In The Last Decade
Eirinaios Michelakis
9 papers receiving 225 citations
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 144
- Computer Networks and Communications 127
- Signal Processing 115
- Information Systems 63
- Statistical and Nonlinear Physics 46
Countries citing papers authored by Eirinaios Michelakis
This map shows the geographic impact of Eirinaios Michelakis'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 Eirinaios Michelakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eirinaios Michelakis more than expected).
Fields of papers citing papers by Eirinaios Michelakis
This network shows the impact of papers produced by Eirinaios Michelakis. 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 Eirinaios Michelakis. The network helps show where Eirinaios Michelakis may publish in the future.
Co-authorship network of co-authors of Eirinaios Michelakis
This figure shows the co-authorship network connecting the top 25 collaborators of Eirinaios Michelakis. A scholar is included among the top collaborators of Eirinaios Michelakis 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 Eirinaios Michelakis. Eirinaios Michelakis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 39 | |
| 3 | 14 | |
| 4 | Probabilistic Complex Event Triggering | 3 |
| 5 | 22 | |
| 6 | 98 | |
| 7 | 3 | |
| 8 | Probabilistic Data Management for Pervasive Computing: The Data Furnace Project. | 25 |
| 9 | Filtron: A Learning-Based Anti-Spam Filter | 34 |
About Eirinaios Michelakis
Eirinaios Michelakis is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 9 papers that have together received 251 indexed citations. Recurring topics across this work include Data Management and Algorithms (6 papers), Advanced Database Systems and Queries (4 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Signal Processing (115 citations), Computer Networks and Communications (127 citations) and Artificial Intelligence (144 citations). Eirinaios Michelakis has collaborated with scholars based in United States and Greece. Frequent co-authors include Daisy Zhe Wang, Minos Garofalakis, Joseph M. Hellerstein, Ioannis Koutis, Charalampos E. Tsourakakis, Christos Faloutsos, Petros Drineas, Ion Androutsopoulos, Panagiotis Stamatopoulos and Γεώργιος Παλιούρας. Their work appears in journals such as Proceedings of the VLDB Endowment, Social Network Analysis and Mining and IEEE Data(base) Engineering Bulletin.
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.