Michalis Potamias
- Signal Processing top 1%
- Data Management and Algorithms 10
- Time Series Analysis and Forecasting 5
- Music and Audio Processing 2
- Transportation top 5%
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- Advanced Database Systems and Queries 3
- Peer-to-Peer Network Technologies 2
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- Advanced Image and Video Retrieval Techniques 2
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- Complex Network Analysis Techniques 5
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- Cloud Computing and Resource Management 2
- Co-authors
- George KolliosFrancesco BonchiAristides GionisKostas PatroumpasTimos SellisVassilis AthitsosCarlos CastilloPanagiotis Papapetrou
- Journals
- IEEE Transactions on Knowledge and Data Engineering (1 paper)Proceedings of the VLDB Endowment (2 papers)ACM Transactions on Database Systems (2 papers)
- Partner nations
- United StatesGreeceIsrael
In The Last Decade
Michalis Potamias
15 papers receiving 872 citations
Peers
Comparison fields: 5 of 65
- Signal Processing 500
- Transportation 103
- Computer Networks and Communications 318
- Computer Vision and Pattern Recognition 265
- Statistical and Nonlinear Physics 159
Countries citing papers authored by Michalis Potamias
This map shows the geographic impact of Michalis Potamias'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 Michalis Potamias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michalis Potamias more than expected).
Fields of papers citing papers by Michalis Potamias
This network shows the impact of papers produced by Michalis Potamias. 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 Michalis Potamias. The network helps show where Michalis Potamias may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Michalis Potamias, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 0 | |
| 2 | 2014 | 7 | |
| 3 | 2011 | 51 | |
| 4 | 2011 | 68 | |
| 5 | 2010 | 165 | |
| 6 | 2010 | 148 | |
| 7 | 2009 | 167 | |
| 8 | Indexing Distances in Large Graphs and Applications in Search Tasks | 2009 | 1 |
| 9 | Nearest-neighbor Queries in Probabilistic Graphs | 2009 | 3 |
| 10 | 2008 | 45 | |
| 11 | 2008 | 20 | |
| 12 | 2008 | 38 | |
| 13 | 2008 | 60 | |
| 14 | 2008 | 1 | |
| 15 | 2006 | 132 | |
| 16 | 2006 | 7 |
About Michalis Potamias
Michalis Potamias is a scholar working on Signal Processing, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 16 papers that have together received 913 indexed citations. Recurring topics across this work include Data Management and Algorithms (10 papers), Time Series Analysis and Forecasting (5 papers), Complex Network Analysis Techniques (5 papers), Advanced Database Systems and Queries (3 papers), Peer-to-Peer Network Technologies (2 papers), Music and Audio Processing (2 papers), Cloud Computing and Resource Management (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Signal Processing (500 citations), Transportation (103 citations) and Computer Networks and Communications (318 citations). Michalis Potamias has collaborated with scholars based in United States, Greece and Israel. Frequent co-authors include George Kollios, Francesco Bonchi, Aristides Gionis, Kostas Patroumpas, Timos Sellis, Vassilis Athitsos, Carlos Castillo, Panagiotis Papapetrou, Chaitanya Mishra and Nick Koudas. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and ACM Transactions on Database 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.