Panagiotis Karras
- Artificial Intelligence top 1%
- Computer Networks and Communications top 2%
- Signal Processing top 1%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 2%
- Co-authors
- Cathrin WeißAbraham BernsteinNikos MamoulisJianneng CaoPanos KalnisGabriel GhinitaStéphane BressanCiprian‐Octavian Truică
- Topics
- Data Management and Algorithms (24 papers)Complex Network Analysis Techniques (17 papers)Privacy-Preserving Technologies in Data (14 papers)
- Partner nations
- DenmarkSingaporeUnited States
In The Last Decade
Panagiotis Karras
80 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 1.0k
- Computer Networks and Communications 539
- Signal Processing 463
- Computer Vision and Pattern Recognition 339
- Information Systems 307
Countries citing papers authored by Panagiotis Karras
This map shows the geographic impact of Panagiotis Karras'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 Panagiotis Karras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Panagiotis Karras more than expected).
Fields of papers citing papers by Panagiotis Karras
This network shows the impact of papers produced by Panagiotis Karras. 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 Panagiotis Karras. The network helps show where Panagiotis Karras may publish in the future.
Co-authorship network of co-authors of Panagiotis Karras
This figure shows the co-authorship network connecting the top 25 collaborators of Panagiotis Karras. A scholar is included among the top collaborators of Panagiotis Karras 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 Panagiotis Karras. Panagiotis Karras is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 27 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 16 | |
| 12 | Equitable Stable Matchings in Quadratic Time | 2 |
| 13 | 6 | |
| 14 | 6 | |
| 15 | 10 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 6 | |
| 20 | One-pass wavelet synopses for maximum-error metrics | 47 |
About Panagiotis Karras
Panagiotis Karras is a scholar working on Signal Processing, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 87 papers that have together received 1.6k indexed citations. Recurring topics across this work include Data Management and Algorithms (24 papers), Complex Network Analysis Techniques (17 papers) and Privacy-Preserving Technologies in Data (14 papers). The work is most often cited by research in Signal Processing (463 citations), Artificial Intelligence (1.0k citations) and Computer Networks and Communications (539 citations). Panagiotis Karras has collaborated with scholars based in Denmark, Singapore and United States. Frequent co-authors include Cathrin Weiß, Abraham Bernstein, Nikos Mamoulis, Jianneng Cao, Panos Kalnis, Gabriel Ghinita, Stéphane Bressan, Ciprian‐Octavian Truică, Nectarios Koziris and Elena‐Simona Apostol. Their work appears in journals such as IEEE Access, Wear and IEEE Transactions on Knowledge and Data Engineering.
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.