Panayiotis Tsaparas
- Artificial Intelligence top 1%
- Information Systems top 0.5%
- Statistical and Nonlinear Physics top 1%
- Signal Processing top 1%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Aristides GionisHeikki MannilaEvimaria TerziAllan BorodinJeffrey S. RosenthalGareth O. RobertsAlexandros NtoulasEvaggelia Pitoura
- Topics
- Complex Network Analysis Techniques (26 papers)Data Management and Algorithms (18 papers)Spam and Phishing Detection (10 papers)
- Partner nations
- GreeceUnited StatesFinland
In The Last Decade
Panayiotis Tsaparas
58 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Artificial Intelligence 1.3k
- Information Systems 932
- Statistical and Nonlinear Physics 696
- Signal Processing 540
- Computer Vision and Pattern Recognition 399
Countries citing papers authored by Panayiotis Tsaparas
This map shows the geographic impact of Panayiotis Tsaparas'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 Panayiotis Tsaparas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Panayiotis Tsaparas more than expected).
Fields of papers citing papers by Panayiotis Tsaparas
This network shows the impact of papers produced by Panayiotis Tsaparas. 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 Panayiotis Tsaparas. The network helps show where Panayiotis Tsaparas may publish in the future.
Co-authorship network of co-authors of Panayiotis Tsaparas
This figure shows the co-authorship network connecting the top 25 collaborators of Panayiotis Tsaparas. A scholar is included among the top collaborators of Panayiotis Tsaparas 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 Panayiotis Tsaparas. Panayiotis Tsaparas 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 66 | |
| 6 | 6 | |
| 7 | 8 | |
| 8 | 23 | |
| 9 | 20 | |
| 10 | 12 | |
| 11 | 12 | |
| 12 | 14 | |
| 13 | Clustering Aggregation (long version) | 18 |
| 14 | 35 | |
| 15 | 53 | |
| 16 | 59 | |
| 17 | 9 | |
| 18 | 180 | |
| 19 | 14 | |
| 20 | 140 |
About Panayiotis Tsaparas
Panayiotis Tsaparas is a scholar working on Statistical and Nonlinear Physics, Signal Processing and Information Systems, having authored 63 papers that have together received 2.5k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (26 papers), Data Management and Algorithms (18 papers) and Spam and Phishing Detection (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (696 citations), Signal Processing (540 citations) and Artificial Intelligence (1.3k citations). Panayiotis Tsaparas has collaborated with scholars based in Greece, United States and Finland. Frequent co-authors include Aristides Gionis, Heikki Mannila, Evimaria Terzi, Allan Borodin, Jeffrey S. Rosenthal, Gareth O. Roberts, Alexandros Ntoulas, Evaggelia Pitoura, Yue Lu and Livia Polanyi. Their work appears in journals such as PLoS ONE, IEEE Transactions on Knowledge and Data Engineering and BMC Evolutionary Biology.
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.