Peter Triantafillou
About
In The Last Decade
Peter Triantafillou
180 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 129
- Computer Networks and Communications 1.2k
- Signal Processing 411
- Information Systems 386
- Artificial Intelligence 371
- Sociology and Political Science 315
Countries citing papers authored by Peter Triantafillou
This map shows the geographic impact of Peter Triantafillou'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 Peter Triantafillou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Triantafillou more than expected).
Fields of papers citing papers by Peter Triantafillou
This network shows the impact of papers produced by Peter Triantafillou. 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 Peter Triantafillou. The network helps show where Peter Triantafillou may publish in the future.
Co-authorship network of co-authors of Peter Triantafillou
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Triantafillou. A scholar is included among the top collaborators of Peter Triantafillou 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 Peter Triantafillou. Peter Triantafillou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | Learned Approximate Query Processing: Make it Light, Accurate and Fast. | 6 |
| 4 | Query-Centric Regression for In-DBMS Analytics. | 1 |
| 5 | 1 | |
| 6 | 1 | |
| 7 | eXO: Decentralized Autonomous Scalable Social Networking | 13 |
| 8 | 3 | |
| 9 | P2P Content Search: Give the Web Back to the People | 21 |
| 10 | Global Document Frequency Estimation in Peer-to-Peer Web Search | 10 |
| 11 | KLEE: A Framework for Distributed Top-k Query Algorithms | 137 |
| 12 | Range query optimization leveraging peer heterogeneity | 2 |
| 13 | MINERVA: collaborative P2P search | 54 |
| 14 | SeAl: selfishness and altruism in peer-to-peer data sharing networks | 0 |
| 15 | Publish/subscribe over structured P2P networks | 7 |
| 16 | Self-organization and volunteering: Engineering in very large scale sharing networks | 1 |
| 17 | Towards a Unifying Framework for Complex Query Processing over Structured Peer-to-Peer Data Networks | 3 |
| 18 | Towards High Performance Peer-to-Peer Content and Resource Sharing Systems | 55 |
| 19 | Principles of Optimally Placing Data in Tertiary Storage Libraries | 27 |
| 20 | On demand data elevation in hierarchical multimedia storage servers | 21 |
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.