Georgios Pitsilis
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Sociology and Political Science
- Co-authors
- Heri RamampiaroHelge LangsethXiangliang ZhangLindsay MarshallJiqiang LiuPaul WatsonPhillip LordF. Gibson
- Topics
- Peer-to-Peer Network Technologies (4 papers)Recommender Systems and Techniques (4 papers)Access Control and Trust (4 papers)
- Partner nations
- United KingdomLuxembourgChina
In The Last Decade
Georgios Pitsilis
11 papers receiving 309 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 227
- Information Systems 152
- Computer Networks and Communications 115
- Signal Processing 60
- Sociology and Political Science 34
Countries citing papers authored by Georgios Pitsilis
This map shows the geographic impact of Georgios Pitsilis'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 Georgios Pitsilis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georgios Pitsilis more than expected).
Fields of papers citing papers by Georgios Pitsilis
This network shows the impact of papers produced by Georgios Pitsilis. 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 Georgios Pitsilis. The network helps show where Georgios Pitsilis may publish in the future.
Co-authorship network of co-authors of Georgios Pitsilis
This figure shows the co-authorship network connecting the top 25 collaborators of Georgios Pitsilis. A scholar is included among the top collaborators of Georgios Pitsilis 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 Georgios Pitsilis. Georgios Pitsilis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 159 | |
| 2 | 61 | |
| 3 | 9 | |
| 4 | 16 | |
| 5 | 3 | |
| 6 | Cloud Computing for e-Science with CARMEN | 43 |
| 7 | 3 | |
| 8 | 12 | |
| 9 | A proposal for Trust-Enabled P2P Recommendation Systems | 3 |
| 10 | Trust as a key to improving Recommendation Systems | 2 |
| 11 | A Model of Trust Derivation from Evidence for Use in Recommendation Systems | 18 |
About Georgios Pitsilis
Georgios Pitsilis is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems, having authored 11 papers that have together received 329 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (4 papers), Recommender Systems and Techniques (4 papers) and Access Control and Trust (4 papers). The work is most often cited by research in Artificial Intelligence (227 citations), Information Systems (152 citations) and Signal Processing (60 citations). Georgios Pitsilis has collaborated with scholars based in United Kingdom, Luxembourg and China. Frequent co-authors include Heri Ramampiaro, Helge Langseth, Xiangliang Zhang, Lindsay Marshall, Jiqiang Liu, Paul Watson, Phillip Lord, F. Gibson, Wei Wang and LF Marshall. Their work appears in journals such as Computers in Human Behavior, Information Sciences and Applied Intelligence.
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.