Christos Giatsidis
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Co-authors
- Michalis VazirgiannisDimitrios M. ThilikosFragkiskos D. MalliarosApostolos N. PapadopoulosBogdan CautisSilviu ManiuBowen ShiKlaus Berberich
- Topics
- Complex Network Analysis Techniques (11 papers)Advanced Graph Neural Networks (7 papers)Peer-to-Peer Network Technologies (4 papers)
In The Last Decade
Christos Giatsidis
11 papers receiving 353 citations
Peers
Comparison fields: 5 of 54
- Statistical and Nonlinear Physics 239
- Artificial Intelligence 159
- Computer Networks and Communications 108
- Computer Vision and Pattern Recognition 84
- Information Systems 59
Countries citing papers authored by Christos Giatsidis
This map shows the geographic impact of Christos Giatsidis'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 Christos Giatsidis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christos Giatsidis more than expected).
Fields of papers citing papers by Christos Giatsidis
This network shows the impact of papers produced by Christos Giatsidis. 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 Christos Giatsidis. The network helps show where Christos Giatsidis may publish in the future.
Co-authorship network of co-authors of Christos Giatsidis
This figure shows the co-authorship network connecting the top 25 collaborators of Christos Giatsidis. A scholar is included among the top collaborators of Christos Giatsidis 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 Christos Giatsidis. Christos Giatsidis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 84 | |
| 2 | The Core Decomposition of Networks: Theory, Algorithms and Applications | 3 |
| 3 | 3 | |
| 4 | 13 | |
| 5 | 41 | |
| 6 | 17 | |
| 7 | 9 | |
| 8 | 5 | |
| 9 | 67 | |
| 10 | 77 | |
| 11 | 44 |
About Christos Giatsidis
Christos Giatsidis is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Geometry and Topology, having authored 11 papers that have together received 363 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (11 papers), Advanced Graph Neural Networks (7 papers) and Peer-to-Peer Network Technologies (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (239 citations), Artificial Intelligence (159 citations) and Computer Networks and Communications (108 citations). Christos Giatsidis has collaborated with scholars based in France, Greece and China. Frequent co-authors include Michalis Vazirgiannis, Dimitrios M. Thilikos, Fragkiskos D. Malliaros, Apostolos N. Papadopoulos, Bogdan Cautis, Silviu Maniu, Bowen Shi, Klaus Berberich, Jie Tang and Giannis Nikolentzos. Their work appears in journals such as PLoS ONE, The VLDB Journal and Knowledge and Information 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.