Csaba Király
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Amy L. MurphyRajeev PiyarePietro TosatoDavide BrunelliTimofei IstominOana IovaRenato Lo CignoLuca Abeni
- Topics
- Caching and Content Delivery (17 papers)Peer-to-Peer Network Technologies (16 papers)Network Traffic and Congestion Control (8 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringInformation Systems
- Journals
- IEEE Communications Surveys & TutorialsIEEE Communications MagazineAstronomy and Astrophysics
- Partner nations
- ItalyUnited StatesHungary
In The Last Decade
Csaba Király
33 papers receiving 540 citations
Peers
Comparison fields: 5 of 51
- Computer Networks and Communications 425
- Electrical and Electronic Engineering 236
- Information Systems 77
- Biomedical Engineering 58
- Computer Vision and Pattern Recognition 56
Countries citing papers authored by Csaba Király
This map shows the geographic impact of Csaba Király'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 Csaba Király with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Király more than expected).
Fields of papers citing papers by Csaba Király
This network shows the impact of papers produced by Csaba Király. 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 Csaba Király. The network helps show where Csaba Király may publish in the future.
Co-authorship network of co-authors of Csaba Király
This figure shows the co-authorship network connecting the top 25 collaborators of Csaba Király. A scholar is included among the top collaborators of Csaba Király 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 Csaba Király. Csaba Király 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 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 120 | |
| 7 | 2 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 27 | |
| 13 | 8 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 5 | |
| 18 | Solving Performance Issues in Anonymization Overlays with a L3 approach | 7 |
| 19 | 1 | |
| 20 | Network planning aspects of the HeliNet telecommunications architecture | 1 |
About Csaba Király
Csaba Király is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 36 papers that have together received 560 indexed citations. Recurring topics across this work include Caching and Content Delivery (17 papers), Peer-to-Peer Network Technologies (16 papers) and Network Traffic and Congestion Control (8 papers). The work is most often cited by research in Computer Networks and Communications (425 citations), Electrical and Electronic Engineering (236 citations) and Information Systems (77 citations). Csaba Király has collaborated with scholars based in Italy, United States and Hungary. Frequent co-authors include Amy L. Murphy, Rajeev Piyare, Pietro Tosato, Davide Brunelli, Timofei Istomin, Oana Iova, Renato Lo Cigno, Luca Abeni, Koustabh Dolui and Emilio Leonardi. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Communications Magazine and Astronomy and Astrophysics.
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.