László Böszörményi
- Computer Networks and Communications top 2%
- Computer Vision and Pattern Recognition top 2%
- Information Systems top 5%
- Signal Processing top 5%
- Sociology and Political Science
- Co-authors
- Stefan PodlipnigKlaus SchoeffmannBernd MünzerHermann HellwagnerHarald KoschMathias LuxJ. KecksteinG. Lajtai
- Topics
- Peer-to-Peer Network Technologies (24 papers)Caching and Content Delivery (23 papers)Video Analysis and Summarization (19 papers)
In The Last Decade
László Böszörményi
66 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Computer Networks and Communications 625
- Computer Vision and Pattern Recognition 456
- Information Systems 176
- Signal Processing 141
- Sociology and Political Science 107
Countries citing papers authored by László Böszörményi
This map shows the geographic impact of László Böszörményi'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 László Böszörményi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László Böszörményi more than expected).
Fields of papers citing papers by László Böszörményi
This network shows the impact of papers produced by László Böszörményi. 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 László Böszörményi. The network helps show where László Böszörményi may publish in the future.
Co-authorship network of co-authors of László Böszörményi
This figure shows the co-authorship network connecting the top 25 collaborators of László Böszörményi. A scholar is included among the top collaborators of László Böszörményi 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 László Böszörményi. László Böszörményi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 15 | |
| 3 | 35 | |
| 4 | 56 | |
| 5 | 20 | |
| 6 | 7 | |
| 7 | Replication for bio-inspired delivery in unstructured peer-to-peer networks | 5 |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | Measurement and Prediction of Network Characteristics for Adaptive Video Servers. | 0 |
| 12 | Client Behaviour Prediction in a Proactive Video Server | 1 |
| 13 | 7 | |
| 14 | 22 | |
| 15 | SMOOTH - A Distributed Multimedia Database System | 13 |
| 16 | JAVA für Anfänger? - Warum JAVA nicht meine Lieblingssprache für einen Anfängerkurs ist. | 1 |
| 17 | 3 | |
| 18 | 0 | |
| 19 | Programming in Modula-3: An Introduction in Programming with Style | 7 |
| 20 | A Distributed, Object-Oriented Simulation System Based on Hints. | 2 |
About László Böszörményi
László Böszörményi is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (24 papers), Caching and Content Delivery (23 papers) and Video Analysis and Summarization (19 papers). The work is most often cited by research in Computer Networks and Communications (625 citations), Computer Vision and Pattern Recognition (456 citations) and Signal Processing (141 citations). László Böszörményi has collaborated with scholars based in Austria, Hungary and Italy. Frequent co-authors include Stefan Podlipnig, Klaus Schoeffmann, Bernd Münzer, Hermann Hellwagner, Harald Kosch, Mathias Lux, J. Keckstein, G. Lajtai, Oge Marques and Klaus Schöffmann. Their work appears in journals such as ACM Computing Surveys, Computer Networks and Multimedia Tools and Applications.
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.