Jan Rüth
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Information Systems
- Co-authors
- Klaus WehrleOliver HohlfeldIke KunzeTorsten ZimmermannHanno WirtzSandra HircheMartin SerrorJó Ágila Bitsch Link
- Topics
- Software-Defined Networks and 5G (9 papers)Caching and Content Delivery (8 papers)Network Traffic and Congestion Control (5 papers)
- Cited by
- Computer Networks and CommunicationsHardware and ArchitectureComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Network and Service ManagementarXiv (Cornell University)mediaTUM (Technical University of Munich)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Jan Rüth
22 papers receiving 207 citations
Peers
Comparison fields: 5 of 35
- Computer Networks and Communications 172
- Electrical and Electronic Engineering 56
- Artificial Intelligence 39
- Computer Vision and Pattern Recognition 28
- Information Systems 25
Countries citing papers authored by Jan Rüth
This map shows the geographic impact of Jan Rüth'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 Jan Rüth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Rüth more than expected).
Fields of papers citing papers by Jan Rüth
This network shows the impact of papers produced by Jan Rüth. 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 Jan Rüth. The network helps show where Jan Rüth may publish in the future.
Co-authorship network of co-authors of Jan Rüth
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Rüth. A scholar is included among the top collaborators of Jan Rüth 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 Jan Rüth. Jan Rüth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Tofino + P4: A Strong Compound for AQM on High-Speed Networks? | 6 |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 27 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 25 | |
| 12 | 17 | |
| 13 | 16 | |
| 14 | 8 | |
| 15 | 22 | |
| 16 | Maintaining integrity and reputation in content offloading | 2 |
| 17 | 20 | |
| 18 | 0 | |
| 19 | 6 | |
| 20 | 1 |
About Jan Rüth
Jan Rüth is a scholar working on Computer Networks and Communications, Hardware and Architecture and Software, having authored 24 papers that have together received 213 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (9 papers), Caching and Content Delivery (8 papers) and Network Traffic and Congestion Control (5 papers). The work is most often cited by research in Computer Networks and Communications (172 citations), Hardware and Architecture (23 citations) and Computer Vision and Pattern Recognition (28 citations). Jan Rüth has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Klaus Wehrle, Oliver Hohlfeld, Ike Kunze, Torsten Zimmermann, Hanno Wirtz, Sandra Hirche, Martin Serror, Jó Ágila Bitsch Link, Jan Henrik Ziegeldorf and Konrad Wolsing. Their work appears in journals such as IEEE Transactions on Network and Service Management, arXiv (Cornell University) and mediaTUM (Technical University of Munich).
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.