Stefan Podlipnig
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Information Systems and Management top 5%
- Co-authors
- László BöszörményiKlaus KoflerRadu ProdanThomas FahringerMarek WieczorekRubing DuanJun QinHong‐Linh Truong
- Topics
- Caching and Content Delivery (7 papers)Peer-to-Peer Network Technologies (5 papers)Distributed and Parallel Computing Systems (4 papers)
- Journals
- ACM Computing SurveysSignal Processing Image CommunicationTU/e Research Portal
- Partner nations
- AustriaNetherlands
In The Last Decade
Stefan Podlipnig
14 papers receiving 887 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Computer Networks and Communications 742
- Information Systems 292
- Computer Vision and Pattern Recognition 184
- Artificial Intelligence 103
- Information Systems and Management 101
Countries citing papers authored by Stefan Podlipnig
This map shows the geographic impact of Stefan Podlipnig'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 Stefan Podlipnig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Podlipnig more than expected).
Fields of papers citing papers by Stefan Podlipnig
This network shows the impact of papers produced by Stefan Podlipnig. 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 Stefan Podlipnig. The network helps show where Stefan Podlipnig may publish in the future.
Co-authorship network of co-authors of Stefan Podlipnig
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Podlipnig. A scholar is included among the top collaborators of Stefan Podlipnig 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 Stefan Podlipnig. Stefan Podlipnig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 166 | |
| 3 | 1 | |
| 4 | 32 | |
| 5 | 5 | |
| 6 | 26 | |
| 7 | 3 | |
| 8 | 40 | |
| 9 | 110 | |
| 10 | 22 | |
| 11 | 24 | |
| 12 | 3 | |
| 13 | 26 | |
| 14 | A survey of Web cache replacement strategiesbreakdown → | 493 |
About Stefan Podlipnig
Stefan Podlipnig is a scholar working on Computer Networks and Communications, Information Systems and Management and Information Systems, having authored 14 papers that have together received 953 indexed citations. Recurring topics across this work include Caching and Content Delivery (7 papers), Peer-to-Peer Network Technologies (5 papers) and Distributed and Parallel Computing Systems (4 papers). The work is most often cited by research in Computer Networks and Communications (742 citations), Information Systems and Management (101 citations) and Information Systems (292 citations). Stefan Podlipnig has collaborated with scholars based in Austria and Netherlands. Frequent co-authors include László Böszörményi, Klaus Kofler, Radu Prodan, Thomas Fahringer, Marek Wieczorek, Rubing Duan, Jun Qin, Hong‐Linh Truong, Alex Villazón and Mumtaz Siddiqui. Their work appears in journals such as ACM Computing Surveys, Signal Processing Image Communication and TU/e Research Portal.
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.