Michael Zink
- Computer Networks and Communications top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 2%
- Information Systems top 2%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Jim KuroseKyoungwon SuhYu GuRalf SteinmetzAmr RizkDilip Kumar KrishnappaRamesh K. SitaramanDavid Irwin
- Topics
- Caching and Content Delivery (45 papers)Image and Video Quality Assessment (38 papers)Peer-to-Peer Network Technologies (29 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionSignal Processing
- Partner nations
- United StatesGermanyNorway
In The Last Decade
Michael Zink
134 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 79
- Computer Networks and Communications 1.5k
- Computer Vision and Pattern Recognition 751
- Signal Processing 383
- Information Systems 360
- Electrical and Electronic Engineering 343
Countries citing papers authored by Michael Zink
This map shows the geographic impact of Michael Zink'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 Michael Zink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Zink more than expected).
Fields of papers citing papers by Michael Zink
This network shows the impact of papers produced by Michael Zink. 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 Michael Zink. The network helps show where Michael Zink may publish in the future.
Co-authorship network of co-authors of Michael Zink
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Zink. A scholar is included among the top collaborators of Michael Zink 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 Michael Zink. Michael Zink 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 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 21 | |
| 9 | 5 | |
| 10 | 15 | |
| 11 | The design and operation of cloudlab | 122 |
| 12 | 11 | |
| 13 | iSPUW: integrated sensing and prediction of urban water for sustainable cities | 1 |
| 14 | The CASA Dallas Fort Worth Remote Sensing Network ICT for Urban Disaster Mitigation | 13 |
| 15 | 10 | |
| 16 | 110 | |
| 17 | Watch Global, Cache Local: YouTube Network Traffic at a Campus Network - Measurements and Implications | 44 |
| 18 | 19 | |
| 19 | 1 | |
| 20 | 32 |
About Michael Zink
Michael Zink is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 148 papers that have together received 2.1k indexed citations. Recurring topics across this work include Caching and Content Delivery (45 papers), Image and Video Quality Assessment (38 papers) and Peer-to-Peer Network Technologies (29 papers). The work is most often cited by research in Computer Networks and Communications (1.5k citations), Computer Vision and Pattern Recognition (751 citations) and Signal Processing (383 citations). Michael Zink has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include Jim Kurose, Kyoungwon Suh, Yu Gu, Ralf Steinmetz, Amr Rizk, Dilip Kumar Krishnappa, Ramesh K. Sitaraman, David Irwin, Carsten Griwodz and Klara Nahrstedt. Their work appears in journals such as Proceedings of the IEEE, Communications of the ACM and IEEE Communications Magazine.
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.