Michael Seufert
Impact in
-
- Image and Video Quality Assessment
- Advanced Data Compression Techniques
- Signal Processing top 1%
- Video Coding and Compression Technologies
Papers in
-
- Image and Video Quality Assessment 75
-
- Network Traffic and Congestion Control 33
- Caching and Content Delivery 21
- Software-Defined Networks and 5G 17
- Co-authors
- Phuoc Tran‐Gia (46 shared papers)Tobias Hoßfeld (46 shared papers)Thomas Zinner (13 shared papers)Raimund Schatz (21 shared papers)Pedro Casas (37 shared papers)Sebastian Egger (6 shared papers)Martin Slanina (6 shared papers)Florian Wamser (35 shared papers)
In The Last Decade
Michael Seufert
123 papers receiving 2.4k citations
Michael Seufert's Hit Papers
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 1.8k
- Signal Processing 741
- Computer Networks and Communications 1.1k
- Computer Science Applications 115
- Urban Studies 94
Countries citing papers authored by Michael Seufert
This map shows the geographic impact of Michael Seufert'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 Seufert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Seufert more than expected).
Fields of papers citing papers by Michael Seufert
This network shows the impact of papers produced by Michael Seufert. 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 Seufert. The network helps show where Michael Seufert may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Seufert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Survey on Quality of Experience of HTTP Adaptive Streaming Hit paper breakdown → | 2014 | 615 |
| 2 | 2011 | 242 | |
| 3 | 2014 | 91 | |
| 4 | 2015 | 85 | |
| 5 | 2013 | 73 | |
| 6 | 2017 | 61 | |
| 7 | 2016 | 57 | |
| 8 | 2015 | 51 | |
| 9 | 2016 | 49 | |
| 10 | 2016 | 47 | |
| 11 | 2013 | 42 | |
| 12 | 2016 | 40 | |
| 13 | 2019 | 39 | |
| 14 | 2020 | 36 | |
| 15 | 2014 | 34 | |
| 16 | 2013 | 33 | |
| 17 | 2015 | 31 | |
| 18 | 2019 | 28 | |
| 19 | 2019 | 28 | |
| 20 | 2015 | 27 |
About Michael Seufert
Michael Seufert is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Sociology and Political Science, Electrical and Electronic Engineering and Signal Processing, having authored 129 papers that have together received 2.4k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (75 papers), Network Traffic and Congestion Control (33 papers), Multimedia Communication and Technology (26 papers), Caching and Content Delivery (21 papers), Video Coding and Compression Technologies (19 papers), Software-Defined Networks and 5G (17 papers), Green IT and Sustainability (12 papers) and Internet Traffic Analysis and Secure E-voting (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Signal Processing (741 citations), Computer Networks and Communications (1.1k citations), Computer Science Applications (115 citations) and Urban Studies (94 citations). Michael Seufert has collaborated with scholars based in Germany, Austria and Czechia. Frequent co-authors include Phuoc Tran‐Gia, Tobias Hoßfeld, Thomas Zinner, Raimund Schatz, Pedro Casas, Sebastian Egger, Martin Slanina, Florian Wamser, Matthias Hirth and Christian Sieber. Their work appears in journals such as IEEE Transactions on Network and Service Management, Computer Networks, IEEE Access, IEEE Communications Surveys & Tutorials and ACM SIGMETRICS Performance Evaluation Review.
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.