Michael Seufert

3.5k total citations · 1 hit paper
129 papers, 2.4k citations indexed

About

Michael Seufert is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Michael Seufert has authored 129 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Computer Vision and Pattern Recognition, 68 papers in Computer Networks and Communications and 33 papers in Sociology and Political Science. Recurrent topics in Michael Seufert's work include Image and Video Quality Assessment (75 papers), Network Traffic and Congestion Control (33 papers) and Multimedia Communication and Technology (26 papers). Michael Seufert is often cited by papers focused on Image and Video Quality Assessment (75 papers), Network Traffic and Congestion Control (33 papers) and Multimedia Communication and Technology (26 papers). Michael Seufert collaborates with scholars based in Germany, Austria and Czechia. Michael Seufert's 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 and has published in prestigious journals such as Soil Biology and Biochemistry, Computers in Human Behavior and IEEE Communications Surveys & Tutorials.

In The Last Decade

Michael Seufert

123 papers receiving 2.4k citations

Hit Papers

A Survey on Quality of Experience of HTTP Adaptive Streaming 2014 2026 2018 2022 2014 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Seufert Germany 23 1.8k 1.1k 741 538 388 129 2.4k
Sebastian Egger Austria 22 1.7k 0.9× 799 0.7× 627 0.8× 596 1.1× 297 0.8× 49 2.2k
Thomas Zinner Germany 23 1.4k 0.7× 2.1k 1.9× 683 0.9× 359 0.7× 877 2.3× 121 3.0k
Pedro Casas Austria 25 857 0.5× 1.5k 1.4× 417 0.6× 245 0.5× 303 0.8× 148 2.2k
Jibin Zhan United States 12 866 0.5× 1.4k 1.3× 418 0.6× 257 0.5× 355 0.9× 21 1.9k
Jeffrey Pang United States 26 433 0.2× 1.8k 1.6× 155 0.2× 246 0.5× 1.0k 2.6× 39 2.4k
Dilip Joseph United States 8 607 0.3× 888 0.8× 240 0.3× 191 0.4× 193 0.5× 11 1.2k
Martı́n Varela Finland 16 563 0.3× 435 0.4× 144 0.2× 163 0.3× 188 0.5× 49 894
Alessandro Finamore Italy 18 333 0.2× 1.2k 1.0× 203 0.3× 119 0.2× 255 0.7× 47 1.4k
Anirban Mahanti Canada 28 465 0.3× 2.4k 2.1× 487 0.7× 432 0.8× 429 1.1× 77 3.3k
Matteo Varvello United States 24 396 0.2× 1.5k 1.3× 182 0.2× 137 0.3× 172 0.4× 75 1.8k

Countries citing papers authored by Michael Seufert

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michael Seufert

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Seufert. A scholar is included among the top collaborators of Michael Seufert 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 Seufert. Michael Seufert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hoßfeld, Tobias, et al.. (2025). A Tutorial on Data-Driven Quality-of-Experience Modeling With Explainable Artificial Intelligence. IEEE Communications Surveys & Tutorials. 28. 761–799.
3.
Seufert, Michael, et al.. (2024). COBIRAS: Offering a Continuous Bit Rate Slide to Maximize DASH Streaming Bandwidth Utilization. ACM Transactions on Multimedia Computing Communications and Applications. 20(10). 1–24. 1 indexed citations
4.
Seufert, Michael, et al.. (2024). The Missing Link in Network Intrusion Detection: Taking AI/ML Research Efforts to Users. IEEE Access. 12. 79815–79837. 5 indexed citations
5.
Seufert, Michael, Stefan Geißler, Andreas Hotho, et al.. (2024). Marina : Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale. IEEE Transactions on Network and Service Management. 21(3). 2773–2790. 8 indexed citations
6.
Seufert, Michael, et al.. (2024). QoEXplainer: Mediating Explainable Quality of Experience Models with Large Language Models. OPUS (Augsburg University). 72–75. 2 indexed citations
7.
Troìa, Sebastian, Marco Savi, Christian Grasso, et al.. (2024). Edge network softwarization and intelligence: Challenges and opportunities. Computer Networks. 255. 110910–110910.
8.
Seufert, Michael, et al.. (2023). Share and Multiply: Modeling Communication and Generated Traffic in Private WhatsApp Groups. IEEE Access. 11. 25401–25414. 3 indexed citations
9.
Seufert, Michael, et al.. (2023). Want More WANs? Comparison of Traditional and GAN-Based Generation of Wide Area Network Topologies via Graph and Performance Metrics. IEEE Transactions on Network and Service Management. 21(1). 4–19. 3 indexed citations
10.
Seufert, Michael, et al.. (2023). Do you agree? Contrasting Google’s Core Web Vitals and the impact of cookie consent banners with actual web QoE. Online Publication Service of Würzburg University (Würzburg University). 8(1). 1 indexed citations
11.
Metzger, Florian, et al.. (2022). An Introduction to Online Video Game QoS and QoE Influencing Factors. IEEE Communications Surveys & Tutorials. 24(3). 1894–1925. 25 indexed citations
12.
Hirth, Matthias, et al.. (2021). Performance Evaluation of Hybrid Crowdsensing and Fixed Sensor Systems for Event Detection in Urban Environments. Sensors. 21(17). 5880–5880. 4 indexed citations
13.
Seufert, Michael, et al.. (2021). Quality that Matters: QoE Monitoring in Education Service Provider (ESP) Networks. OPUS (Augsburg University). 830–835. 2 indexed citations
14.
Seufert, Michael, et al.. (2021). ML-Assisted Latency Assignments in Time-Sensitive Networking. OPUS (Augsburg University). 116–124. 2 indexed citations
15.
Seufert, Michael, et al.. (2020). Different Points of View: Impact of 3D Point Cloud Reduction on QoE of Rendered Images. OPUS (Augsburg University). 1–6. 5 indexed citations
16.
Seufert, Michael, et al.. (2018). A Fair Share for All: Novel Adaptation Logic for QoE Fairness of HTTP Adaptive Video Streaming. OPUS (Augsburg University). 19–27. 3 indexed citations
17.
Casas, Pedro, et al.. (2018). Enhancing Machine Learning Based QoE Prediction by Ensemble Models. OPUS (Augsburg University). 1642–1647. 10 indexed citations
18.
Casas, Pedro, Michael Seufert, Sebastian Egger, & Raimund Schatz. (2013). Quality of experience in remote virtual desktop services. OPUS (Augsburg University). 1352–1357. 24 indexed citations
19.
Seufert, Michael, et al.. (2013). Socially-Aware Traffic Management.. OPUS (Augsburg University). 1180–1183. 1 indexed citations
20.
Hoßfeld, Tobias, et al.. (2013). Resilience in Enterprise Social Networks.. OPUS (Augsburg University). 1165–1168. 1 indexed citations

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.

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