Tobias Hoßfeld

9.0k total citations · 2 hit papers
244 papers, 5.2k citations indexed

About

Tobias Hoßfeld is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Tobias Hoßfeld has authored 244 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Computer Networks and Communications, 97 papers in Computer Vision and Pattern Recognition and 60 papers in Electrical and Electronic Engineering. Recurrent topics in Tobias Hoßfeld's work include Image and Video Quality Assessment (94 papers), Caching and Content Delivery (51 papers) and Network Traffic and Congestion Control (45 papers). Tobias Hoßfeld is often cited by papers focused on Image and Video Quality Assessment (94 papers), Caching and Content Delivery (51 papers) and Network Traffic and Congestion Control (45 papers). Tobias Hoßfeld collaborates with scholars based in Germany, Austria and Norway. Tobias Hoßfeld's co-authors include Phuoc Tran‐Gia, Markus Fiedler, Thomas Zinner, Michael Seufert, Sebastian Egger, Raimund Schatz, Matthias Hirth, Poul E. Heegaard, Martin Slanina and Martı́n Varela and has published in prestigious journals such as Proceedings of the IEEE, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

Tobias Hoßfeld

222 papers receiving 5.0k citations

Hit Papers

A Survey on Quality of Experience of HTTP Adaptive Streaming 2010 2026 2015 2020 2014 2010 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
Tobias Hoßfeld Germany 31 3.0k 2.6k 1.0k 996 941 244 5.2k
Phuoc Tran‐Gia Germany 33 2.0k 0.7× 3.3k 1.3× 1.6k 1.5× 778 0.8× 612 0.7× 183 5.1k
Raimund Schatz Austria 28 2.1k 0.7× 1.3k 0.5× 488 0.5× 497 0.5× 716 0.8× 107 3.0k
Mark Claypool United States 29 1.4k 0.5× 2.0k 0.8× 556 0.5× 402 0.4× 789 0.8× 168 4.1k
Martin Reisslein United States 49 1.8k 0.6× 5.3k 2.0× 5.0k 4.8× 1.1k 1.1× 333 0.4× 323 9.9k
Stefan Saroiu United States 32 1.0k 0.3× 7.0k 2.7× 1.4k 1.3× 775 0.8× 683 0.7× 83 8.7k
Markus Fiedler Sweden 19 1.3k 0.4× 1.1k 0.4× 589 0.6× 356 0.4× 571 0.6× 186 2.5k
Liang Zhou China 34 747 0.2× 2.4k 0.9× 1.9k 1.8× 275 0.3× 190 0.2× 229 4.0k
Ramesh K. Sitaraman United States 34 1.4k 0.5× 3.6k 1.4× 700 0.7× 678 0.7× 309 0.3× 151 4.8k
Chin‐Laung Lei Taiwan 30 908 0.3× 1.3k 0.5× 276 0.3× 259 0.3× 404 0.4× 149 2.9k
Franziska Roesner United States 27 442 0.1× 1.2k 0.5× 1.5k 1.4× 1.2k 1.2× 1000 1.1× 89 4.5k

Countries citing papers authored by Tobias Hoßfeld

Since Specialization
Citations

This map shows the geographic impact of Tobias Hoßfeld'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 Tobias Hoßfeld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Hoßfeld more than expected).

Fields of papers citing papers by Tobias Hoßfeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tobias Hoßfeld. 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 Tobias Hoßfeld. The network helps show where Tobias Hoßfeld may publish in the future.

Co-authorship network of co-authors of Tobias Hoßfeld

This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Hoßfeld. A scholar is included among the top collaborators of Tobias Hoßfeld 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 Tobias Hoßfeld. Tobias Hoßfeld 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
2.
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.
Wikström, Gustav, Marja Matinmikko‐Blue, Henning Breuer, et al.. (2024). Key value indicators: A framework for values-driven next-generation ICT solutions. Telecommunications Policy. 48(6). 102778–102778. 9 indexed citations
4.
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). The Missing Link in Network Intrusion Detection: Taking AI/ML Research Efforts to Users. IEEE Access. 12. 79815–79837. 5 indexed citations
7.
Hoßfeld, Tobias, Poul E. Heegaard, Martı́n Varela, & Michael Jarschel. (2024). User-centric Markov reward model for state-dependent Erlang loss systems. Performance Evaluation. 165. 102425–102425.
8.
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
9.
Herglotz, Christian, Werner Robitza, Alexander Raake, Tobias Hoßfeld, & André Kaup. (2023). Power Reduction Opportunities on End-User Devices in Quality-Steady Video Streaming. 2 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.
Hoßfeld, Tobias, Poul E. Heegaard, & Wolfgang Kellerer. (2023). Comparing the Scalability of Communication Networks and Systems. IEEE Access. 11. 101474–101497. 4 indexed citations
12.
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
13.
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
14.
Wamser, Florian, et al.. (2021). Valid Statements by the Crowd: Statistical Measures for Precision in Crowdsourced Mobile Measurements. MDPI (MDPI AG). 1(2). 215–232. 2 indexed citations
15.
Hoßfeld, Tobias, Lea Skorin‐Kapov, Poul E. Heegaard, & Martı́n Varela. (2018). A new QoE fairness index for QoE management. 3(1). 23 indexed citations
16.
Hirth, Matthias, et al.. (2016). Principles of information neutrality and counter measures against biased information. GI-Jahrestagung. 295–307. 1 indexed citations
17.
Hoßfeld, Tobias, et al.. (2013). Resilience in Enterprise Social Networks.. OPUS (Augsburg University). 1165–1168. 1 indexed citations
18.
Sieber, Christian, Tobias Hoßfeld, Thomas Zinner, Phuoc Tran‐Gia, & Christian Timmerer. (2013). Implementation and user-centric comparison of a novel adaptation logic for DASH with SVC. mediaTUM (Technical University of Munich). 1318–1323. 65 indexed citations
19.
Seufert, Michael, et al.. (2013). Socially-Aware Traffic Management.. OPUS (Augsburg University). 1180–1183. 1 indexed citations
20.
Schatz, Raimund, Tobias Hoßfeld, & Pedro Casas. (2012). Passive YouTube QoE Monitoring for ISPs. 358–364. 69 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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