Sebastian Bosse

2.2k total citations · 1 hit paper
54 papers, 1.5k citations indexed

About

Sebastian Bosse is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Sebastian Bosse has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 18 papers in Cognitive Neuroscience and 14 papers in Signal Processing. Recurrent topics in Sebastian Bosse's work include Image and Video Quality Assessment (24 papers), Video Coding and Compression Technologies (14 papers) and Neural dynamics and brain function (11 papers). Sebastian Bosse is often cited by papers focused on Image and Video Quality Assessment (24 papers), Video Coding and Compression Technologies (14 papers) and Neural dynamics and brain function (11 papers). Sebastian Bosse collaborates with scholars based in Germany, South Korea and United Kingdom. Sebastian Bosse's co-authors include Thomas Wiegand, Wojciech Samek, Klaus‐Robert Müller, Gitta Kutyniok, Rafael Reisenhofer, Heiko Schwarz, Detlev Marpe, Thomas Wiegand, Gabriel Curio and Tobias Hinz and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Sebastian Bosse

53 papers receiving 1.4k citations

Hit Papers

3D High-Efficiency Video ... 2013 2026 2017 2021 2013 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sebastian Bosse Germany 18 1.1k 500 316 261 109 54 1.5k
Martin Lades Germany 6 1.4k 1.3× 468 0.9× 221 0.7× 225 0.9× 215 2.0× 13 1.7k
Sonja Grgić Croatia 18 1.5k 1.4× 397 0.8× 158 0.5× 377 1.4× 177 1.6× 97 1.9k
Xiaohua Zhang China 12 940 0.9× 199 0.4× 102 0.3× 244 0.9× 84 0.8× 36 1.2k
Saad Sirohey United States 6 1.8k 1.7× 485 1.0× 63 0.2× 234 0.9× 151 1.4× 10 2.0k
Jan C. Vorbrüggen Germany 5 1.0k 1.0× 268 0.5× 193 0.6× 171 0.7× 165 1.5× 5 1.3k
Hatim Aboalsamh Saudi Arabia 20 567 0.5× 201 0.4× 272 0.9× 104 0.4× 300 2.8× 97 1.3k
Emanuele Maiorana Italy 25 878 0.8× 1.2k 2.4× 584 1.8× 90 0.3× 195 1.8× 94 2.1k
William J. Worek United States 5 1.7k 1.6× 788 1.6× 176 0.6× 117 0.4× 146 1.3× 6 2.0k
Long Mai United States 18 1.5k 1.4× 184 0.4× 125 0.4× 364 1.4× 156 1.4× 32 1.8k
Ee Ping Ong Singapore 19 1.3k 1.2× 355 0.7× 90 0.3× 325 1.2× 48 0.4× 88 1.5k

Countries citing papers authored by Sebastian Bosse

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Bosse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Bosse

This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Bosse. A scholar is included among the top collaborators of Sebastian Bosse 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 Sebastian Bosse. Sebastian Bosse 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.
Hilsmann, Anna, Peter Eisert, Arno Villringer, et al.. (2024). Realness of face images can be decoded from non-linear modulation of EEG responses. Scientific Reports. 14(1). 5683–5683. 2 indexed citations
3.
Eisert, Peter, et al.. (2023). Data Fusion for Cross-Domain Real-Time Object Detection on the Edge. Sensors. 23(13). 6138–6138. 1 indexed citations
4.
Samek, Wojciech, et al.. (2023). Human-Centered Evaluation of XAI Methods. Zenodo (CERN European Organization for Nuclear Research). 912–921. 1 indexed citations
5.
Wallendael, Glenn Van, et al.. (2021). On the Link Between Subjective Score Prediction and Disagreement of Video Quality Metrics. IEEE Access. 9. 152923–152937. 6 indexed citations
6.
Bosse, Sebastian, et al.. (2021). Reproducibility Companion Paper. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 3619–3621. 1 indexed citations
7.
Bosse, Sebastian, et al.. (2020). Exploring neural and peripheral physiological correlates of simulator sickness. Computer Animation and Virtual Worlds. 31(4-5). 16 indexed citations
8.
Zadtootaghaj, Saman, et al.. (2020). NDNetGaming - development of a no-reference deep CNN for gaming video quality prediction. Multimedia Tools and Applications. 81(3). 3181–3203. 23 indexed citations
9.
Barzegaran, Elham, Sebastian Bosse, Peter J. Kohler, & Anthony M. Norcia. (2019). EEGSourceSim: A framework for realistic simulation of EEG scalp data using MRI-based forward models and biologically plausible signals and noise. Journal of Neuroscience Methods. 328. 108377–108377. 22 indexed citations
10.
Bosse, Sebastian, Kjell Brunnström, Sebastian Arndt, et al.. (2019). A common framework for the evaluation of psychophysiological visual quality assessment. Research Repository (Kingston University London). 4(1). 10 indexed citations
11.
Bosse, Sebastian, Sören Becker, Christian R. Helmrich, et al.. (2019). Neural Network Guided Perceptually Optimized Bit-Allocation for Block-Based Image and Video Compression. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 126–130. 4 indexed citations
12.
Helmrich, Christian R., et al.. (2018). A Spectrally Adaptive Noise Filling Tool for Perceptual Transform Coding of Still Images. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 19. 1–6. 1 indexed citations
13.
Bosse, Sebastian, et al.. (2016). Shearlet-based reduced reference image quality assessment. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 2. 2052–2056. 8 indexed citations
14.
Bosse, Sebastian, et al.. (2015). Rate-distortion optimised quantisation for HEVC using spatial just noticeable distortion. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 24. 110–114. 4 indexed citations
15.
Acqualagna, Laura, Sebastian Bosse, Anne K. Porbadnigk, et al.. (2015). EEG-based classification of video quality perception using steady state visual evoked potentials (SSVEPs). Journal of Neural Engineering. 12(2). 26012–26012. 50 indexed citations
16.
Bosse, Sebastian, Matthias S. Treder, Benjamin Blankertz, et al.. (2012). Toward a Direct Measure of Video Quality Perception Using EEG. IEEE Transactions on Image Processing. 21(5). 2619–2629. 101 indexed citations
17.
Lange, Florian, Sebastian Bosse, & Frank Eggert. (2012). Approaching Real World Behavior: Enhancing External Validity of Psychological Research. 1 indexed citations
18.
Marpe, Detlev, Heiko Schwarz, Thomas Wiegand, et al.. (2011). Improved video compression technology and the emerging high efficiency video coding standard. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 52–56. 5 indexed citations
19.
Marpe, Detlev, Heiko Schwarz, Sebastian Bosse, et al.. (2010). Highly efficient video compression using quadtree structures and improved techniques for motion representation and entropy coding. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 206–209. 6 indexed citations
20.
Bosse, Sebastian, et al.. (2010). Separable Wiener filter based adaptive in-loop filter for video coding. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). wg11. 70–73. 8 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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