Sebastian Bosse

2.2k citations
54 papers · 1.5k indexed · 1 hit paper · h-index 18
Topics
Image and Video Quality Assessment (24 papers)Video Coding and Compression Technologies (14 papers)Neural dynamics and brain function (11 papers)

In The Last Decade

Sebastian Bosse

53 papers receiving 1.4k citations

Hit Papers

3D High-Efficiency Video Coding for Multi-View Video and ...2013202620172021201350100150200250

Peers

Sebastian Bosse
Comparison fields: 5 of 91
  • Computer Vision and Pattern Recognition 1.1k
  • Signal Processing 500
  • Cognitive Neuroscience 316
  • Media Technology 261
  • Artificial Intelligence 109
Replace Peter Peer with:
Peter Peer Slovenia
Guee-Sang Lee South Korea
Xiaohua Zhang China
Kjell Brunnström Sweden
Xiuzhuang Zhou China
Martin Lades Germany
Gary B. Huang United States
Jan C. Vorbrüggen Germany
Truong Cong Thang Japan
Mariko Nakano-Miyatake Mexico
Sebastian Bosse relative to Peter Peer Slovenia Peter Peer's profile →
Citations per field
00.5×4.9×
Peter Peer · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 2
3 1
4 1
5 6
6 1
7 16
8 22
9 10
10 1
11 19
12 8
13 50
14 4
15 21
16 101
17
Approaching Real World Behavior: Enhancing External Validity of Psychological Research
1
18 5
19 6
20 8

About Sebastian Bosse

Sebastian Bosse is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Cognitive Neuroscience, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (24 papers), Video Coding and Compression Technologies (14 papers) and Neural dynamics and brain function (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Signal Processing (500 citations) and Media Technology (261 citations). Sebastian Bosse has collaborated with scholars based in Germany, South Korea and United Kingdom. Frequent co-authors include Thomas Wiegand, Wojciech Samek, Gitta Kutyniok, Klaus‐Robert Müller, Rafael Reisenhofer, Heiko Schwarz, Detlev Marpe, Thomas Wiegand, Gabriel Curio and Tobias Hinz. Their work appears in journals such as Scientific Reports, IEEE Transactions on Image Processing and IEEE Access.

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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