Sebastian Bremm
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Transportation top 10%
- Geography, Planning and Development top 5%
- Co-authors
- Tatiana von LandesbergerTobias SchreckGennady AndrienkoNatalia AndrienkoDaniel A. KeimPeter Michael BakMartin HeßJürgen Bernard
- Topics
- Data Visualization and Analytics (17 papers)Data Management and Algorithms (6 papers)Image Retrieval and Classification Techniques (5 papers)
In The Last Decade
Sebastian Bremm
26 papers receiving 506 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 380
- Signal Processing 152
- Artificial Intelligence 143
- Transportation 59
- Geography, Planning and Development 55
Countries citing papers authored by Sebastian Bremm
This map shows the geographic impact of Sebastian Bremm'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 Bremm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Bremm more than expected).
Fields of papers citing papers by Sebastian Bremm
This network shows the impact of papers produced by Sebastian Bremm. 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 Bremm. The network helps show where Sebastian Bremm may publish in the future.
Co-authorship network of co-authors of Sebastian Bremm
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Bremm. A scholar is included among the top collaborators of Sebastian Bremm 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 Bremm. Sebastian Bremm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 16 | |
| 4 | 6 | |
| 5 | 16 | |
| 6 | 24 | |
| 7 | 17 | |
| 8 | 54 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 35 | |
| 12 | 13 | |
| 13 | 14 | |
| 14 | 25 | |
| 15 | 57 | |
| 16 | 101 | |
| 17 | 1 | |
| 18 | Micro-Macro Views for Visual Trajectory Cluster Analysis | 4 |
| 19 | 2 | |
| 20 | 3 |
About Sebastian Bremm
Sebastian Bremm is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 26 papers that have together received 524 indexed citations. Recurring topics across this work include Data Visualization and Analytics (17 papers), Data Management and Algorithms (6 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (380 citations), Signal Processing (152 citations) and Geography, Planning and Development (55 citations). Sebastian Bremm has collaborated with scholars based in Germany and Slovakia. Frequent co-authors include Tatiana von Landesberger, Tobias Schreck, Gennady Andrienko, Natalia Andrienko, Daniel A. Keim, Peter Michael Bak, Martin Heß, Jürgen Bernard, Dieter W. Fellner and Arjan Kuijper. Their work appears in journals such as Expert Systems with Applications, BMC Bioinformatics and Journal of Immunological Methods.
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.