Sebastian Bruch
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Management Science and Operations Research
- Signal Processing
- Co-authors
- Michael BenderskyMarc NajorkXuanhui WangFranco Maria NardiniMasrour ZoghiShuguang HanClaudio LuccheseAmir Ingber
- Topics
- Advanced Image and Video Retrieval Techniques (9 papers)Machine Learning and Algorithms (4 papers)Topic Modeling (4 papers)
- Journals
- ACM Transactions on Information SystemsACM SIGIR ForumResearch at the University of Copenhagen (University of Copenhagen)
- Partner nations
- ItalyUnited StatesAustralia
In The Last Decade
Sebastian Bruch
16 papers receiving 188 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 126
- Computer Vision and Pattern Recognition 72
- Information Systems 63
- Management Science and Operations Research 23
- Signal Processing 22
Countries citing papers authored by Sebastian Bruch
This map shows the geographic impact of Sebastian Bruch'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 Bruch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Bruch more than expected).
Fields of papers citing papers by Sebastian Bruch
This network shows the impact of papers produced by Sebastian Bruch. 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 Bruch. The network helps show where Sebastian Bruch may publish in the future.
Co-authorship network of co-authors of Sebastian Bruch
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Bruch. A scholar is included among the top collaborators of Sebastian Bruch 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 Bruch. Sebastian Bruch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 12 | |
| 12 | 9 | |
| 13 | 4 | |
| 14 | 36 | |
| 15 | 6 | |
| 16 | 58 | |
| 17 | 38 | |
| 18 | 1 |
About Sebastian Bruch
Sebastian Bruch is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 18 papers that have together received 195 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Machine Learning and Algorithms (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Artificial Intelligence (126 citations), Computer Vision and Pattern Recognition (72 citations) and Information Systems (63 citations). Sebastian Bruch has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Michael Bendersky, Marc Najork, Xuanhui Wang, Franco Maria Nardini, Masrour Zoghi, Shuguang Han, Claudio Lucchese, Amir Ingber, Edo Liberty and Joel Mackenzie. Their work appears in journals such as ACM Transactions on Information Systems, ACM SIGIR Forum and Research at the University of Copenhagen (University of Copenhagen).
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.