Bram Steenwinckel
About
In The Last Decade
Bram Steenwinckel
23 papers receiving 189 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 91
- Computer Networks and Communications 48
- Signal Processing 39
- Control and Systems Engineering 30
- Computer Vision and Pattern Recognition 28
Countries citing papers authored by Bram Steenwinckel
This map shows the geographic impact of Bram Steenwinckel'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 Bram Steenwinckel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bram Steenwinckel more than expected).
Fields of papers citing papers by Bram Steenwinckel
This network shows the impact of papers produced by Bram Steenwinckel. 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 Bram Steenwinckel. The network helps show where Bram Steenwinckel may publish in the future.
Co-authorship network of co-authors of Bram Steenwinckel
This figure shows the co-authorship network connecting the top 25 collaborators of Bram Steenwinckel. A scholar is included among the top collaborators of Bram Steenwinckel 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 Bram Steenwinckel. Bram Steenwinckel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 10 | |
| 13 | 12 | |
| 14 | 4 | |
| 15 | Conditional constraints for knowledge graph embeddings | 0 |
| 16 | 7 | |
| 17 | 20 | |
| 18 | Towards adaptive anomaly detection and root cause analysis by automated extraction of knowledge from risk analyses | 8 |
| 19 | Self-Learning Algorithms for the Personalised Interaction with People with Dementia. | 1 |
| 20 | Automated extraction of rules and knowledge from risk analyses : a ventilation unit demo | 2 |
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.