Gabriel Kalweit
About
In The Last Decade
Gabriel Kalweit
15 papers receiving 121 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 54
- Rheumatology 40
- Control and Systems Engineering 27
- Pathology and Forensic Medicine 17
- Computer Vision and Pattern Recognition 13
Countries citing papers authored by Gabriel Kalweit
This map shows the geographic impact of Gabriel Kalweit'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 Gabriel Kalweit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Kalweit more than expected).
Fields of papers citing papers by Gabriel Kalweit
This network shows the impact of papers produced by Gabriel Kalweit. 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 Gabriel Kalweit. The network helps show where Gabriel Kalweit may publish in the future.
Co-authorship network of co-authors of Gabriel Kalweit
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Kalweit. A scholar is included among the top collaborators of Gabriel Kalweit 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 Gabriel Kalweit. Gabriel Kalweit 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 18 | |
| 10 | 25 | |
| 11 | 2 | |
| 12 | 26 | |
| 13 | AnyNets: Adaptive Deep Neural Networks for Medical Data with Missing Values. | 0 |
| 14 | 3 | |
| 15 | 1 | |
| 16 | Interpretable Multi Time-scale Constraints in Model-free Deep Reinforcement Learning for Autonomous Driving. | 1 |
| 17 | Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning | 28 |
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.