Wolfram Burgard
About
In The Last Decade
Wolfram Burgard
495 papers receiving 42.7k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Aerospace Engineering 27.3k
- Computer Vision and Pattern Recognition 26.7k
- Electrical and Electronic Engineering 8.6k
- Artificial Intelligence 8.0k
- Control and Systems Engineering 6.9k
Countries citing papers authored by Wolfram Burgard
This map shows the geographic impact of Wolfram Burgard'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 Wolfram Burgard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wolfram Burgard more than expected).
Fields of papers citing papers by Wolfram Burgard
This network shows the impact of papers produced by Wolfram Burgard. 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 Wolfram Burgard. The network helps show where Wolfram Burgard may publish in the future.
Co-authorship network of co-authors of Wolfram Burgard
This figure shows the co-authorship network connecting the top 25 collaborators of Wolfram Burgard. A scholar is included among the top collaborators of Wolfram Burgard 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 Wolfram Burgard. Wolfram Burgard 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 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 13 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 18 | |
| 13 | 1 | |
| 14 | The limits and potentials of deep learning for robotics breakdown → | 309 |
| 15 | 126 | |
| 16 | 9 | |
| 17 | Deep learning with convolutional neural networks for brain mapping and decoding of movement-related information from the human EEG. | 41 |
| 18 | Improved Rao-Blackwellized Mapping by Adaptive Sampling and Active Loop-Closure | 19 |
| 19 | Using Coverage Maps to Represent the Environment of Mobile Robots | 1 |
| 20 | Monte Carlo localization: efficient position estimation for mobile robots breakdown → | 744 |
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.