Daniel Meyer-Delius
Impact in
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- Robotic Path Planning Algorithms
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
Papers in
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- Robotic Path Planning Algorithms 6
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- Bayesian Modeling and Causal Inference 2
- Target Tracking and Data Fusion in Sensor Networks 2
- Co-authors
- Wolfram Burgard (9 shared papers)Gian Diego Tipaldi (1 shared paper)Christian Plagemann (2 shared papers)Alexander Kleiner (3 shared papers)Giorgio Grisetti (1 shared paper)Matthias Luber (1 shared paper)Boris Lau (1 shared paper)Óscar Martínez Mozos (1 shared paper)
- Journals
- Springer tracts in advanced robotics (1 paper)The International Journal of Robotics Research (1 paper)Robotics and Autonomous Systems (1 paper)Studies in classification, data analysis, and knowledge organization (1 paper)2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (2 papers)
- Partner nations
- GermanyUnited States
In The Last Decade
Daniel Meyer-Delius
12 papers receiving 355 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 185
- Aerospace Engineering 203
- Automotive Engineering 82
- Geology 23
- Signal Processing 40
Countries citing papers authored by Daniel Meyer-Delius
This map shows the geographic impact of Daniel Meyer-Delius'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 Daniel Meyer-Delius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Meyer-Delius more than expected).
Fields of papers citing papers by Daniel Meyer-Delius
This network shows the impact of papers produced by Daniel Meyer-Delius. 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 Daniel Meyer-Delius. The network helps show where Daniel Meyer-Delius may publish in the future.
Co-authors
The 15 scholars most cited alongside Daniel Meyer-Delius, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 97 | |
| 2 | 2009 | 68 | |
| 3 | 2010 | 53 | |
| 4 | 2021 | 34 | |
| 5 | 2012 | 29 | |
| 6 | 2011 | 25 | |
| 7 | 2011 | 25 | |
| 8 | 2008 | 19 | |
| 9 | 2011 | 12 | |
| 10 | 2009 | 9 | |
| 11 | 2009 | 9 | |
| 12 | 2013 | 3 |
About Daniel Meyer-Delius
Daniel Meyer-Delius is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Aerospace Engineering and Automotive Engineering, having authored 12 papers that have together received 383 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (6 papers), Robotics and Sensor-Based Localization (5 papers), Data Management and Algorithms (4 papers), Transportation and Mobility Innovations (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Bayesian Modeling and Causal Inference (2 papers), Indoor and Outdoor Localization Technologies (2 papers) and Target Tracking and Data Fusion in Sensor Networks (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (185 citations), Aerospace Engineering (203 citations), Automotive Engineering (82 citations), Geology (23 citations) and Signal Processing (40 citations). Daniel Meyer-Delius has collaborated with scholars based in Germany and United States. Frequent co-authors include Wolfram Burgard, Gian Diego Tipaldi, Christian Plagemann, Alexander Kleiner, Giorgio Grisetti, Matthias Luber, Boris Lau, Óscar Martínez Mozos, Kai O. Arras and Slawomir Grzonka. Their work appears in journals such as Springer tracts in advanced robotics, The International Journal of Robotics Research, Robotics and Autonomous Systems, Studies in classification, data analysis, and knowledge organization and 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
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.