Daniel Meyer-Delius
Impact in
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization
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- Robotic Path Planning Algorithms
- Advanced Image and Video Retrieval Techniques
Papers in
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- Robotic Path Planning Algorithms 6
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- Target Tracking and Data Fusion in Sensor Networks 2
- Co-authors
- Wolfram Burgard (7 shared papers)Gian Diego Tipaldi (1 shared paper)Christian Plagemann (1 shared paper)Alexander Kleiner (3 shared papers)Giorgio Grisetti (1 shared paper)Jürgen Sturm (1 shared paper)Patrick Pfaff (1 shared paper)
- Journals
- Robotics and Autonomous Systems (1 paper)The International Journal of Robotics Research (1 paper)IRIS Research product catalog (Sapienza University of Rome) (1 paper)KTH Publication Database DiVA (KTH Royal Institute of Technology) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Daniel Meyer-Delius
10 papers receiving 276 citations
Peers
Comparison fields: 5 of 38
- Aerospace Engineering 178
- Computer Vision and Pattern Recognition 143
- Automotive Engineering 61
- Geology 22
- Signal Processing 32
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 7 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 | 90 | |
| 2 | 2009 | 58 | |
| 3 | 2010 | 48 | |
| 4 | 2021 | 33 | |
| 5 | 2011 | 25 | |
| 6 | 2011 | 22 | |
| 7 | 2009 | 9 | |
| 8 | 2009 | 8 | |
| 9 | 2011 | 5 | |
| 10 | 2013 | 3 |
About Daniel Meyer-Delius
Daniel Meyer-Delius is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Signal Processing and Automotive Engineering, having authored 10 papers that have together received 301 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 (3 papers), Time Series Analysis and Forecasting (2 papers), Indoor and Outdoor Localization Technologies (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Transportation and Mobility Innovations (2 papers) and Autonomous Vehicle Technology and Safety (2 papers). The work is most often cited by research in Aerospace Engineering (178 citations), Computer Vision and Pattern Recognition (143 citations), Automotive Engineering (61 citations), Geology (22 citations) and Signal Processing (32 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, Jürgen Sturm and Patrick Pfaff. Their work appears in journals such as Robotics and Autonomous Systems, The International Journal of Robotics Research, IRIS Research product catalog (Sapienza University of Rome), KTH Publication Database DiVA (KTH Royal Institute of Technology) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.