Daniel Goehring
Impact in
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
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- Advanced Neural Network Applications
- Robotic Path Planning Algorithms
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
Papers in
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- Robotic Path Planning Algorithms 7
- Advanced Neural Network Applications 3
- Video Surveillance and Tracking Methods 3
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- Autonomous Vehicle Technology and Safety 10
- Co-authors
- Raúl Rojas (11 shared papers)Daniel Neumann (2 shared papers)Tobias Langner (3 shared papers)Trevor Darrell (2 shared papers)Mario Fritz (1 shared paper)Hyun Oh Song (1 shared paper)Stefan Lange (1 shared paper)Andreas Philipp (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (3 papers)IEEE Transactions on Automation Science and Engineering (1 paper)FreiDok plus (Universitätsbibliothek Freiburg) (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Daniel Goehring
24 papers receiving 300 citations
Peers
Comparison fields: 5 of 52
- Automotive Engineering 108
- Computer Vision and Pattern Recognition 154
- Aerospace Engineering 93
- Geology 19
- Control and Systems Engineering 79
Countries citing papers authored by Daniel Goehring
This map shows the geographic impact of Daniel Goehring'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 Goehring with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Goehring more than expected).
Fields of papers citing papers by Daniel Goehring
This network shows the impact of papers produced by Daniel Goehring. 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 Goehring. The network helps show where Daniel Goehring may publish in the future.
Co-authors
The 18 scholars most cited alongside Daniel Goehring, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 61 | |
| 2 | 2015 | 36 | |
| 3 | 2017 | 35 | |
| 4 | 2017 | 35 | |
| 5 | 2016 | 23 | |
| 6 | 2016 | 21 | |
| 7 | 2019 | 16 | |
| 8 | 2021 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2014 | 10 | |
| 11 | 2020 | 8 | |
| 12 | 2018 | 7 | |
| 13 | 2017 | 6 | |
| 14 | 2023 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2021 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2019 | 2 |
About Daniel Goehring
Daniel Goehring is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Control and Systems Engineering, Aerospace Engineering and Electrical and Electronic Engineering, having authored 28 papers that have together received 310 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (10 papers), Robotics and Sensor-Based Localization (7 papers), Robotic Path Planning Algorithms (7 papers), Industrial Vision Systems and Defect Detection (4 papers), Robot Manipulation and Learning (4 papers), Advanced Control Systems Optimization (3 papers), Advanced Neural Network Applications (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Automotive Engineering (108 citations), Computer Vision and Pattern Recognition (154 citations), Aerospace Engineering (93 citations), Geology (19 citations) and Control and Systems Engineering (79 citations). Daniel Goehring has collaborated with scholars based in Germany and United States. Frequent co-authors include Raúl Rojas, Daniel Neumann, Tobias Langner, Trevor Darrell, Mario Fritz, Hyun Oh Song, Stefan Lange, Andreas Philipp, Bennet Fischer and Bingyi Cao. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Automation Science and Engineering and FreiDok plus (Universitätsbibliothek Freiburg).
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.