Daniel Goehring
Impact in
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
-
- Robotic Path Planning Algorithms
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
Papers in
-
- Robotic Path Planning Algorithms 7
- Advanced Neural Network Applications 4
-
- Autonomous Vehicle Technology and Safety 11
- Co-authors
- Raúl Rojas (12 shared papers)Daniel Neumann (2 shared papers)Tobias Langner (3 shared papers)Trevor Darrell (2 shared papers)Hyun Oh Song (1 shared paper)Mario Fritz (1 shared paper)Andreas Philipp (1 shared paper)Stefan Lange (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (3 papers)IEEE Transactions on Automation Science and Engineering (1 paper)Communications in computer and information science (1 paper)Open MIND (1 paper)FreiDok plus (Universitätsbibliothek Freiburg) (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Daniel Goehring
26 papers receiving 327 citations
Peers
Comparison fields: 5 of 54
- Automotive Engineering 116
- Computer Vision and Pattern Recognition 164
- Aerospace Engineering 96
- Control and Systems Engineering 87
- Geology 21
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 20 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 62 | |
| 2 | 2017 | 38 | |
| 3 | 2017 | 38 | |
| 4 | 2015 | 38 | |
| 5 | 2016 | 25 | |
| 6 | 2016 | 23 | |
| 7 | 2019 | 16 | |
| 8 | 2023 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2014 | 11 | |
| 11 | 2020 | 9 | |
| 12 | 2018 | 8 | |
| 13 | 2017 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2019 | 4 | |
| 16 | 2020 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2019 | 3 |
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 30 papers that have together received 337 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (11 papers), Robotics and Sensor-Based Localization (7 papers), Robotic Path Planning Algorithms (7 papers), Advanced Neural Network Applications (4 papers), Robot Manipulation and Learning (4 papers), Industrial Vision Systems and Defect Detection (4 papers), Traffic control and management (4 papers) and Traffic Prediction and Management Techniques (3 papers). The work is most often cited by research in Automotive Engineering (116 citations), Computer Vision and Pattern Recognition (164 citations), Aerospace Engineering (96 citations), Control and Systems Engineering (87 citations) and Geology (21 citations). Daniel Goehring has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Raúl Rojas, Daniel Neumann, Tobias Langner, Trevor Darrell, Hyun Oh Song, Mario Fritz, Andreas Philipp, Stefan Lange, Bennet Fischer and Erik Rodner. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Automation Science and Engineering, Communications in computer and information science, Open MIND 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.