Daniel Göhring
Impact in
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- Advanced Optical Sensing Technologies
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
Papers in ⓘ
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- Robotics and Sensor-Based Localization 7
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- Target Tracking and Data Fusion in Sensor Networks 5
- AI-based Problem Solving and Planning 2
- Co-authors
- Miao Wang (1 shared paper)Hans-Dieter Burkhard (4 shared papers)Matthias Jüngel (2 shared papers)J. A. Hoffman (1 shared paper)Bingyi Cao (2 shared papers)Raúl Rojas (1 shared paper)Andreas Philipp (1 shared paper)Michael Spranger (1 shared paper)
- Journals
- Fundamenta Informaticae (2 papers)KI - Künstliche Intelligenz (1 paper)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)Refubium (Universitätsbibliothek der Freien Universität Berlin) (2 papers)
- Partner nations
- GermanyUnited States
In The Last Decade
Daniel Göhring
11 papers receiving 182 citations
Peers
Comparison fields: 5 of 41
- Instrumentation 20
- Automotive Engineering 63
- Computer Vision and Pattern Recognition 73
- Aerospace Engineering 83
- Geology 9
Countries citing papers authored by Daniel Göhring
This map shows the geographic impact of Daniel Göhring'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 Göhring with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Göhring more than expected).
Fields of papers citing papers by Daniel Göhring
This network shows the impact of papers produced by Daniel Göhring. 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 Göhring. The network helps show where Daniel Göhring may publish in the future.
Co-authors
The 11 scholars most cited alongside Daniel Göhring, 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 | 2011 | 99 | |
| 2 | 2005 | 31 | |
| 3 | 2006 | 27 | |
| 4 | 2011 | 13 | |
| 5 | 2020 | 10 | |
| 6 | 2021 | 7 | |
| 7 | 2006 | 5 | |
| 8 | 2009 | 4 | |
| 9 | CooperativeWorld Modeling in Dynamic Multi-Robot Environments | 2007 | 3 |
| 10 | 2020 | 2 | |
| 11 | How to Get from Interpolated Keyframes to Neural Attractor Landscapes and Why. | 2007 | 1 |
| 12 | 2008 | 1 | |
| 13 | 2010 | 0 |
About Daniel Göhring
Daniel Göhring is a scholar working on Aerospace Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Control and Systems Engineering, having authored 13 papers that have together received 203 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (7 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers), Video Surveillance and Tracking Methods (2 papers), AI-based Problem Solving and Planning (2 papers), Indoor and Outdoor Localization Technologies (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Robotic Path Planning Algorithms (2 papers) and Constraint Satisfaction and Optimization (2 papers). The work is most often cited by research in Instrumentation (20 citations), Automotive Engineering (63 citations), Computer Vision and Pattern Recognition (73 citations), Aerospace Engineering (83 citations) and Geology (9 citations). Daniel Göhring has collaborated with scholars based in Germany and United States. Frequent co-authors include Miao Wang, Hans-Dieter Burkhard, Matthias Jüngel, J. A. Hoffman, Bingyi Cao, Raúl Rojas, Miao Wang, Andreas Philipp, Michael Spranger and Jan-Erik Hoffmann. Their work appears in journals such as Fundamenta Informaticae, KI - Künstliche Intelligenz, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) and Refubium (Universitätsbibliothek der Freien Universität Berlin).
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.