Daniel Göhring
Impact in
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
Papers in
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- Target Tracking and Data Fusion in Sensor Networks 9
- AI-based Problem Solving and Planning 3
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- Robotics and Sensor-Based Localization 11
- Co-authors
- Miao Wang (3 shared papers)Raúl Rojas (2 shared papers)Hans-Dieter Burkhard (6 shared papers)Matthias Jüngel (3 shared papers)J. A. Hoffman (1 shared paper)Jan Hoffmann (3 shared papers)Bingyi Cao (2 shared papers)Miao Wang (1 shared paper)
- Journals
- Springer tracts in advanced robotics (1 paper)Lecture notes in computer science (5 papers)Fundamenta Informaticae (2 papers)KI - Künstliche Intelligenz (1 paper)Advances in intelligent systems and computing (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Daniel Göhring
18 papers receiving 309 citations
Peers
Comparison fields: 5 of 53
- Automotive Engineering 79
- Instrumentation 21
- Computer Vision and Pattern Recognition 106
- Aerospace Engineering 118
- Cognitive Neuroscience 66
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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 106 | |
| 2 | 2012 | 79 | |
| 3 | 2005 | 36 | |
| 4 | 2006 | 31 | |
| 5 | 2011 | 15 | |
| 6 | 2006 | 13 | |
| 7 | 2020 | 10 | |
| 8 | 2005 | 9 | |
| 9 | 2021 | 8 | |
| 10 | 2006 | 6 | |
| 11 | 2009 | 5 | |
| 12 | 2008 | 5 | |
| 13 | 2009 | 4 | |
| 14 | CooperativeWorld Modeling in Dynamic Multi-Robot Environments | 2007 | 3 |
| 15 | 2008 | 3 | |
| 16 | How to Get from Interpolated Keyframes to Neural Attractor Landscapes and Why. | 2007 | 3 |
| 17 | 2013 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2007 | 1 | |
| 20 | 2008 | 1 |
About Daniel Göhring
Daniel Göhring is a scholar working on Artificial Intelligence, Aerospace Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications and Control and Systems Engineering, having authored 21 papers that have together received 343 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (11 papers), Target Tracking and Data Fusion in Sensor Networks (9 papers), Robotic Path Planning Algorithms (4 papers), Autonomous Vehicle Technology and Safety (3 papers), Data Management and Algorithms (3 papers), AI-based Problem Solving and Planning (3 papers), Indoor and Outdoor Localization Technologies (3 papers) and Constraint Satisfaction and Optimization (3 papers). The work is most often cited by research in Automotive Engineering (79 citations), Instrumentation (21 citations), Computer Vision and Pattern Recognition (106 citations), Aerospace Engineering (118 citations) and Cognitive Neuroscience (66 citations). Daniel Göhring has collaborated with scholars based in Germany and United States. Frequent co-authors include Miao Wang, Raúl Rojas, Hans-Dieter Burkhard, Matthias Jüngel, J. A. Hoffman, Jan Hoffmann, Bingyi Cao, Miao Wang, Michael Spranger and Andreas Philipp. Their work appears in journals such as Springer tracts in advanced robotics, Lecture notes in computer science, Fundamenta Informaticae, KI - Künstliche Intelligenz and Advances in intelligent systems and computing.
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.