Daniel Goehring

13 papers and 163 indexed citations i.

About

Daniel Goehring is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, Daniel Goehring has authored 13 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Automotive Engineering and 4 papers in Aerospace Engineering. Recurrent topics in Daniel Goehring’s work include Autonomous Vehicle Technology and Safety (6 papers), Robotics and Sensor-Based Localization (4 papers) and Robotic Path Planning Algorithms (4 papers). Daniel Goehring is often cited by papers focused on Autonomous Vehicle Technology and Safety (6 papers), Robotics and Sensor-Based Localization (4 papers) and Robotic Path Planning Algorithms (4 papers). Daniel Goehring collaborates with scholars based in Germany and United States. Daniel Goehring's co-authors include Raúl Rojas, Mario Fritz, Trevor Darrell, Hyun Oh Song, Stefan Lange, Tobias Langner, Andreas Philipp, Daniel Neumann, Bingyi Cao and Mostafa Mohammadi and has published in prestigious journals such as IEEE Transactions on Automation Science and Engineering, IEEE Robotics and Automation Letters and 2022 International Conference on Robotics and Automation (ICRA).

In The Last Decade

Co-authorship network of co-authors of Daniel Goehring i

Fields of papers citing papers by Daniel Goehring

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Daniel Goehring. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Daniel Goehring may publish in the future.

Countries citing papers authored by Daniel Goehring

Since Specialization
Citations

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).

Rankless by CCL
2025