Peer Neubert

21 papers and 349 indexed citations i.

About

Peer Neubert is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Peer Neubert has authored 21 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 12 papers in Aerospace Engineering and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Peer Neubert’s work include Robotics and Sensor-Based Localization (12 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Ferroelectric and Negative Capacitance Devices (5 papers). Peer Neubert is often cited by papers focused on Robotics and Sensor-Based Localization (12 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Ferroelectric and Negative Capacitance Devices (5 papers). Peer Neubert collaborates with scholars based in Germany, Sweden and United States. Peer Neubert's co-authors include Peter Protzel, Stefan Schubert, Niko Sünderhauf, Tom Duckett and Dmitri A. Rachkovskij and has published in prestigious journals such as IEEE Sensors Journal, Artificial Intelligence Review and Robotics and Autonomous Systems.

In The Last Decade

Fields of papers citing papers by Peer Neubert

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 Peer Neubert. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Peer Neubert may publish in the future.

Countries citing papers authored by Peer Neubert

Since Specialization
Citations

This map shows the geographic impact of Peer Neubert'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 Peer Neubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peer Neubert more than expected).

Rankless by CCL
2025