Daniel Seichter
About
Daniel Seichter is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Civil and Structural Engineering.
According to data from OpenAlex, Daniel Seichter has authored 12 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Aerospace Engineering and 3 papers in Civil and Structural Engineering. Recurrent topics in Daniel Seichter’s work include Advanced Neural Network Applications (6 papers), Robotics and Sensor-Based Localization (6 papers) and Video Surveillance and Tracking Methods (6 papers). Daniel Seichter is often cited by papers focused on Advanced Neural Network Applications (6 papers), Robotics and Sensor-Based Localization (6 papers) and Video Surveillance and Tracking Methods (6 papers). Daniel Seichter collaborates with scholars based in Germany and Austria. Daniel Seichter's co-authors include Horst–Michael Groß, Tim Wengefeld, Markus Eisenbach, Ronny Stricker, Klaus Debes, Karl Amende, Matthias Hahn and Steffen Müller and has published in prestigious journals such as Robotics and Autonomous Systems, arXiv (Cornell University) and 2022 International Conference on Robotics and Automation (ICRA).
In The Last Decade
Co-authorship network of co-authors of Daniel Seichter i
Fields of papers citing papers by Daniel Seichter
Since SpecializationEngineeringComputer 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 Seichter. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Daniel Seichter may publish in the future.
Countries citing papers authored by Daniel Seichter
Since SpecializationCitations
This map shows the geographic impact of Daniel Seichter'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 Seichter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Seichter more than expected).
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