Daniel Gehrig
About
Daniel Gehrig is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering.
According to data from OpenAlex, Daniel Gehrig has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Aerospace Engineering. Recurrent topics in Daniel Gehrig’s work include Advanced Memory and Neural Computing (14 papers), CCD and CMOS Imaging Sensors (6 papers) and Advanced Neural Network Applications (5 papers). Daniel Gehrig is often cited by papers focused on Advanced Memory and Neural Computing (14 papers), CCD and CMOS Imaging Sensors (6 papers) and Advanced Neural Network Applications (5 papers). Daniel Gehrig collaborates with scholars based in Switzerland, France and China. Daniel Gehrig's co-authors include Davide Scaramuzza, Mathias Gehrig, Javier Hidalgo‐Carrió, Konstantinos G. Derpanis, Antonio Loquercio, Guillermo Gallego, Henri Rebecq, Stepan Tulyakov, Stamatios Georgoulis and Carolin C. Wendling and has published in prestigious journals such as Nature, IEEE Transactions on Pattern Analysis and Machine Intelligence and Philosophical Transactions of the Royal Society B Biological Sciences.
In The Last Decade
Co-authorship network of co-authors of Daniel Gehrig i
Fields of papers citing papers by Daniel Gehrig
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 Gehrig. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Daniel Gehrig may publish in the future.
Countries citing papers authored by Daniel Gehrig
Since SpecializationCitations
This map shows the geographic impact of Daniel Gehrig'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 Gehrig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gehrig more than expected).
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