Mathias Gehrig
About
Mathias Gehrig is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence.
According to data from OpenAlex, Mathias Gehrig has authored 26 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Mathias Gehrig’s work include Advanced Memory and Neural Computing (15 papers), CCD and CMOS Imaging Sensors (6 papers) and Advanced Neural Network Applications (5 papers). Mathias Gehrig is often cited by papers focused on Advanced Memory and Neural Computing (15 papers), CCD and CMOS Imaging Sensors (6 papers) and Advanced Neural Network Applications (5 papers). Mathias Gehrig collaborates with scholars based in Switzerland, United States and Germany. Mathias Gehrig's co-authors include Davide Scaramuzza, Daniel Gehrig, Javier Hidalgo‐Carrió, Guillermo Gallego, Elia Kaufmann, Philipp Foehn, Dario Brescianini, Stepan Tulyakov, Stamatios Georgoulis and Titus Cieslewski and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cerebral Blood Flow & Metabolism and Autonomous Robots.
In The Last Decade
Co-authorship network of co-authors of Mathias Gehrig i
Fields of papers citing papers by Mathias 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 Mathias Gehrig. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Mathias Gehrig may publish in the future.
Countries citing papers authored by Mathias Gehrig
Since SpecializationCitations
This map shows the geographic impact of Mathias 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 Mathias Gehrig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Gehrig more than expected).
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