Kai Schramm
About
Kai Schramm is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering.
According to data from OpenAlex, Kai Schramm has authored 3 papers receiving a total of 44 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Kai Schramm’s work include Cryptographic Implementations and Security (2 papers), Chaos-based Image/Signal Encryption (2 papers) and Vehicular Ad Hoc Networks (VANETs) (1 paper). Kai Schramm is often cited by papers focused on Cryptographic Implementations and Security (2 papers), Chaos-based Image/Signal Encryption (2 papers) and Vehicular Ad Hoc Networks (VANETs) (1 paper). Kai Schramm collaborates with scholars based in Germany. Kai Schramm's co-authors include Gregor Leander, Axel Pöschmann, Christof Paar, Marko Wolf, André Weimerskirch and Andy Rupp and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, SAE International journal of passenger cars. Electronic and electrical systems and 2022 IEEE International Symposium on Circuits and Systems (ISCAS).
In The Last Decade
Co-authorship network of co-authors of Kai Schramm i
Fields of papers citing papers by Kai Schramm
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 Kai Schramm. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kai Schramm may publish in the future.
Countries citing papers authored by Kai Schramm
Since SpecializationCitations
This map shows the geographic impact of Kai Schramm'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 Kai Schramm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Schramm more than expected).
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