Frieder Ganz
About
Frieder Ganz is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Frieder Ganz has authored 13 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Frieder Ganz’s work include Time Series Analysis and Forecasting (6 papers), Data Management and Algorithms (5 papers) and Energy Efficient Wireless Sensor Networks (3 papers). Frieder Ganz is often cited by papers focused on Time Series Analysis and Forecasting (6 papers), Data Management and Algorithms (5 papers) and Energy Efficient Wireless Sensor Networks (3 papers). Frieder Ganz collaborates with scholars based in United Kingdom, United States and Japan. Frieder Ganz's co-authors include Payam Barnaghi, François Carrez, Daniel Puschmann, María Bermúdez-Edo, Jun-Yan Zhu, Song Han, Richard Zhang, Ji Lin, Shirin Enshaeifar and Klaus Moessner and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Internet of Things Journal and IEEE Sensors Journal.
In The Last Decade
Co-authorship network of co-authors of Frieder Ganz i
Fields of papers citing papers by Frieder Ganz
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 Frieder Ganz. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Frieder Ganz may publish in the future.
Countries citing papers authored by Frieder Ganz
Since SpecializationCitations
This map shows the geographic impact of Frieder Ganz'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 Frieder Ganz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frieder Ganz more than expected).
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