Chen Sagiv
About
Chen Sagiv is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics and Biophysics.
According to data from OpenAlex, Chen Sagiv has authored 11 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 3 papers in Applied Mathematics and 1 paper in Biophysics. Recurrent topics in Chen Sagiv’s work include Image and Signal Denoising Methods (4 papers), Medical Image Segmentation Techniques (4 papers) and Advanced Vision and Imaging (3 papers). Chen Sagiv is often cited by papers focused on Image and Signal Denoising Methods (4 papers), Medical Image Segmentation Techniques (4 papers) and Advanced Vision and Imaging (3 papers). Chen Sagiv collaborates with scholars based in Israel, Germany and Switzerland. Chen Sagiv's co-authors include Peter Maaß, Nir Sochen, Yehoshua Y. Zeevi, Ron Tepper and Theodore Alexandrov and has published in prestigious journals such as IEEE Transactions on Image Processing, SIAM Journal on Applied Mathematics and Ultrasound in Medicine & Biology.
In The Last Decade
Fields of papers citing papers by Chen Sagiv
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 Chen Sagiv. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Chen Sagiv may publish in the future.
Countries citing papers authored by Chen Sagiv
Since SpecializationCitations
This map shows the geographic impact of Chen Sagiv'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 Chen Sagiv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Sagiv more than expected).
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