Image Analysis & Stereology
About
The 704 papers published in Image Analysis & Stereology in the last decades have received a total of 5.6k indexed citations.
Papers published in Image Analysis & Stereology usually cover Computer Vision and Pattern Recognition (177 papers), Applied Mathematics (97 papers) and Mechanical Engineering (53 papers) specifically the topics of Point processes and geometric inequalities (94 papers), Medical Image Segmentation Techniques (71 papers) and Morphological variations and asymmetry (47 papers). The most active scholars publishing in Image Analysis & Stereology are Nicolas Hautière, Didier Aubert, Jean‐Philippe Tarel, Éric Dumont, Dominique Jeulin, Piet Stroeven, Luis M. Cruz‐Orive, Étienne Decencière, Richard C. Ordoñez and Xiwei Zhang.
In The Last Decade
Fields of papers published in Image Analysis & Stereology
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 published in Image Analysis & Stereology. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Image Analysis & Stereology
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Image Analysis & Stereology. It shows the number of citations received by papers published by authors working in each country. You can also color the map by specialization and compare the number of papers published in Image Analysis & Stereology with the expected number of papers based on a country's size and research output (numbers larger than one mean the country's share of papers is larger than expected).
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