Journal of Applied Remote Sensing
About
The 3.0k papers published in Journal of Applied Remote Sensing in the last decades have received a total of 33.2k indexed citations.
Papers published in Journal of Applied Remote Sensing usually cover Media Technology (905 papers), Atmospheric Science (862 papers) and Ecology (786 papers) specifically the topics of Remote-Sensing Image Classification (787 papers), Remote Sensing in Agriculture (681 papers) and Remote Sensing and Land Use (437 papers). The most active scholars publishing in Journal of Applied Remote Sensing are Gregory P. Asner, José C. Cabaleiro, D.L. Vilariño, Jorge Martínez Sánchez, Tomás F. Pena, Francisco F. Rivera, Murali Krishna Gumma, Jan van Aardt, Chee Seng Chan and John Ball.
In The Last Decade
Fields of papers published in Journal of Applied Remote Sensing
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 Journal of Applied Remote Sensing. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Journal of Applied Remote Sensing
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Journal of Applied Remote Sensing. 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 Journal of Applied Remote Sensing 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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