Weed Biology and Management
About
The 585 papers published in Weed Biology and Management in the last decades have received a total of 8.7k indexed citations.
Papers published in Weed Biology and Management usually cover Plant Science (535 papers), Agronomy and Crop Science (103 papers) and Pollution (95 papers) specifically the topics of Weed Control and Herbicide Applications (360 papers), Allelopathy and phytotoxic interactions (218 papers) and Agronomic Practices and Intercropping Systems (96 papers). The most active scholars publishing in Weed Biology and Management are Katsuichiro Kobayashi, Stefano Benvenuti, Yoshiharu Fujii, Krishna N. Reddy, Kenji Usui, A. S. Raghubanshi, Gyan Prakash Sharma, Robert E. Blackshaw, Jamuna Sharan Singh and Hirofumi Yamaguchi.
In The Last Decade
Fields of papers published in Weed Biology and Management
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 Weed Biology and Management. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Weed Biology and Management
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Weed Biology and Management. 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 Weed Biology and Management 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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