Bioresource Technology
About
The 30.8k papers published in Bioresource Technology in the last decades have received a total of 1.8M indexed citations.
Papers published in Bioresource Technology usually cover Biomedical Engineering (12.7k papers), Pollution (8.0k papers) and Molecular Biology (6.8k papers) specifically the topics of Biofuel production and bioconversion (7.4k papers), Wastewater Treatment and Nitrogen Removal (5.6k papers) and Anaerobic Digestion and Biogas Production (4.5k papers). The most active scholars publishing in Bioresource Technology are Peter McKendry, Jo‐Shu Chang, Jay J. Cheng, Grégorio Crini, Duu‐Jong Lee, Huu Hao Ngo, Charles E. Wyman, Milford A. Hanna, S. Venkata Mohan and Wenshan Guo.
In The Last Decade
Fields of papers published in Bioresource Technology
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 Bioresource Technology. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Bioresource Technology
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Bioresource Technology. 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 Bioresource Technology 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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