Computers in Biology and Medicine

9.2k papers and 161.3k indexed citations i.

About

The 9.2k papers published in Computers in Biology and Medicine in the last decades have received a total of 161.3k indexed citations. Papers published in Computers in Biology and Medicine usually cover Radiology, Nuclear Medicine and Imaging (2.0k papers), Molecular Biology (1.9k papers) and Artificial Intelligence (1.6k papers) specifically the topics of AI in cancer detection (813 papers), Radiomics and Machine Learning in Medical Imaging (670 papers) and EEG and Brain-Computer Interfaces (639 papers). The most active scholars publishing in Computers in Biology and Medicine are U. Rajendra Acharya, Özal Yıldırım, Ru San Tan, Michael Katz, Shu Lih Oh, Abdülhamit Subaşı, Barry Robson, Elif Derya Übeylï, Jen Hong Tan and Vangelis Sakkalis.

In The Last Decade

Fields of papers published in Computers in Biology and Medicine

Since Specialization

EngineeringComputer 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 Computers in Biology and Medicine. Nodes represent fields, and links connect fields that are likely to share authors.

Countries where authors publish in Computers in Biology and Medicine

Since Specialization

Total citations of papers

This map shows the geographic distribution of research published in Computers in Biology and Medicine. 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 Computers in Biology and Medicine 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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