Lecture Notes in Computational Vision and Biomechanics

Aims & Scope

Lecture Notes in Computational Vision and Biomechanics (LNCV&B) is a book series that provides a comprehensive forum for discussion on the current state-of-the-art in Computational Vision and Biomechanics, emphasizing their connection. The book series covers applications of Computational Vision and Biomechanics, biometrics and biomedical pattern analysis, cellular imaging and cellular mechanics, clinical biomechanics, computational bioimaging and visualization, computational biology in biomedical imaging, development of biomechanical devices, device and technique development for biomedical imaging, experimental biomechanics, gait & posture mechanics, grid and high performance computing on computational vision and biomechanics, image processing and analysis, image processing and visualization in biofluids, image understanding, material models, mechanobiology, medical image analysis, molecular mechanics, multi-modal image systems, multiscale biosensors in biomedical imaging, multiscale devices and bioMEMS for biomedical imaging, musculoskeletal biomechanics, multiscale analysis in biomechanics, neuromuscular biomechanics, numerical methods for living tissues, numerical simulation, software development on computational vision and biomechanics, sport biomechanics, virtual reality in biomechanics, vision systems, image-based geometric modeling and mesh generation, and digital geometry algorithms for computational vision and visualization. In order to match the scope of the Book Series, each book has to include contents relating, or combining both Image Analysis and mechanics.

A twelfth criterion — whether APC fees are clearly disclosed — is not scored here; it is left out of the total rather than counted as a failure. Publication charges appear in the metrics card above.

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Subject Classification