Ranking & Metrics Journal Information Aims & Scope of the Journal Special Issues
Machine Vision and Applications

Machine Vision and Applications

Impact Score 3.3


Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing top scientists in addition to the h-index estimated from the scientific papers published by top scientists. See more details on our methodology page.

Research Impact Score: 3.3
JCR Impact Factor: 1.605
Scopus Citescore: 4.2
SCIMAGO H-index: 63
Research Ranking (Computer Science) 304
Number of Top scientists: 30
Documents by top scientists: 33

Journal Information

ISSN: 0932-8092
Publisher: Machine Vision and Applications
Periodicity: Bi-Monthly
Editors-in-Chief: Rahul Sukthankar
Journal & Submission Website: https://www.springer.com/journal/138

Aims & Scope of the Journal

Machine Vision and Applications publishes original research documents in the field of Image Processing & Computer Vision and Machine Learning & Artificial intelligence. The journal is targeted at professors, practitioners and scientists who are interested in such topics of academic research . The publication protocol for Machine Vision and Applications is to publish new innovative contributions that have been extensively reviewed by skilled academic peers. The journal encourages submissions from the research community where emphasis will be placed on the innovativeness and the practical significance of the published work.

Machine Vision and Applications is listed in a wide range of abstracting and indexing databases such as Scopus, Web of Science and Guide2Research. A number of leading scholars have published their research contributions at this Journal including Paul L. Rosin, Yudong Zhang, Huadong Ma and Noel E. O'Connor.

For extra details on the instructions and submission provisions for authors, it is recommended to see the official website for the journal for Machine Vision and Applications at https://www.springer.com/journal/138 .

Special Issues

Publisher Journal Details Closing date G2R Score
Learning and Understanding of Biomedical Big Data

Learning and Understanding of Biomedical Big Data

Machine Vision and Applications