SIAM Journal on Imaging Sciences

  in Journal   Posted on September 9, 2020

Journal Ranking & Metrics

G2R Score : 4.785
G2R H-Index : 14
JCR Impact Factor : 2.313
Scopus Citescore : 4.7
SCIMAGO H-index : 58
Guide2Research Overall Ranking : 179

Journal Information

ISSN : 1936-4954
Publisher :
Periodicity : Quarterly
Editors-in-Chief : Michael Elad
Journal & Submission Website :

Top Scientists who published in this Journal

Number of top scientists* : 35
Documents published by top scientists* : 43
* Based on data published during the last three years.

Aims & Scope of the Journal

SIAM Journal on Imaging Sciences (SIIMS)
covers all areas of imaging sciences, broadly interpreted. It includes
image formation, image processing, image analysis, image interpretation
and understanding, computer graphics and visualization, imaging-related
machine learning, and inverse problems in imaging; leading to
applications to diverse areas in science, medicine, engineering, and
other fields. Formal approaches, at the level of mathematics and/or
computations, as well as state-of-the-art practical results, are
expected from manuscripts published in SIIMS. SIIMS provides a broad
authoritative source for fundamental results in imaging sciences, with a
unique combination of mathematics and applications. SIIMS is
mathematically and computationally based, and offers a unique forum to
highlight the commonality of methodology, models, and algorithms among
diverse application areas of imaging sciences.

Authors are encouraged to exploit the endless possibilities of an
electronic publication with the use of color, animations, video,
presentations, and additional supplementary material as detailed in the
instructions for authors. SIIMS provides cross-referencing with the
peer-reviewed journal Image Processing On Line (IPOL).
We encourage authors to submit their algorithm description and software
to IPOL in order to increase the visibility of their work and the
potential for collaboration between researchers.

Research papers that innovate both in the fundamentals and in the
applications are especially welcome. SIIMS focuses on conceptually new
ideas, methods, and fundamentals as applied to all aspects of imaging