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JOURNAL OF MATHEMATICAL IMAGING AND VISION
基本信息
期刊名称 JOURNAL OF MATHEMATICAL IMAGING AND VISION
J MATH IMAGING VIS
期刊ISSN 0924-9907
期刊官方网站 http://link.springer.com/journal/10851
是否OA
出版商 Springer Netherlands
出版周期 Bimonthly
始发年份 1991
年文章数 81
最新影响因子 2.0(2022)  scijournal影响因子  greensci影响因子
中科院SCI期刊分区
大类学科 小类学科 Top 综述
工程技术3区 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能4区
COMPUTER SCIENCE, SOFTWARE ENGINEERING 计算机:软件工程3区
MATHEMATICS, APPLIED 应用数学2区
CiteScore
CiteScore排名 CiteScore SJR SNIP
学科 排名 百分位 1.89 0.669 1.329
Mathematics
Geometry and Topology
5 / 78 94%
Computer Science
Computer Vision and Pattern Recognition
32 / 75 58%
Mathematics
Statistics and Probability
44 / 206 78%
Mathematics
Modelling and Simulation
85 / 259 67%
Mathematics
Applied Mathematics
114 / 460 75%
Physics and Astronomy
Condensed Matter Physics
150 / 397 62%
补充信息
自引率 12.40%
H-index 57
SCI收录状况 Science Citation Index
Science Citation Index Expanded
官方审稿时间
Submission to first decision
51 days
网友分享审稿时间 数据统计中,敬请期待。
PubMed Central (PML) http://www.ncbi.nlm.nih.gov/nlmcatalog?term=0924-9907%5BISSN%5D
投稿指南
期刊投稿网址 https://www.editorialmanager.com/jmiv/default.aspx
收稿范围

The Journal of Mathematical Imaging and Vision is a technical journal publishing important new developments in mathematical imaging. The journal publishes research articles, invited papers, and expository articles.

Current developments in new image processing hardware, the advent of multisensor data fusion, and rapid advances in vision research have led to an explosive growth in the interdisciplinary field of imaging science. This growth has resulted in the development of highly sophisticated mathematical models and theories. The journal emphasizes the role of mathematics as a rigorous basis for imaging science. This provides a sound alternative to present journals in this area. Contributions are judged on the basis of mathematical content. Articles may be physically speculative but need to be mathematically sound. Emphasis is placed on innovative or established mathematical techniques applied to vision and imaging problems in a novel way, as well as new developments and problems in mathematics arising from these applications.

The scope of the journal includes:

computational models of vision; imaging algebra and mathematical morphology
mathematical methods in reconstruction, compactification, and coding
filter theory
probabilistic, statistical, geometric, topological, and fractal techniques and models in imaging science
inverse optics
wave theory.

Specific application areas of interest include, but are not limited to:

all aspects of image formation and representation
medical, biological, industrial, geophysical, astronomical and military imaging
image analysis and image understanding
parallel and distributed computing
computer vision architecture design.

The journal emphasizes its commitment to present coverage in these areas which span the interest of a global audience. The Editorial Board publishes manuscripts that are well-written and make a significant technical contribution.


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编辑信息

Founding Editor:

Gerhard X. Ritter
University of Florida, Dept. of Computer and Information Science, Gainesville, USA

Editor-in-Chief:

Joachim Weickert
Saarland University, Germany

Editorial Board: 

Luis Alvarez, Universidad de Las Palmas de Gran Canaria, Spain 
Gilles Aubert, University of Nice-Sophia Antipolis, France 
Jean-François AujolUniversité Bordeaux, France 
João Pedro BarretoUniversity of Coimbra, Portugal 
Joost BatenburgCWI, Amsterdam, The Netherlands 
Partha Bhowmick, IIT Kharagpur, India 
Michael Breuß, BTU Cottbus-Senftenberg, Germany 
Martin BurgerUniversity of Münster, Germany 
Daniela CalvettiCWRU, Cleveland, USA 
Antonin ChambolleEcole Polytechnique, France 
Raymond H. Chan, The Chinese University of Hong Kong, Hong Kong 
Beijing Chen, Nanjing University of Information Science & Technology, China 
Yunmei ChenUniversity of Florida, USA 
Krzysztof Chris Ciesielski, West Virginia University, USA 
David Coeurjolly, CNRS, Université de Lyon, France 
Remco Duits, TU Eindhoven, The Netherlands 
Jürgen Gall, University of Bonn, Germany
Guy Gilboa, Technion, Hafia, Israel 
Manuel Graña, University of the Basque Country, Spain 
Lewis Griffin, UC London, UK
Patrick Guidotti, University of California, Irvine, USA
Christine Guillemot, INRIA, France 
Fredrik Kahl, Chalmers University of Technology, Sweden 
Gitta Kutyniok, TU Berlin, Germany 
Victor Lempitsky, Skoltech, Russia 
Julien Mairal, INRIA Grenoble, France 
Jan Modersitzki, University of Lübeck, Germany 
Jean-Michel Morel, CMLA, Ecole Normale Supérieure de Cachan, France 
Serena Morigi, University of Bologna, Italy 
Peter J. Olver, University of Minnesota, USA 
Nicolas Passat, Université de Reims Champagne-Ardenne, France 
Xavier Pennec, INRIA, Sophia-Antipolis, France 
Gabriel Peyré, CNRS, Université Paris-Dauphine, France 
Jean-Charles Pinoli, Ecole Nationale Superieure des Mines de Saint-Etienne 
Thomas Pock, Graz University of Technology, Austria 
Christian Ronse, Université Louis Pasteur, Strasbourg, France 
Martin Rumpf, University of Bonn, Germany 
Naoki Saito, University of California-Davis, USA 
Otmar Scherzer, Universität Wien, Austria 
Christoph Schnörr, University of Heidelberg, Germany 
Carola-Bibiane Schönlieb, University of Cambridge, UK 
Stefan Horst Sommer, University of Copenhagen, Denmark 
Anuj Srivastava, Florida State University, Tallahassee, USA 
Gabriele Steidl, TU Kaiserslautern, Germany 
Peter Sussner, University of Campinas, Brazil 
Xue-Cheng Tai, Hong Kong Baptist University, Hong Kong
Chi Keung Tang, Hong Kong University of Science and Technology, Hong Kong 
Chrysoula Tsogka, Foundation for Research and Technology - Hellas, Greece 
Martin Welk, University for Health Sciences, Medical Informatics and Technology, Austria 
Jovisa Zunic, Serbian Academy of Sciences and Arts, Serbia


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