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2021年最新SCI期刊影响因子查询系统

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International Journal on Document Analysis and Recognition 期刊详细信息

基本信息
期刊名称 International Journal on Document Analysis and Recognition
International Journal on Document Analysis and Recognition
期刊ISSN 1433-2833
期刊官方网站 http://www.springer.com/computer/image+processing/journal/10032
是否OA
出版商 Springer Verlag
出版周期 Quarterly
始发年份 1998
年文章数 19
最新影响因子 3.87(2021)
中科院SCI期刊分区
大类学科 小类学科 Top 综述
工程技术4区 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能4区
CiteScore
CiteScore排名 CiteScore SJR SNIP
学科 排名 百分位 2.90 0.419 1.212
Computer Science
Computer Vision and Pattern Recognition
21 / 75 72%
Computer Science
Software
99 / 360 72%
Computer Science
Computer Science Applications
143 / 569 74%
补充信息
自引率 18.20%
H-index 40
SCI收录状况 Science Citation Index Expanded
官方审稿时间
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=1433-2833%5BISSN%5D
投稿指南
期刊投稿网址
收稿范围
The large number of existing documents and the production of a multitude of new ones every year raise important issues in efficient handling, retrieval and storage of these documents and the information which they contain. This has led to the emergence of new research domains dealing with the recognition by computers of the constituent elements of documents - including characters, symbols, text, lines, graphics, images, handwriting, signatures, etc. In addition, these new domains deal with automatic analyses of the overall physical and logical structures of documents, with the ultimate objective of a high-level understanding of their semantic content. We have also seen renewed interest in optical character recognition (OCR) and handwriting recognition during the last decade. Document analysis and recognition are obviously the next stage.
Automatic, intelligent processing of documents is at the intersections of many fields of research, especially of computer vision, image analysis, pattern recognition and artificial intelligence, as well as studies on reading, handwriting and linguistics. Although quality document related publications continue to appear in journals dedicated to these domains, the community will benefit from having this journal as a focal point for archival literature dedicated to document analysis and recognition.
This journal publishes articles of four primary types - original research papers, correspondence, overviews and summaries, and research notes. Special issues on active areas of research are encouraged. We welcome submissions in all areas related to document analysis and recognition. Possible topics include:
- Document Image Processing
- Document Models
- Handwriting Models and Analysis
- Character and Word Recognition
- On-line Recognition
- Pen Based Computing
- Multi-lingual Processing
- Physical and Logical Analysis
- Graphics Recognition
- Map and Line Drawing Understanding
- Storage and Retrieval of Documents
- Text Analysis and Processing
- Natural Language Issues
- Information Extraction and Filtering
- Performance Evaluation
- Document Authentification and Validation
- Implementations, Applications and Systems
as well as non-traditional topics such as:
- Processing Text in Other Contexts
- Multimedia and Hypermedia Analysis
- Time Varying Documents
- Distributed Document Collections (Digital Libraries).
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