International Journal on Document Analysis and Recognition

期刊基本信息

  • 期刊名称:International Journal on Document Analysis and Recognition
  • 期刊级别: Science Citation Index Expanded (SCIE) Scopus (CiteScore)
  • 期刊ISSN:1433-2833
  • 期刊EISSN:1433-2825
  • 简称:INT J DOC ANAL RECOG
  • 影响因子:2.5
  • 实时影响因子:截止2025年5月19日:2.371
  • 五年影响因子:2.7
  • JCI期刊引文指标:0.37
  • h-index:44
  • 2024-2025自引率:12.00%
  • 期刊官方网站:期刊官方网站
  • 期刊投稿网址:https://www.editorialmanager.com/ijda/
  • 是否OA开放访问:No
  • 出版商:Springer Berlin Heidelberg
  • 出版年份:1998

International Journal on Document Analysis and Recognition

Science Citation Index Expanded (SCIE)Scopus (CiteScore)

期刊介绍

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.

期刊语言要求

Language
Presenting your work in a well-structured manuscript and in well-written English gives it its best chance for editors and reviewers to understand it and evaluate it fairly. Many researchers find that getting some independent support helps them present their results in the best possible light.

投稿要求

  • 通讯方式:SPRINGER HEIDELBERG, TIERGARTENSTRASSE 17, HEIDELBERG, GERMANY, D-69121
  • 涉及的研究方向:工程技术-计算机:人工智能
  • 出版国家或地区:GERMANY
  • 出版语言:English
  • 年文章数:50
  • PubMed Central (PMC)链接:http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1433-2833%5BISSN%5D
  • 平均录用比例:容易

CITESCORE

CiteScoreSJRSNIPCiteScore排名
5.700.8301.962
学科分区排名百分位
大类:Computer Science
小类:Computer Vision and Pattern Recognition
Q241 / 157
74%
大类:Computer Science
小类:Computer Science Applications
Q2284 / 947
70%
大类:Computer Science
小类:Software
Q2163 / 490
66%

WOS期刊JCR分区

WOS分区等级:3区

按JIF指标学科分区收录子集JIF分区JIF排名JIF百分位
学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCESCIEQ3116/204
43.4%
按JCI指标学科分区收录子集JCI分区JCI排名JCI百分位
学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCESCIEQ3145/204
29.17%

期刊分区表预警名单

2025年03月发布的2025版:不在预警名单中

2024年02月发布的2024版:不在预警名单中

2023年01月发布的2023版:不在预警名单中

2021年12月发布的2021版:不在预警名单中

2020年12月发布的2020版:不在预警名单中

中科院2025年3月升级版

点击查看中国科学院期刊分区趋势图
大类学科小类学科Top期刊综述期刊
计算机科学 1区3区1区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
计算机:人工智能
4区1区3区

中科院2023年12月旧的升级版

大类学科小类学科Top期刊综述期刊
计算机科学 4区4区3区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
计算机:人工智能
1区4区4区

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