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International Journal on Document Analysis and Recognition : Impact Factor & More

eISSN: 1433-2825pISSN: 1433-2833

Key Metrics

CiteScore
6.7
Impact Factor
< 5
SJR
Q2Software
SNIP
2.09
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Topics Covered on International Journal on Document Analysis and Recognition

International Journal on Document Analysis and Recognition Journal Specifications

Overview
Publisher SPRINGER HEIDELBERG
Language English
Frequency Quarterly
General Details
LanguageEnglish
FrequencyQuarterly
Publication Start Year1998
Publisher URLVisit website
Website URLVisit website
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Recently Published Papers in International Journal on Document Analysis and Recognition

Tableseq: unified generation of structure, content, and layout
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An end-to-end malayalam handwritten word spotting framework integrated with automatic annotation
  • 19 Mar 2026
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Segmentation of Ink and Parchment in Dead Sea Scroll Fragments
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Contour thinning for text detection in Mongolian handwritten historical documents
  • 4 Feb 2026
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Handwritten text line segmentation with TextSAM: An enhanced segment anything model via multi-module fusion
  • 7 Jan 2026
  • International Journal on Document Analysis and Recognition (IJDAR)
Tableseq: unified generation of structure, content, and layout
  • 5 May 2026
  • International Journal on Document Analysis and Recognition (IJDAR)
An end-to-end malayalam handwritten word spotting framework integrated with automatic annotation
  • 19 Mar 2026
  • International Journal on Document Analysis and Recognition (IJDAR)
Segmentation of Ink and Parchment in Dead Sea Scroll Fragments
  • 17 Feb 2026
  • International Journal on Document Analysis and Recognition (IJDAR)
Contour thinning for text detection in Mongolian handwritten historical documents
  • 4 Feb 2026
  • International Journal on Document Analysis and Recognition (IJDAR)
Handwritten text line segmentation with TextSAM: An enhanced segment anything model via multi-module fusion
  • 7 Jan 2026
  • International Journal on Document Analysis and Recognition (IJDAR)

FAQs on International Journal on Document Analysis and Recognition