A bibliometric analysis of off-line handwritten document analysis literature (1990–2020)

作者：

Highlights：

• 5389 articles are examined to study the literature on off-line handwritten document analysis for the last thirty years.

• Two techniques are applied: performance analysis and science mapping techniques.

• The examination reveals the highest influential articles and the most productive authors and their collaboration networks.

• The examination reveals which countries and institutions are leading research and the largest publishers.

• The most relevant research topics and their evolution are studied and discussed.

摘要

•5389 articles are examined to study the literature on off-line handwritten document analysis for the last thirty years.•Two techniques are applied: performance analysis and science mapping techniques.•The examination reveals the highest influential articles and the most productive authors and their collaboration networks.•The examination reveals which countries and institutions are leading research and the largest publishers.•The most relevant research topics and their evolution are studied and discussed.

论文关键词：Automatic document analysis,Off-line handwriting recognition,Writer identification,Signature verification,Bibliometrics,Science mapping

论文评审过程：Received 17 March 2021, Revised 22 December 2021, Accepted 23 December 2021, Available online 28 December 2021, Version of Record 10 January 2022.

论文官网地址：https://doi.org/10.1016/j.patcog.2021.108513