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

Identificadores del recurso

Victoria Ruiz-Parrado, Ruben Heradio, Ernesto Aranda-Escolastico, ?ngel S?nchez, Jos? F. V?lez, A bibliometric analysis of off-line handwritten document analysis literature (1990?2020), Pattern Recognition, Volume 125, 2022, 108513, ISSN 0031-3203, https://doi.org/10.1016/j.patcog.2021.108513. (https://www.sciencedirect.com/science/article/pii/S0031320321006890)

0031-3203

http://hdl.handle.net/10115/19181

10.1016/j.patcog.2021.108513

Procedencia

(BURJC-Digital: Repositorio Institucional de la Universidad Rey Juan Carlos)

Ficha

Título:: A bibliometric analysis of off-line handwritten document analysis literature (1990?2020)
Tema:: Automatic document analysis; Off-line handwriting recognition; Writer identification; Signature verification; Bibliometrics; Science mapping
Descripción:: Providing computers with the ability to process handwriting is both important and challenging, since many difficulties (e.g., different writing styles, alphabets, languages, etc.) need to be overcome for addressing a variety of problems (text recognition, signature verification, writer identification, word spotting, etc.). This paper reviews the growing literature on off-line handwritten document analysis over the last thirty years. A sample of 5389 articles is examined using bibliometric techniques. Using bibliometric techniques, this paper identifies (i) the most influential articles in the area, (ii) the most productive authors and their collaboration networks, (iii) the countries and institutions that have led research on the topic, (iv) the journals and conferences that have published most papers, and (v) the most relevant research topics (and their related tasks and methodologies) and their evolution over the years.
Idioma:: English
Autor/Productor:: Ruiz-Parrado, Victoria; Heradio, Ruben; Aranda-Escolastico, Ernesto; S?nchez, ?ngel; V?lez, Jos? F.
Editor:: Elsevier
Derechos:: Atribuci?n 4.0 Internacional; http://creativecommons.org/licenses/by/4.0/; info:eu-repo/semantics/openAccess
Fecha:: 2022-04-27T14:04:46Z; 2021
Tipo de recurso:: info:eu-repo/semantics/article

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        <field name="value">Victoria Ruiz-Parrado, Ruben Heradio, Ernesto Aranda-Escolastico, ?ngel S?nchez, Jos? F. V?lez, A bibliometric analysis of off-line handwritten document analysis literature (1990?2020), Pattern Recognition, Volume 125, 2022, 108513, ISSN 0031-3203, https://doi.org/10.1016/j.patcog.2021.108513. (https://www.sciencedirect.com/science/article/pii/S0031320321006890)</field>
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        <field name="value">Providing computers with the ability to process handwriting is both important and challenging, since many difficulties (e.g., different writing styles, alphabets, languages, etc.) need to be overcome for addressing a variety of problems (text recognition, signature verification, writer identification, word spotting, etc.). This paper reviews the growing literature on off-line handwritten document analysis over the last thirty years. A sample of 5389 articles is examined using bibliometric techniques. Using bibliometric techniques, this paper identifies (i) the most influential articles in the area, (ii) the most productive authors and their collaboration networks, (iii) the countries and institutions that have led research on the topic, (iv) the journals and conferences that have published most papers, and (v) the most relevant research topics (and their related tasks and methodologies) and their evolution over the years.</field>
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