File:Co-citation Proximity Analysis Concept.svg

{{Non-free use rationale 2

|Description = Documents B and C are cited in closer proximity to each other in the full-text of the citing document, when compared to document A. Hence, documents B and C are considered more strongly related according to co-citation proximity analysis.

|Source = Bela Gipp and Joeran Beel. Citation Proximity Analysis (CPA) – A new approach for identifying related work based on Co-Citation Analysis. In Birger Larsen and Jacqueline Leta, editors, Proceedings of the 12th International Conference on Scientometrics and Informetrics (ISSI’09), volume 2, pages 571-575, Rio de Janeiro (Brazil), jul 2009. International Society for Scientometrics and Informetrics. ISSN 2175-1935. Available at http://gipp.com/wp-content/papercite-data/pdf/gipp09a.pdf

|Date = 2009

|Author = Bela Gipp and Joeran Beel

|Article = Co-citation Proximity Analysis

|Purpose = For visual identification of the object of the article. The article as a whole is dedicated specifically to a discussion of this work.

|Replaceability = n.a.

|Minimality = Minimal use is given, since this drawing only serves to illustrate the concept of "co-citation proximity analysis"

|Commercial = n.a.

}}

{{Non-free 2D art|image has rationale=yes}}

{{Category ordered by date|Non-free files uploaded as object of commentary|2013|02|20}}