A Recursive Algorithm for the Generative Study of Seljuk Muqarnas in Kayseri and Sivas

dc.contributor.author Gokmen, Sabri
dc.contributor.author Aykin, Yusuf
dc.contributor.author Basik, Altan
dc.contributor.author Alacam, Sema
dc.date.accessioned 2023-10-19T15:12:01Z
dc.date.available 2023-10-19T15:12:01Z
dc.date.issued 2023
dc.description.abstract Recent developments in archeological research extend diverse technological methods for the geometric deciphering and cultural understanding of various historical building components. One of the emerging methods in this field is the development of generative algorithms to develop computational models for the comparative study of variation among different structures belonging to a common era, style, or region. In this study, we present a novel approach for the computational analysis and parametric modeling of muqarnas found among Anatolian Seljuk architecture in Kayseri and Sivas built in the 13th century. Using four different octagonal muqarnas structures, we outline common generative rules showing recursive stacking of geometric layers, fractal patterns and hierarchical branching of the axis of symmetry. A recursive algorithm is developed that can offer a generative study of muqarnas structures using proportions based on the 'silver ratio.' The development of the algorithm is presented through rules and variations that can offer a novel perspective for the geometric understanding and categorization of muqarnas in the region. en_US
dc.description.sponsorship TUBITAK (The Scientific and Technological Research Council Of Turkey) [218K328] en_US
dc.description.sponsorship This research is funded by TUBITAK (The Scientific and Technological Research Council Of Turkey) under the project number 218K328. Authors would like to thank Sevgi Altun and Mustafa Cem Gunes for their initial contributions of the carried research. All images are produced by the authors. en_US
dc.identifier.citationcount 1
dc.identifier.doi 10.1007/s00004-023-00686-4 en_US
dc.identifier.issn 1590-5896
dc.identifier.issn 1522-4600
dc.identifier.scopus 2-s2.0-85151483034 en_US
dc.identifier.uri https://doi.org/10.1007/s00004-023-00686-4
dc.identifier.uri https://hdl.handle.net/20.500.12469/5314
dc.khas 20231019-WoS en_US
dc.language.iso en en_US
dc.publisher Kim Williams Books en_US
dc.relation.ispartof Nexus Network Journal en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Muqarnas en_US
dc.subject Algorithm en_US
dc.subject Seljuk en_US
dc.subject Recursion en_US
dc.subject Symmetry en_US
dc.title A Recursive Algorithm for the Generative Study of Seljuk Muqarnas in Kayseri and Sivas en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Gokmen, Sabri/0000-0001-7221-8971
gdc.author.institutional Gökmen, Sabri
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.description.departmenttemp [Gokmen, Sabri; Aykin, Yusuf; Basik, Altan; Alacam, Sema] Kadir Has Univ, TR-34083 Istanbul, Turkiye en_US
gdc.description.endpage 772 en_US
gdc.description.issue 3 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 751 en_US
gdc.description.volume 25 en_US
gdc.description.wosquality Q4
gdc.identifier.openalex W4362590528
gdc.identifier.wos WOS:000963869800003 en_US
gdc.oaire.diamondjournal false
gdc.oaire.impulse 3.0
gdc.oaire.influence 2.9305214E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Algorithm
gdc.oaire.keywords Symmetry
gdc.oaire.keywords Seljuk
gdc.oaire.keywords Recursion
gdc.oaire.keywords Muqarnas
gdc.oaire.popularity 3.5187662E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0211 other engineering and technologies
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.fwci 3.602
gdc.openalex.normalizedpercentile 0.92
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 1
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gdc.plumx.scopuscites 4
gdc.scopus.citedcount 4
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