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JAY Wanigatunga – Artist » Jay Wanigatunga - Artist · ranked by category · tech stack · backlink co-citation
41match
jmbarbach.com
Jamel Barbach – Artiste
0 co-citations4 shared tech2 shared categorypainting
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iuliaraita.com
Iulia Raita – Artist Based In UK
0 co-citations4 shared tech2 shared categorypainting
39match
felicitypriest.com
Felicity Priest – portraits and paintings
0 co-citations4 shared tech2 shared categorypainting
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bbjoachim.com
Robert Joachim – From Plein Air to Abstraction
0 co-citations4 shared tech2 shared categorypainting
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federicobaca.com
Federico Baca | ARTIST | PRINTMAKER
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38match
kellyjang.com
Visual Artist – Visual art and Korean art education.
0 co-citations3 shared tech2 shared categorypainting
38match
jasminellisart.com
Jasmin Ellis Art – Australian artist based in Hobart, Tasmania
0 co-citations3 shared tech2 shared categorypainting
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janetdewagt.com
Janet de Wagt – Artist Community Artist
0 co-citations3 shared tech2 shared categorypainting
38match
elianamenasse.com
Eliana Menassé – Página web de Eliana Menassé – artista plástica mexicana
0 co-citations4 shared tech2 shared categorypainting
37match
felixdaly.com
Felix Daly – Work by Glasgow based Scottish Artist, Felix Daly
0 co-citations3 shared tech2 shared categorypainting
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bone-made.com
Bone-Made – Art, Music and Food by Michael & Ginger Bone
0 co-citations3 shared tech2 shared categorypainting
37match
joanfolinsbee.com
Joan Folinsbee
0 co-citations4 shared tech2 shared categorypainting
37match
diannegall.com
dianne gall |
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fieldingarcher.com
Fielding Archer | Fielding Archer Portraits
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37match
juliemaluje.com
Julie Machallová | Artworks – Painter Yogini and Traveller
0 co-citations4 shared tech2 shared categorypainting
37match
graywoodstudio.com
Graywood Studio – Artist, Teacher & Creator
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janetboddy.com
Janet r. Boddy – Retrospective 1964 – 2019
0 co-citations3 shared tech2 shared categorypainting
37match
jmasiart.com
J. Masi Art – Art by J. masi
0 co-citations4 shared tech2 shared categorypainting

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.