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Stacey C Dearing | Teaching Professor of English at Siena University — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Education →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
annettevee.com ↗	71 match 1 shared topics	annette vee: assistant professor of english at the university of pittsburgh	en	education	robotsllmsaihumans	emailphone	none
katiequinn88.com ↗	68 match 1 shared topics	Katie Quinn • Assistant Professor at Seattle University	en	education WordPress	robotsllmsaihumans	emailphone	none
katjavogt.com ↗	68 match 1 shared topics	Katja Maria Vogt – Professor of Philosophy \| Columbia University	en	education WordPress	robotsllmsaihumans	emailphone	none
katjamariavogt.com ↗	68 match 1 shared topics	Katja Maria Vogt – Professor of Philosophy \| Columbia University	en	education WordPress	robotsllmsaihumans	emailphone	none
annamaeduane.com ↗	67 match 1 shared topics	Anna Mae Duane – Professor of English and UConn Humanities Institute Director	en	education WordPress	robotsllmsaihumans	emailphone	none
katharinelanders.com ↗	67 match 1 shared topics	Katharine Landers, Visiting Assistant Professor	en	education WordPress	robotsllmsaihumans	emailphone	none
dianeravitch.com ↗	67 match 1 shared topics	Diane Ravitch – Research Professor of Education at New York University and a historian of education	en	education WordPress	robotsllmsaihumans	emailphone	none
viviennewestbrook.com ↗	67 match 1 shared topics	Vivienne Ruth Westbrook, Ph.D. – Professor of English and Cultural Studies	en	education WordPress	robotsllmsaihumans	emailphone	none
kelleyfong.com ↗	67 match 1 shared topics	Kelley Fong – Assistant Professor of Sociology	en	education WordPress	robotsllmsaihumans	emailphone	none
designthinkingavila.org ↗	66 match 1 shared topics	Design Thinking - Avila University	en	education Weebly	robotsllmsaihumans	emailphone	none
renatamiller.com ↗	66 match 1 shared topics	Renata Kobetts Miller, Ph.D. – Professor of English and Deputy Dean of Humanities and the Arts at the City College of New York	en	education WordPress	robotsllmsaihumans	emailphone	none
ericpiza.net ↗	66 match 1 shared topics	Eric L. Piza, Ph.D. – Lipman Family Professor \| School of Criminology & Criminal Justice \| Northeastern University	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
bubooks.com ↗	66 match 1 shared topics	Bubooks.com - Textbook trading and Professor ratings for Baylor University students!	en	education	robotsllmsaihumans	emailphone	none
annaberesin.com ↗	66 match 1 shared topics	Anna Beresin \| Professor of Psychology & Folklore	en	education Wix Wix Stores	robotsllmsaihumans	emailphone	none
buffalohscuup.com ↗	66 match 1 shared topics	Buffalo Health Science Center Chapter of United University Professions (UUP) at the University at Buffalo.	United States~ en	education	robotsllmsaihumans	email phone	none
ensenaparaamerica.org ↗	66 match 1 shared topics	Find Your Purpose \| Teaching Programs \| Teach for America	United States~ en	education Drupal	robotsllmsaihumans	emailphone	none
daris-portfolio.com ↗	66 match 1 shared topics	Home \| Teaching Portfolio	en	education Wix	robots llmsaihumans	emailphone	none
bardaaup.org ↗	66 match 1 shared topics	Bard AAUP – Online home for The Bard College Chapter of the American Association of University Professors	en	education WordPress	robotsllmsaihumans	emailphone	none

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:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

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.