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Danielle Falzon – Assistant Professor, Sociology — 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
kelleyfong.com ↗	78 match 1 shared topics	Kelley Fong – Assistant Professor of Sociology	en	education WordPress	robotsllmsaihumans	emailphone	none
katherinecjensen.com ↗	74 match 1 shared topics	KATHERINE JENSEN – Assistant Professor of Sociology and International Studies	en	education WordPress	robotsllmsaihumans	emailphone	none
annmische.com ↗	73 match 1 shared topics	Ann Mische - Associate Professor of Sociology	en	education WordPress	robotsllmsaihumans	emailphone	none
katiequinn88.com ↗	73 match 1 shared topics	Katie Quinn • Assistant Professor at Seattle University	en	education WordPress	robotsllmsaihumans	emailphone	none
fabriciofialho.com ↗	72 match 1 shared topics	Fabrício M. Fialho \| Assistant Professor of Sociology, HSE • Research Fellow, LSE	en	education WordPress	robotsllmsaihumans	emailphone	none
danielhoek.com ↗	72 match 1 shared topics	Daniel Hoek – Assistant Professor of Philosophy, Virginia Tech	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
katharinelanders.com ↗	71 match 1 shared topics	Katharine Landers, Visiting Assistant Professor	en	education WordPress	robotsllmsaihumans	emailphone	none
danielauguste.com ↗	70 match 1 shared topics	Daniel Auguste, PhD – Assistant Professor of Entrepreneurship, Babson College	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
danielrenfrow.com ↗	68 match 1 shared topics	Daniel G. Renfrow, PhD – Sociologist	en	education WordPress	robotsllmsaihumans	emailphone	none
kathrynlanouette.com ↗	68 match 1 shared topics	Kathryn Lanouette – Kathryn Lanouette is an Assistant Professor of Learning Sciences and Science Education at William & Mary’s School of Education.	en	education WordPress	robotsllmsaihumans	emailphone	none
danieljmonti.com ↗	67 match 1 shared topics	Daniel J Monti - Sociology and Social Historian \| Daniel J Monti	en	education	robotsllmsaihumans	emailphone	none
danielklieu.com ↗	67 match 1 shared topics	Daniel K Lieu, Ph.D. – STEM Teacher \| Adjunct Professor \| Education Leader	en	education WordPress	robotsllmsaihumans	emailphone	none
daniellekurin.com ↗	67 match 1 shared topics	Danielle Kurin	en	education	robotsllmsaihumans	emailphone	none
annettevee.com ↗	67 match 1 shared topics	annette vee: assistant professor of english at the university of pittsburgh	en	education	robotsllmsaihumans	emailphone	none
annaberesin.com ↗	67 match 1 shared topics	Anna Beresin \| Professor of Psychology & Folklore	en	education Wix Wix Stores	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
danemataic.com ↗	67 match 1 shared topics	Dane R. Mataic	United States~ en	education	robotsllmsaihumans	emailphone	none
bardaaup.org ↗	67 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.