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Fabio Sánchez – Professor of International Relations & Colombian Foreign Policy — 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 Politics →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
ericachenoweth.org ↗	69 match 2 shared topics	Erica Chenoweth – International Relations, Political Violence, and Civil Resistance	en	politics WordPress	robotsllmsaihumans	emailphone	none
eair-caucus.org ↗	69 match 2 shared topics	EAIR Caucus – East Asian International Relations (EAIR) Caucus	en	political-issues-and-policy WordPress	robotsllmsaihumans	emailphone	none
evanlieberman.org ↗	68 match 2 shared topics	Evan Lieberman – Professor of Political Science and Director of the Center for International Studies (CIS) at MIT	en	politics WordPress	robotsllmsaihumans	emailphone	partial · 8
csis.org ↗	68 match 2 shared topics	CSIS \| Center for Strategic and International Studies	en	politics Drupal	robotsllmsaihumans	emailphone	partial · 1
brzezinskiinstitute.com ↗	68 match 2 shared topics	CSIS \| Center for Strategic and International Studies	en	politics Drupal	robotsllmsaihumans	emailphone	none
cuncr.org ↗	68 match 2 shared topics	Home - Center for United Nations Constitutional Research	en	political-issues-and-policy WordPress	robotsllmsaihumans	emailphone	none
chrisblattman.com ↗	67 match 2 shared topics	Chris Blattman – International development, economics, politics, and policy	en	politics WordPress	robotsllmsaihumans	emailphone	none
appc.org.uk ↗	67 match 2 shared topics	Association of Professional Political Consultants (APPC)	United Kingdom en	politics WordPress	robotsllmsaihumans	emailphone	none
antifascismresearchnetwork.com ↗	67 match 2 shared topics	Worldwide Antifascism Research Network – An international network of academics studying Antifascism	en	politics WordPress	robotsllmsaihumans	emailphone	none
barryslevitt.com ↗	66 match 2 shared topics	Barry S. Levitt – Latin America, Disaster Politics & Policy, Comparative Politics	en	political-issues-and-policy WordPress	robotsllmsaihumans	emailphone	none
danielmsilverman.com ↗	66 match 2 shared topics	Daniel Silverman \| Assistant Professor at Carnegie Mellon University	en	politics WordPress	robotsllmsaihumans	emailphone	none
danielrunde.com ↗	66 match 2 shared topics	Daniel F. Runde – Building towards Freedom, Prosperity, and Foreign Policy.	en	politics WordPress	robotsllmsaihumans	emailphone	none
enoughrush.org ↗	66 match 2 shared topics	Enough Rush – National Women's Policy	en	politics WordPress	robotsllmsaihumans	emailphone	none
ethiopianforeignpolicy.com ↗	66 match 2 shared topics	Ethiopian Foreign Policy \| ውጫሌ: Read The Fine Print	en	politics WordPress	robotsllmsaihumans	emailphone	none
mediavni.com ↗	66 match 2 shared topics	MEDIA VNI - Vision National & International	en	politics Reaction Commerce	robotsllmsaihumans	emailphone	none
danieldrache.com ↗	66 match 2 shared topics	Daniel Drache – Professor Emeritus of Political Science.	en	politics WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cips-indonesia.org ↗	65 match 2 shared topics	Home \| Center for Indonesian Policy Studies \| Think Tank	en	political-issues-and-policy Wix	robots llmsaihumans	emailphone	none
crystalwhetstone.com ↗	65 match 2 shared topics	Crystal Whetstone – Making gender and politics research accessible	en	politics 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.